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- sidecars/korhogo_malaria/korhogo_malaria_s0002_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0003_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0005_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0008_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0009_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0010_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0011_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0017_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0020_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0021_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0026_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0027_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0033_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0034_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0035_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0038_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0040_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0041_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0046_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0047_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0052_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0054_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0055_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0059_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0062_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0063_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0064_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0068_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0069_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0070_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0071_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0076_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0080_label_positive_jitter_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0083_hard_negative_water_urban_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0085_hard_negative_water_urban_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0086_hard_negative_water_urban_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0089_hard_negative_water_urban_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0090_hard_negative_water_urban_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0093_hard_negative_water_urban_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0095_hard_negative_water_urban_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0096_hard_negative_water_urban_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0099_hard_negative_water_urban_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0101_hard_negative_water_urban_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0102_hard_negative_water_urban_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0104_hard_negative_water_urban_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0107_hard_negative_water_urban_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0108_hard_negative_water_urban_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0111_hard_negative_water_urban_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0112_hard_negative_water_urban_sidecar.json +156 -0
- sidecars/korhogo_malaria/korhogo_malaria_s0114_hard_negative_water_urban_sidecar.json +156 -0
sidecars/korhogo_malaria/korhogo_malaria_s0002_label_positive_jitter_sidecar.json
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| 1 |
+
{
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| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
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| 3 |
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"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
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| 4 |
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"run_id": "vectoros_vector_100k_simsat_20260506",
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| 5 |
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"chip_id": "korhogo_malaria_s0002_label_positive_jitter",
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| 6 |
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"aoi_id": "korhogo_malaria",
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| 7 |
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"split": "test",
|
| 8 |
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"disease_module": "mosquito_anopheles_malaria",
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| 9 |
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"primary_disease": "malaria",
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| 10 |
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"country": "Cote d'Ivoire",
|
| 11 |
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"name": "Korhogo, Cote d'Ivoire",
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| 12 |
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"timestamp": "2025-12-31T12:00:00Z",
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| 23 |
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| 24 |
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],
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| 25 |
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"panel_order": [
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| 26 |
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"top_left: SimSat Sentinel-2 true-color RGB",
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| 27 |
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"top_right: SimSat Sentinel-2 false color NIR-red-green",
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| 28 |
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"bottom_left: Mapbox satellite context",
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| 29 |
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"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
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| 30 |
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],
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| 31 |
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"image_packet": {
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| 32 |
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"path": "image_packets/korhogo_malaria/korhogo_malaria_s0002_label_positive_jitter_packet.png",
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| 33 |
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"sha256": "6d541e4c5e6c165686f9b46f716cf4f8bc65d59aceeeb376ce6276daa736bd08",
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"width": 1024,
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| 36 |
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"source_assets": {
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| 38 |
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"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
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| 39 |
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"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0002_label_positive_jitter",
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| 40 |
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"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0002_label_positive_jitter/sentinel_rgb.png",
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| 41 |
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"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0002_label_positive_jitter/sentinel_false_color_nir_red_green.png",
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| 42 |
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"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0002_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
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| 43 |
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"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0002_label_positive_jitter/sentinel_metadata.json",
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| 44 |
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"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0002_label_positive_jitter/mapbox_satellite.png",
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| 45 |
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"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0002_label_positive_jitter/mapbox_metadata.json",
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| 46 |
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"source_layers": {
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| 47 |
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"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
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| 48 |
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"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
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| 49 |
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"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
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| 50 |
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"jrc_gsw": {
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| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
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| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
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| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
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| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
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| 55 |
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},
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| 56 |
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"osm": {
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| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
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| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
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| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
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| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
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| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
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| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
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| 63 |
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},
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| 64 |
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"labels": {
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| 65 |
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"gbif_vector": [
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| 66 |
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"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
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| 67 |
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],
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| 68 |
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"map_disease": [
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| 69 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
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| 70 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
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],
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| 72 |
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"map_vector": [
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| 73 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
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]
|
| 75 |
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}
|
| 76 |
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},
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| 77 |
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"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
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| 78 |
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"simsat_provider_repo": "SimSat"
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| 79 |
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| 80 |
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"quality": {
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"evidence_packet_available": true,
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"sentinel_datetime": "2025-12-22T10:58:35Z",
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"sentinel_source": "sentinel-2b",
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"mapbox_target_visible": true,
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
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"jrc_gsw_occurrence": {
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| 116 |
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| 125 |
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}
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| 133 |
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| 134 |
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},
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"label_counts": {
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"vector_label": 2832,
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"disease_label": 0,
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| 139 |
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"disease_aggregate": 0
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| 140 |
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}
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},
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"label_quality": {
|
| 143 |
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"tier": "weak_label_positive",
|
| 144 |
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"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
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},
|
| 146 |
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"license_flags": {
|
| 147 |
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"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
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"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
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"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
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"weak_labels": "presence_and_survey_biased"
|
| 151 |
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},
|
| 152 |
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"sampling": {
|
| 153 |
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"sample_type": "label_positive_jitter",
|
| 154 |
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"sampler_version": "stratified-v0.1"
|
| 155 |
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}
|
| 156 |
+
}
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sidecars/korhogo_malaria/korhogo_malaria_s0003_label_positive_jitter_sidecar.json
ADDED
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
|
|
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|
|
|
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|
|
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|
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|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0003_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.538924107170962,
|
| 17 |
+
"lat": 9.275937475513365
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
-5.561705042258098,
|
| 21 |
+
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|
| 22 |
+
-5.516143172083825,
|
| 23 |
+
9.298420515661332
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0003_label_positive_jitter_packet.png",
|
| 33 |
+
"sha256": "1ecdbd29feb01cbae2116f6b28b2c2e5c0ef97219279d12d47c69ecaed24ca32",
|
| 34 |
+
"width": 1024,
|
| 35 |
+
"height": 1024
|
| 36 |
+
},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0003_label_positive_jitter",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0003_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0003_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0003_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0003_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0003_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0003_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
+
"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
+
"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
+
"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
+
"mapbox_available": true,
|
| 84 |
+
"sentinel_cloud_cover_percent": 0,
|
| 85 |
+
"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
+
"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
+
"sampling_strategy": "label_positive_jitter",
|
| 90 |
+
"packet_std": 58.2908,
|
| 91 |
+
"repair_attempts": 0
|
| 92 |
+
},
|
| 93 |
+
"numeric_features": {
|
| 94 |
+
"raster_stats": {
|
| 95 |
+
"rainfall_chirps": {
|
| 96 |
+
"valid_pixels": 262144,
|
| 97 |
+
"min": 0.0,
|
| 98 |
+
"max": 0.0,
|
| 99 |
+
"mean": 0.0,
|
| 100 |
+
"median": 0.0,
|
| 101 |
+
"p90": 0.0
|
| 102 |
+
},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
+
"valid_pixels": 0
|
| 105 |
+
},
|
| 106 |
+
"population_worldpop": {
|
| 107 |
+
"valid_pixels": 262144,
|
| 108 |
+
"min": 0.2558,
|
| 109 |
+
"max": 0.6068,
|
| 110 |
+
"mean": 0.356,
|
| 111 |
+
"median": 0.3428,
|
| 112 |
+
"p90": 0.4393
|
| 113 |
+
},
|
| 114 |
+
"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
+
},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
+
"valid_pixels": 0
|
| 119 |
+
},
|
| 120 |
+
"jrc_gsw_transitions": {
|
| 121 |
+
"valid_pixels": 0
|
| 122 |
+
},
|
| 123 |
+
"jrc_gsw_extent": {
|
| 124 |
+
"valid_pixels": 0
|
| 125 |
+
}
|
| 126 |
+
},
|
| 127 |
+
"osm_counts": {
|
| 128 |
+
"health_facilities": 0,
|
| 129 |
+
"major_roads": 37,
|
| 130 |
+
"schools_waterpoints": 1,
|
| 131 |
+
"urban_landuse": 11,
|
| 132 |
+
"water_surface": 0,
|
| 133 |
+
"waterways": 3
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
+
"vector_label": 3814,
|
| 137 |
+
"disease_label": 0,
|
| 138 |
+
"intermediate_host_label": 0,
|
| 139 |
+
"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0005_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0005_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.621876262978458,
|
| 17 |
+
"lat": 9.294190109773302
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
-5.644658384580761,
|
| 21 |
+
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|
| 22 |
+
-5.599094141376155,
|
| 23 |
+
9.31667314992127
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0005_label_positive_jitter_packet.png",
|
| 33 |
+
"sha256": "31a1a8001399f27365bf61bb4be1c6e6224b75842fe9932ea34806b24a48bbd3",
|
| 34 |
+
"width": 1024,
|
| 35 |
+
"height": 1024
|
| 36 |
+
},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0005_label_positive_jitter",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0005_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0005_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0005_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0005_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0005_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0005_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
+
"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
+
"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
+
"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
+
"mapbox_available": true,
|
| 84 |
+
"sentinel_cloud_cover_percent": 0,
|
| 85 |
+
"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
+
"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
+
"sampling_strategy": "label_positive_jitter",
|
| 90 |
+
"packet_std": 60.034,
|
| 91 |
+
"repair_attempts": 0
|
| 92 |
+
},
|
| 93 |
+
"numeric_features": {
|
| 94 |
+
"raster_stats": {
|
| 95 |
+
"rainfall_chirps": {
|
| 96 |
+
"valid_pixels": 262144,
|
| 97 |
+
"min": 0.0,
|
| 98 |
+
"max": 0.0,
|
| 99 |
+
"mean": 0.0,
|
| 100 |
+
"median": 0.0,
|
| 101 |
+
"p90": 0.0
|
| 102 |
+
},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
+
"valid_pixels": 0
|
| 105 |
+
},
|
| 106 |
+
"population_worldpop": {
|
| 107 |
+
"valid_pixels": 262144,
|
| 108 |
+
"min": 0.2443,
|
| 109 |
+
"max": 2.0105,
|
| 110 |
+
"mean": 0.5452,
|
| 111 |
+
"median": 0.3799,
|
| 112 |
+
"p90": 1.0935
|
| 113 |
+
},
|
| 114 |
+
"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
+
},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
+
"valid_pixels": 0
|
| 119 |
+
},
|
| 120 |
+
"jrc_gsw_transitions": {
|
| 121 |
+
"valid_pixels": 0
|
| 122 |
+
},
|
| 123 |
+
"jrc_gsw_extent": {
|
| 124 |
+
"valid_pixels": 0
|
| 125 |
+
}
|
| 126 |
+
},
|
| 127 |
+
"osm_counts": {
|
| 128 |
+
"health_facilities": 0,
|
| 129 |
+
"major_roads": 43,
|
| 130 |
+
"schools_waterpoints": 0,
|
| 131 |
+
"urban_landuse": 6,
|
| 132 |
+
"water_surface": 0,
|
| 133 |
+
"waterways": 3
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
+
"vector_label": 2451,
|
| 137 |
+
"disease_label": 0,
|
| 138 |
+
"intermediate_host_label": 0,
|
| 139 |
+
"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0008_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0008_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.590435329781511,
|
| 17 |
+
"lat": 9.352335166243824
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
-5.613221247354269,
|
| 21 |
+
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|
| 22 |
+
-5.567649412208753,
|
| 23 |
+
9.374818206391792
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0008_label_positive_jitter_packet.png",
|
| 33 |
+
"sha256": "8abbe7cfb0d133b70eb0bd6f908fb1c99e9b192683dc87db3434604627ebabb5",
|
| 34 |
+
"width": 1024,
|
| 35 |
+
"height": 1024
|
| 36 |
+
},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0008_label_positive_jitter",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0008_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0008_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0008_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0008_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0008_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0008_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
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"evidence_packet_available": true,
|
| 82 |
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"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
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"mapbox_target_visible": true,
|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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"sampling_strategy": "label_positive_jitter",
|
| 90 |
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"packet_std": 58.0053,
|
| 91 |
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"repair_attempts": 0
|
| 92 |
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},
|
| 93 |
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"numeric_features": {
|
| 94 |
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"raster_stats": {
|
| 95 |
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"rainfall_chirps": {
|
| 96 |
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"valid_pixels": 262144,
|
| 97 |
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|
| 98 |
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"max": 0.0,
|
| 99 |
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"mean": 0.0,
|
| 100 |
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"median": 0.0,
|
| 101 |
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"p90": 0.0
|
| 102 |
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},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
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"valid_pixels": 0
|
| 105 |
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},
|
| 106 |
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"population_worldpop": {
|
| 107 |
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"valid_pixels": 262144,
|
| 108 |
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"min": 0.2437,
|
| 109 |
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|
| 110 |
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|
| 111 |
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"median": 0.3211,
|
| 112 |
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"p90": 0.4159
|
| 113 |
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},
|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
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"valid_pixels": 0
|
| 116 |
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},
|
| 117 |
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"jrc_gsw_seasonality": {
|
| 118 |
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"valid_pixels": 0
|
| 119 |
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},
|
| 120 |
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"jrc_gsw_transitions": {
|
| 121 |
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"valid_pixels": 0
|
| 122 |
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},
|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
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"valid_pixels": 0
|
| 125 |
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}
|
| 126 |
+
},
|
| 127 |
+
"osm_counts": {
|
| 128 |
+
"health_facilities": 0,
|
| 129 |
+
"major_roads": 14,
|
| 130 |
+
"schools_waterpoints": 2,
|
| 131 |
+
"urban_landuse": 143,
|
| 132 |
+
"water_surface": 0,
|
| 133 |
+
"waterways": 6
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
+
"vector_label": 3432,
|
| 137 |
+
"disease_label": 0,
|
| 138 |
+
"intermediate_host_label": 0,
|
| 139 |
+
"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0009_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0009_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
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"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
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"chip_size_km": 5.0,
|
| 14 |
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"pixels": 512,
|
| 15 |
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"center": {
|
| 16 |
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"lon": -5.600937549582784,
|
| 17 |
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"lat": 9.367910449467054
|
| 18 |
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},
|
| 19 |
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"bbox": [
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
+
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|
| 24 |
+
],
|
| 25 |
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"panel_order": [
|
| 26 |
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"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
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"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0009_label_positive_jitter_packet.png",
|
| 33 |
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"sha256": "19d2f8bebd7c06f59403c8a7ec6b581b67c043383ce580f8ebb5c9be831c9632",
|
| 34 |
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"width": 1024,
|
| 35 |
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"height": 1024
|
| 36 |
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},
|
| 37 |
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"source_assets": {
|
| 38 |
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"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
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"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0009_label_positive_jitter",
|
| 40 |
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"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0009_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0009_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0009_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0009_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0009_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
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"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0009_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
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"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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},
|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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},
|
| 64 |
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"labels": {
|
| 65 |
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"gbif_vector": [
|
| 66 |
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"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
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"map_disease": [
|
| 69 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
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],
|
| 72 |
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"map_vector": [
|
| 73 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
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}
|
| 76 |
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},
|
| 77 |
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"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
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"simsat_provider_repo": "SimSat"
|
| 79 |
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},
|
| 80 |
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"quality": {
|
| 81 |
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"evidence_packet_available": true,
|
| 82 |
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"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
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"mapbox_target_visible": true,
|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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| 93 |
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| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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"max": 0.0,
|
| 99 |
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"mean": 0.0,
|
| 100 |
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"median": 0.0,
|
| 101 |
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|
| 102 |
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|
| 103 |
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"land_cover_worldcover": {
|
| 104 |
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|
| 105 |
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|
| 106 |
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"population_worldpop": {
|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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"median": 0.3778,
|
| 112 |
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"p90": 0.7083
|
| 113 |
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|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
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|
| 116 |
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|
| 117 |
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"jrc_gsw_seasonality": {
|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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"osm_counts": {
|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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"label_counts": {
|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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},
|
| 142 |
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"label_quality": {
|
| 143 |
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"tier": "weak_label_positive",
|
| 144 |
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"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
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},
|
| 146 |
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"license_flags": {
|
| 147 |
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"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
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|
| 149 |
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"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
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"weak_labels": "presence_and_survey_biased"
|
| 151 |
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},
|
| 152 |
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"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0010_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0010_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
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| 11 |
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| 12 |
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| 28 |
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| 29 |
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|
| 30 |
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| 31 |
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|
| 32 |
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| 39 |
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|
| 42 |
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|
| 43 |
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| 55 |
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| 58 |
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| 60 |
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|
| 61 |
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| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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| 83 |
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| 87 |
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| 88 |
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| 89 |
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| 102 |
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| 112 |
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|
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|
| 121 |
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|
| 122 |
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|
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|
| 133 |
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| 134 |
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| 135 |
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|
| 137 |
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|
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|
| 139 |
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|
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|
| 141 |
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| 142 |
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"label_quality": {
|
| 143 |
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"tier": "weak_label_positive",
|
| 144 |
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"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
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},
|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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"sample_type": "label_positive_jitter",
|
| 154 |
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"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0011_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
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"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0011_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
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"country": "Cote d'Ivoire",
|
| 11 |
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"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
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"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
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|
| 14 |
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"pixels": 512,
|
| 15 |
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"center": {
|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
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|
| 22 |
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|
| 23 |
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|
| 24 |
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],
|
| 25 |
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"panel_order": [
|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0011_label_positive_jitter_packet.png",
|
| 33 |
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"sha256": "9daf0735cb8d09d3dfe414071b824074d9fd83acd49e8b59e6ece78923b211ea",
|
| 34 |
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|
| 35 |
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|
| 36 |
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},
|
| 37 |
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"source_assets": {
|
| 38 |
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"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
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"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0011_label_positive_jitter",
|
| 40 |
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"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0011_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
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"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0011_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
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"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0011_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0011_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
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"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0011_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
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"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0011_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
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"source_layers": {
|
| 47 |
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|
| 48 |
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"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
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"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
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"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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},
|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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},
|
| 64 |
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"labels": {
|
| 65 |
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"gbif_vector": [
|
| 66 |
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|
| 67 |
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],
|
| 68 |
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"map_disease": [
|
| 69 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
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],
|
| 72 |
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"map_vector": [
|
| 73 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
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]
|
| 75 |
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}
|
| 76 |
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},
|
| 77 |
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"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
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"simsat_provider_repo": "SimSat"
|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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| 93 |
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| 94 |
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| 95 |
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|
| 96 |
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| 97 |
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| 98 |
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| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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| 104 |
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|
| 105 |
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| 106 |
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"population_worldpop": {
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| 107 |
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|
| 108 |
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|
| 109 |
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| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
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|
| 116 |
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|
| 117 |
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"jrc_gsw_seasonality": {
|
| 118 |
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|
| 119 |
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|
| 120 |
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"jrc_gsw_transitions": {
|
| 121 |
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|
| 122 |
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|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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"osm_counts": {
|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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"label_counts": {
|
| 136 |
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"vector_label": 859,
|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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"label_quality": {
|
| 143 |
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"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
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|
| 149 |
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"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
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"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0017_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
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"chip_id": "korhogo_malaria_s0017_label_positive_jitter",
|
| 6 |
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"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
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"primary_disease": "malaria",
|
| 10 |
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"country": "Cote d'Ivoire",
|
| 11 |
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"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
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"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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],
|
| 25 |
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"panel_order": [
|
| 26 |
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|
| 27 |
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"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
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"path": "image_packets/korhogo_malaria/korhogo_malaria_s0017_label_positive_jitter_packet.png",
|
| 33 |
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"sha256": "e192216dbff15a0268625e9040cb8e974aaa3ac9e9199b3758a5eded824c1b9f",
|
| 34 |
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|
| 35 |
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|
| 36 |
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},
|
| 37 |
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"source_assets": {
|
| 38 |
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"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
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"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0017_label_positive_jitter",
|
| 40 |
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|
| 41 |
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"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0017_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0017_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0017_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0017_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
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"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0017_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
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"source_layers": {
|
| 47 |
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"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
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|
| 49 |
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"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
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"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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},
|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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},
|
| 64 |
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"labels": {
|
| 65 |
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"gbif_vector": [
|
| 66 |
+
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|
| 67 |
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],
|
| 68 |
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"map_disease": [
|
| 69 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
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],
|
| 72 |
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"map_vector": [
|
| 73 |
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|
| 74 |
+
]
|
| 75 |
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}
|
| 76 |
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},
|
| 77 |
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"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
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"simsat_provider_repo": "SimSat"
|
| 79 |
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},
|
| 80 |
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"quality": {
|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
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|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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|
| 90 |
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|
| 91 |
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| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 97 |
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| 98 |
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| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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"label_quality": {
|
| 143 |
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"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
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},
|
| 146 |
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|
| 147 |
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"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
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|
| 149 |
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"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
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"weak_labels": "presence_and_survey_biased"
|
| 151 |
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},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0020_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
|
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|
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|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0020_label_positive_jitter",
|
| 6 |
+
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|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
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"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
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|
| 14 |
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"pixels": 512,
|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
+
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|
| 21 |
+
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|
| 22 |
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|
| 23 |
+
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|
| 24 |
+
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|
| 25 |
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"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0020_label_positive_jitter_packet.png",
|
| 33 |
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"sha256": "06701d596d86b2fa987408a93472f2f82d3dbbcba1b6f5f0bc22db1236bf168e",
|
| 34 |
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"width": 1024,
|
| 35 |
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"height": 1024
|
| 36 |
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},
|
| 37 |
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"source_assets": {
|
| 38 |
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"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0020_label_positive_jitter",
|
| 40 |
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|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0020_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0020_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0020_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
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"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0020_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
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"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0020_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
+
"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
+
"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
+
"sampling_strategy": "label_positive_jitter",
|
| 90 |
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"packet_std": 59.7881,
|
| 91 |
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|
| 92 |
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},
|
| 93 |
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"numeric_features": {
|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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"min": 0.0,
|
| 98 |
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"max": 0.0,
|
| 99 |
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"mean": 0.0,
|
| 100 |
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"median": 0.0,
|
| 101 |
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"p90": 0.0
|
| 102 |
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},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
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"valid_pixels": 0
|
| 105 |
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},
|
| 106 |
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"population_worldpop": {
|
| 107 |
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|
| 108 |
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"min": 0.1461,
|
| 109 |
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|
| 110 |
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|
| 111 |
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"median": 0.2306,
|
| 112 |
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"p90": 0.341
|
| 113 |
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},
|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
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|
| 116 |
+
},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
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|
| 119 |
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},
|
| 120 |
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"jrc_gsw_transitions": {
|
| 121 |
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"valid_pixels": 0
|
| 122 |
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},
|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
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|
| 125 |
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}
|
| 126 |
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},
|
| 127 |
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"osm_counts": {
|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
+
},
|
| 135 |
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"label_counts": {
|
| 136 |
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"vector_label": 2050,
|
| 137 |
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"disease_label": 0,
|
| 138 |
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"intermediate_host_label": 0,
|
| 139 |
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"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
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"license_flags": {
|
| 147 |
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"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
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"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
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"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
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"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0021_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0021_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.617906076455626,
|
| 17 |
+
"lat": 9.257739354403034
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
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|
| 21 |
+
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|
| 22 |
+
-5.5951263219156315,
|
| 23 |
+
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|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
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"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0021_label_positive_jitter_packet.png",
|
| 33 |
+
"sha256": "fe6f2b511dced88458dd7b155936d36a89dca7a0a94413d46d78435dfce7502e",
|
| 34 |
+
"width": 1024,
|
| 35 |
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"height": 1024
|
| 36 |
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},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0021_label_positive_jitter",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0021_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0021_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0021_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0021_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0021_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0021_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
+
"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
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"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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"sampling_strategy": "label_positive_jitter",
|
| 90 |
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"packet_std": 60.8335,
|
| 91 |
+
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|
| 92 |
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|
| 93 |
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| 94 |
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|
| 95 |
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"rainfall_chirps": {
|
| 96 |
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"valid_pixels": 262144,
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| 97 |
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| 98 |
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|
| 99 |
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|
| 100 |
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"median": 0.0,
|
| 101 |
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"p90": 0.0
|
| 102 |
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},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
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"valid_pixels": 0
|
| 105 |
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},
|
| 106 |
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"population_worldpop": {
|
| 107 |
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"valid_pixels": 178688,
|
| 108 |
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"min": 0.216,
|
| 109 |
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"max": 2.4602,
|
| 110 |
+
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|
| 111 |
+
"median": 0.3557,
|
| 112 |
+
"p90": 0.5214
|
| 113 |
+
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|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
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},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
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"valid_pixels": 0
|
| 119 |
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|
| 120 |
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"jrc_gsw_transitions": {
|
| 121 |
+
"valid_pixels": 0
|
| 122 |
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|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
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"valid_pixels": 0
|
| 125 |
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}
|
| 126 |
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},
|
| 127 |
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"osm_counts": {
|
| 128 |
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|
| 129 |
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"major_roads": 48,
|
| 130 |
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"schools_waterpoints": 0,
|
| 131 |
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"urban_landuse": 10,
|
| 132 |
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"water_surface": 0,
|
| 133 |
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"waterways": 2
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
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"vector_label": 4947,
|
| 137 |
+
"disease_label": 1,
|
| 138 |
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"intermediate_host_label": 0,
|
| 139 |
+
"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0026_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
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|
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|
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|
|
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|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0026_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
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"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
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|
| 14 |
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"pixels": 512,
|
| 15 |
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"center": {
|
| 16 |
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"lon": -5.605192710921088,
|
| 17 |
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|
| 18 |
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},
|
| 19 |
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"bbox": [
|
| 20 |
+
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|
| 21 |
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|
| 22 |
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|
| 23 |
+
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|
| 24 |
+
],
|
| 25 |
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"panel_order": [
|
| 26 |
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"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0026_label_positive_jitter_packet.png",
|
| 33 |
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"sha256": "39d3268edf42b199a20d9fc7eaab45c8d3d89dcf055aa37ba16a651b3411eca9",
|
| 34 |
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"width": 1024,
|
| 35 |
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"height": 1024
|
| 36 |
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},
|
| 37 |
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"source_assets": {
|
| 38 |
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"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
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"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0026_label_positive_jitter",
|
| 40 |
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|
| 41 |
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"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0026_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0026_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0026_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0026_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
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"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0026_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
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"source_layers": {
|
| 47 |
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"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
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"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
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"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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},
|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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},
|
| 64 |
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"labels": {
|
| 65 |
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"gbif_vector": [
|
| 66 |
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|
| 67 |
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],
|
| 68 |
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"map_disease": [
|
| 69 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
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],
|
| 72 |
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"map_vector": [
|
| 73 |
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|
| 74 |
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]
|
| 75 |
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}
|
| 76 |
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},
|
| 77 |
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"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
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"simsat_provider_repo": "SimSat"
|
| 79 |
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},
|
| 80 |
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"quality": {
|
| 81 |
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"evidence_packet_available": true,
|
| 82 |
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"sentinel_available": true,
|
| 83 |
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|
| 84 |
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|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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|
| 87 |
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|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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|
| 90 |
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|
| 91 |
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| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 97 |
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| 98 |
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| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
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|
| 111 |
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|
| 112 |
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|
| 113 |
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| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
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|
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|
| 124 |
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|
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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"tier": "weak_label_positive",
|
| 144 |
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"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
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},
|
| 146 |
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|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0027_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0027_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
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"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
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"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
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|
| 14 |
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"pixels": 512,
|
| 15 |
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"center": {
|
| 16 |
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"lon": -5.616257507628017,
|
| 17 |
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"lat": 9.253194530574909
|
| 18 |
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},
|
| 19 |
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"bbox": [
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
+
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|
| 24 |
+
],
|
| 25 |
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"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0027_label_positive_jitter_packet.png",
|
| 33 |
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"sha256": "0a3ce8311d1f2ef7def12330151710a905bfa473f6779d2cf00400ae72629619",
|
| 34 |
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"width": 1024,
|
| 35 |
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"height": 1024
|
| 36 |
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},
|
| 37 |
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"source_assets": {
|
| 38 |
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"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0027_label_positive_jitter",
|
| 40 |
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"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0027_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0027_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0027_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0027_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
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"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0027_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
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"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0027_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
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"source_layers": {
|
| 47 |
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"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
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"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
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"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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},
|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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},
|
| 64 |
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"labels": {
|
| 65 |
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"gbif_vector": [
|
| 66 |
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|
| 67 |
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],
|
| 68 |
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"map_disease": [
|
| 69 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
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],
|
| 72 |
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"map_vector": [
|
| 73 |
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|
| 74 |
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]
|
| 75 |
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}
|
| 76 |
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},
|
| 77 |
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"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
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"simsat_provider_repo": "SimSat"
|
| 79 |
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},
|
| 80 |
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"quality": {
|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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|
| 87 |
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|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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|
| 90 |
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|
| 91 |
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| 92 |
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| 93 |
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| 96 |
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| 100 |
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| 101 |
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| 102 |
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| 103 |
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|
| 104 |
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| 105 |
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| 106 |
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|
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| 108 |
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|
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| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
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|
| 128 |
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| 129 |
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|
| 130 |
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| 131 |
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| 132 |
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|
| 133 |
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| 134 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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"tier": "weak_label_positive",
|
| 144 |
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"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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"sampling": {
|
| 153 |
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"sample_type": "label_positive_jitter",
|
| 154 |
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"sampler_version": "stratified-v0.1"
|
| 155 |
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}
|
| 156 |
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}
|
sidecars/korhogo_malaria/korhogo_malaria_s0033_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
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"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
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"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
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"chip_id": "korhogo_malaria_s0033_label_positive_jitter",
|
| 6 |
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"aoi_id": "korhogo_malaria",
|
| 7 |
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"split": "test",
|
| 8 |
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"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
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"primary_disease": "malaria",
|
| 10 |
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"country": "Cote d'Ivoire",
|
| 11 |
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"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
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"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
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|
| 14 |
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"pixels": 512,
|
| 15 |
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"center": {
|
| 16 |
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"lon": -5.559616634994783,
|
| 17 |
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"lat": 9.297726946214436
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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],
|
| 25 |
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"panel_order": [
|
| 26 |
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"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
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"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
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"bottom_left: Mapbox satellite context",
|
| 29 |
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"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
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],
|
| 31 |
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| 32 |
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|
| 33 |
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| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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| 45 |
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| 46 |
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|
| 50 |
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| 51 |
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|
| 55 |
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| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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| 82 |
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| 87 |
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| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 106 |
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| 108 |
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| 109 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 115 |
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|
| 116 |
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| 117 |
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"jrc_gsw_seasonality": {
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| 118 |
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|
| 119 |
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| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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| 124 |
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|
| 125 |
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|
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|
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| 131 |
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| 132 |
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|
| 133 |
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|
| 134 |
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| 135 |
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| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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"tier": "weak_label_positive",
|
| 144 |
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"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
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},
|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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"sampling": {
|
| 153 |
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"sample_type": "label_positive_jitter",
|
| 154 |
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"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0034_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
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|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
|
|
|
|
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|
|
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|
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|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
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|
| 4 |
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|
| 5 |
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"chip_id": "korhogo_malaria_s0034_label_positive_jitter",
|
| 6 |
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"aoi_id": "korhogo_malaria",
|
| 7 |
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"split": "test",
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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|
| 17 |
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|
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| 19 |
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|
| 20 |
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|
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|
| 23 |
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|
| 24 |
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],
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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"bottom_left: Mapbox satellite context",
|
| 29 |
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"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
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],
|
| 31 |
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"image_packet": {
|
| 32 |
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"path": "image_packets/korhogo_malaria/korhogo_malaria_s0034_label_positive_jitter_packet.png",
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| 33 |
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| 37 |
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| 38 |
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| 39 |
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|
| 40 |
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|
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|
| 42 |
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"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0034_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
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"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0034_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
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|
| 45 |
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|
| 46 |
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| 50 |
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| 55 |
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| 58 |
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| 59 |
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| 60 |
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|
| 61 |
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|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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|
| 64 |
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"labels": {
|
| 65 |
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|
| 66 |
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|
| 67 |
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],
|
| 68 |
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"map_disease": [
|
| 69 |
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|
| 70 |
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|
| 71 |
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],
|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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},
|
| 77 |
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"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
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|
| 79 |
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|
| 80 |
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| 81 |
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|
| 88 |
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|
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| 98 |
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| 99 |
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| 100 |
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| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 106 |
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| 107 |
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| 108 |
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|
| 109 |
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| 110 |
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|
| 111 |
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"median": 0.2667,
|
| 112 |
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|
| 113 |
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| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
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|
| 116 |
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|
| 117 |
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"jrc_gsw_seasonality": {
|
| 118 |
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|
| 119 |
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|
| 120 |
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"jrc_gsw_transitions": {
|
| 121 |
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"valid_pixels": 0
|
| 122 |
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|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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"osm_counts": {
|
| 128 |
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|
| 129 |
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"major_roads": 5,
|
| 130 |
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"schools_waterpoints": 1,
|
| 131 |
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|
| 132 |
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|
| 133 |
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"waterways": 1
|
| 134 |
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|
| 135 |
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"label_counts": {
|
| 136 |
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"vector_label": 1119,
|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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},
|
| 142 |
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"label_quality": {
|
| 143 |
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"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
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"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
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|
| 149 |
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"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
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"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
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|
| 154 |
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"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0035_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
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|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
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|
|
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|
|
|
|
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|
|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
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|
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|
|
|
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|
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|
|
|
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|
|
|
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|
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|
|
|
|
|
|
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|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
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"chip_id": "korhogo_malaria_s0035_label_positive_jitter",
|
| 6 |
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|
| 7 |
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"split": "test",
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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|
| 22 |
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|
| 23 |
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| 24 |
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],
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| 25 |
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|
| 26 |
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"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
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|
| 28 |
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"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
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],
|
| 31 |
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"image_packet": {
|
| 32 |
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"path": "image_packets/korhogo_malaria/korhogo_malaria_s0035_label_positive_jitter_packet.png",
|
| 33 |
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"sha256": "8b92d4680eede432dab47687feff0fe81aa394aace3a1b7bf36768ecce126605",
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| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0035_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0035_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
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"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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|
| 53 |
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|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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},
|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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},
|
| 64 |
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"labels": {
|
| 65 |
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"gbif_vector": [
|
| 66 |
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|
| 67 |
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],
|
| 68 |
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"map_disease": [
|
| 69 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
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],
|
| 72 |
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"map_vector": [
|
| 73 |
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|
| 74 |
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]
|
| 75 |
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}
|
| 76 |
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},
|
| 77 |
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"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
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"simsat_provider_repo": "SimSat"
|
| 79 |
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},
|
| 80 |
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"quality": {
|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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|
| 87 |
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|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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|
| 90 |
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| 91 |
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| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 97 |
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| 98 |
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| 99 |
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| 100 |
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| 101 |
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|
| 102 |
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| 103 |
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|
| 104 |
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| 105 |
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| 106 |
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| 107 |
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| 108 |
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|
| 109 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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| 119 |
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| 120 |
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|
| 121 |
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|
| 122 |
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| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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"tier": "weak_label_positive",
|
| 144 |
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"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
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"weak_labels": "presence_and_survey_biased"
|
| 151 |
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},
|
| 152 |
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"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
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"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0038_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
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"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
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"chip_id": "korhogo_malaria_s0038_label_positive_jitter",
|
| 6 |
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|
| 7 |
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"split": "test",
|
| 8 |
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"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
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"primary_disease": "malaria",
|
| 10 |
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"country": "Cote d'Ivoire",
|
| 11 |
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"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
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"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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|
| 17 |
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|
| 18 |
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| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
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"path": "image_packets/korhogo_malaria/korhogo_malaria_s0038_label_positive_jitter_packet.png",
|
| 33 |
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"sha256": "3e13f96ed887b75d18ab0214bbc859ea0faf46f7cc2fca95b212035e5f61cb12",
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| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0038_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0038_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0038_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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},
|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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},
|
| 64 |
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"labels": {
|
| 65 |
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"gbif_vector": [
|
| 66 |
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"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
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"map_vector": [
|
| 73 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
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},
|
| 77 |
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"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
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"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
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"quality": {
|
| 81 |
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"evidence_packet_available": true,
|
| 82 |
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"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
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"mapbox_target_visible": true,
|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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"sampling_strategy": "label_positive_jitter",
|
| 90 |
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"packet_std": 58.6541,
|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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"p90": 0.0
|
| 102 |
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},
|
| 103 |
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"land_cover_worldcover": {
|
| 104 |
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|
| 105 |
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},
|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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"median": 0.3457,
|
| 112 |
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|
| 113 |
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|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
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|
| 116 |
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},
|
| 117 |
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"jrc_gsw_seasonality": {
|
| 118 |
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|
| 119 |
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},
|
| 120 |
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"jrc_gsw_transitions": {
|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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},
|
| 135 |
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"label_counts": {
|
| 136 |
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"vector_label": 4947,
|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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}
|
| 141 |
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},
|
| 142 |
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"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
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},
|
| 146 |
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"license_flags": {
|
| 147 |
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"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
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|
| 149 |
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"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
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"weak_labels": "presence_and_survey_biased"
|
| 151 |
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},
|
| 152 |
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"sampling": {
|
| 153 |
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"sample_type": "label_positive_jitter",
|
| 154 |
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"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0040_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0040_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.5011659115775835,
|
| 17 |
+
"lat": 9.43954070355638
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
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|
| 21 |
+
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|
| 22 |
+
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|
| 23 |
+
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|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
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"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
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|
| 28 |
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"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0040_label_positive_jitter_packet.png",
|
| 33 |
+
"sha256": "0c4bf770296f6638b02ff930a1313ecfdcc10835801aed371ab42f85d19ccc1c",
|
| 34 |
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"width": 1024,
|
| 35 |
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"height": 1024
|
| 36 |
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},
|
| 37 |
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"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0040_label_positive_jitter",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0040_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0040_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0040_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0040_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0040_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
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"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0040_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
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"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
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"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
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"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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},
|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
+
"sampling_strategy": "label_positive_jitter",
|
| 90 |
+
"packet_std": 55.9083,
|
| 91 |
+
"repair_attempts": 0
|
| 92 |
+
},
|
| 93 |
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"numeric_features": {
|
| 94 |
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"raster_stats": {
|
| 95 |
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"rainfall_chirps": {
|
| 96 |
+
"valid_pixels": 262144,
|
| 97 |
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"min": 0.0,
|
| 98 |
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"max": 0.0,
|
| 99 |
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"mean": 0.0,
|
| 100 |
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"median": 0.0,
|
| 101 |
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"p90": 0.0
|
| 102 |
+
},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
+
"valid_pixels": 0
|
| 105 |
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},
|
| 106 |
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"population_worldpop": {
|
| 107 |
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"valid_pixels": 262144,
|
| 108 |
+
"min": 0.2074,
|
| 109 |
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"max": 0.9861,
|
| 110 |
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"mean": 0.4966,
|
| 111 |
+
"median": 0.5369,
|
| 112 |
+
"p90": 0.7353
|
| 113 |
+
},
|
| 114 |
+
"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
+
},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
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"valid_pixels": 0
|
| 119 |
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},
|
| 120 |
+
"jrc_gsw_transitions": {
|
| 121 |
+
"valid_pixels": 0
|
| 122 |
+
},
|
| 123 |
+
"jrc_gsw_extent": {
|
| 124 |
+
"valid_pixels": 0
|
| 125 |
+
}
|
| 126 |
+
},
|
| 127 |
+
"osm_counts": {
|
| 128 |
+
"health_facilities": 0,
|
| 129 |
+
"major_roads": 15,
|
| 130 |
+
"schools_waterpoints": 0,
|
| 131 |
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"urban_landuse": 11,
|
| 132 |
+
"water_surface": 0,
|
| 133 |
+
"waterways": 0
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
+
"vector_label": 2832,
|
| 137 |
+
"disease_label": 0,
|
| 138 |
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"intermediate_host_label": 0,
|
| 139 |
+
"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0041_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0041_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.587076109886568,
|
| 17 |
+
"lat": 9.354722322307376
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
-5.609862183832148,
|
| 21 |
+
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|
| 22 |
+
-5.564290035940988,
|
| 23 |
+
9.377205362455344
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0041_label_positive_jitter_packet.png",
|
| 33 |
+
"sha256": "95700a9f6c37aa0daf39bf0bf05719e7e6ea4c0c59d4ea35bf085445e75a57b4",
|
| 34 |
+
"width": 1024,
|
| 35 |
+
"height": 1024
|
| 36 |
+
},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0041_label_positive_jitter",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0041_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0041_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0041_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0041_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0041_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0041_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
+
"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
+
"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
+
"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
+
"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
+
"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
+
"sampling_strategy": "label_positive_jitter",
|
| 90 |
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"packet_std": 57.7078,
|
| 91 |
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"repair_attempts": 0
|
| 92 |
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},
|
| 93 |
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"numeric_features": {
|
| 94 |
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"raster_stats": {
|
| 95 |
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"rainfall_chirps": {
|
| 96 |
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"valid_pixels": 262144,
|
| 97 |
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"min": 0.0,
|
| 98 |
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"max": 0.0,
|
| 99 |
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|
| 100 |
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"median": 0.0,
|
| 101 |
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"p90": 0.0
|
| 102 |
+
},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
+
"valid_pixels": 0
|
| 105 |
+
},
|
| 106 |
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"population_worldpop": {
|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
+
"median": 0.3198,
|
| 112 |
+
"p90": 0.3938
|
| 113 |
+
},
|
| 114 |
+
"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
+
},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
+
"valid_pixels": 0
|
| 119 |
+
},
|
| 120 |
+
"jrc_gsw_transitions": {
|
| 121 |
+
"valid_pixels": 0
|
| 122 |
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},
|
| 123 |
+
"jrc_gsw_extent": {
|
| 124 |
+
"valid_pixels": 0
|
| 125 |
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}
|
| 126 |
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},
|
| 127 |
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"osm_counts": {
|
| 128 |
+
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|
| 129 |
+
"major_roads": 14,
|
| 130 |
+
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|
| 131 |
+
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|
| 132 |
+
"water_surface": 0,
|
| 133 |
+
"waterways": 7
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
+
"vector_label": 3432,
|
| 137 |
+
"disease_label": 0,
|
| 138 |
+
"intermediate_host_label": 0,
|
| 139 |
+
"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0046_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
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|
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|
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|
|
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|
|
|
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|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0046_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.489516380445847,
|
| 17 |
+
"lat": 9.501496474656795
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
-5.512312149123968,
|
| 21 |
+
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|
| 22 |
+
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|
| 23 |
+
9.523979514804763
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0046_label_positive_jitter_packet.png",
|
| 33 |
+
"sha256": "d03c1b8a984b782f9e12b01fc182968c332b525ae1e040df81aa6f09b6292088",
|
| 34 |
+
"width": 1024,
|
| 35 |
+
"height": 1024
|
| 36 |
+
},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0046_label_positive_jitter",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0046_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0046_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0046_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0046_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0046_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0046_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
+
"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
+
"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
+
"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
+
"mapbox_available": true,
|
| 84 |
+
"sentinel_cloud_cover_percent": 0,
|
| 85 |
+
"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
+
"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
+
"sampling_strategy": "label_positive_jitter",
|
| 90 |
+
"packet_std": 58.5696,
|
| 91 |
+
"repair_attempts": 0
|
| 92 |
+
},
|
| 93 |
+
"numeric_features": {
|
| 94 |
+
"raster_stats": {
|
| 95 |
+
"rainfall_chirps": {
|
| 96 |
+
"valid_pixels": 262144,
|
| 97 |
+
"min": 0.0,
|
| 98 |
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"max": 0.0,
|
| 99 |
+
"mean": 0.0,
|
| 100 |
+
"median": 0.0,
|
| 101 |
+
"p90": 0.0
|
| 102 |
+
},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
+
"valid_pixels": 0
|
| 105 |
+
},
|
| 106 |
+
"population_worldpop": {
|
| 107 |
+
"valid_pixels": 261422,
|
| 108 |
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"min": 0.1321,
|
| 109 |
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"max": 1.488,
|
| 110 |
+
"mean": 0.7933,
|
| 111 |
+
"median": 0.8813,
|
| 112 |
+
"p90": 1.1372
|
| 113 |
+
},
|
| 114 |
+
"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
+
},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
+
"valid_pixels": 0
|
| 119 |
+
},
|
| 120 |
+
"jrc_gsw_transitions": {
|
| 121 |
+
"valid_pixels": 0
|
| 122 |
+
},
|
| 123 |
+
"jrc_gsw_extent": {
|
| 124 |
+
"valid_pixels": 0
|
| 125 |
+
}
|
| 126 |
+
},
|
| 127 |
+
"osm_counts": {
|
| 128 |
+
"health_facilities": 0,
|
| 129 |
+
"major_roads": 82,
|
| 130 |
+
"schools_waterpoints": 4,
|
| 131 |
+
"urban_landuse": 119,
|
| 132 |
+
"water_surface": 1,
|
| 133 |
+
"waterways": 7
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
+
"vector_label": 1740,
|
| 137 |
+
"disease_label": 0,
|
| 138 |
+
"intermediate_host_label": 0,
|
| 139 |
+
"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0047_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0047_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.578419888569848,
|
| 17 |
+
"lat": 9.273539525371453
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
-5.601200667958882,
|
| 21 |
+
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|
| 22 |
+
-5.555639109180814,
|
| 23 |
+
9.29602256551942
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0047_label_positive_jitter_packet.png",
|
| 33 |
+
"sha256": "6b2845696289042a6be09e4996d6e225da23f4a3019493ddc594e7b877fd85e5",
|
| 34 |
+
"width": 1024,
|
| 35 |
+
"height": 1024
|
| 36 |
+
},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0047_label_positive_jitter",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0047_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0047_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0047_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0047_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0047_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0047_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
+
"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
+
"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
+
"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
+
"mapbox_available": true,
|
| 84 |
+
"sentinel_cloud_cover_percent": 0,
|
| 85 |
+
"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
+
"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
+
"sampling_strategy": "label_positive_jitter",
|
| 90 |
+
"packet_std": 60.0622,
|
| 91 |
+
"repair_attempts": 0
|
| 92 |
+
},
|
| 93 |
+
"numeric_features": {
|
| 94 |
+
"raster_stats": {
|
| 95 |
+
"rainfall_chirps": {
|
| 96 |
+
"valid_pixels": 262144,
|
| 97 |
+
"min": 0.0,
|
| 98 |
+
"max": 0.0,
|
| 99 |
+
"mean": 0.0,
|
| 100 |
+
"median": 0.0,
|
| 101 |
+
"p90": 0.0
|
| 102 |
+
},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
+
"valid_pixels": 0
|
| 105 |
+
},
|
| 106 |
+
"population_worldpop": {
|
| 107 |
+
"valid_pixels": 260971,
|
| 108 |
+
"min": 0.2621,
|
| 109 |
+
"max": 4.7841,
|
| 110 |
+
"mean": 1.2228,
|
| 111 |
+
"median": 0.5714,
|
| 112 |
+
"p90": 2.8226
|
| 113 |
+
},
|
| 114 |
+
"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
+
},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
+
"valid_pixels": 0
|
| 119 |
+
},
|
| 120 |
+
"jrc_gsw_transitions": {
|
| 121 |
+
"valid_pixels": 0
|
| 122 |
+
},
|
| 123 |
+
"jrc_gsw_extent": {
|
| 124 |
+
"valid_pixels": 0
|
| 125 |
+
}
|
| 126 |
+
},
|
| 127 |
+
"osm_counts": {
|
| 128 |
+
"health_facilities": 0,
|
| 129 |
+
"major_roads": 118,
|
| 130 |
+
"schools_waterpoints": 0,
|
| 131 |
+
"urban_landuse": 29,
|
| 132 |
+
"water_surface": 1,
|
| 133 |
+
"waterways": 3
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
+
"vector_label": 2783,
|
| 137 |
+
"disease_label": 0,
|
| 138 |
+
"intermediate_host_label": 0,
|
| 139 |
+
"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0052_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
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|
|
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|
|
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|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0052_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.583483874215815,
|
| 17 |
+
"lat": 9.348158643826707
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
-5.606269518301982,
|
| 21 |
+
9.32567560367874,
|
| 22 |
+
-5.560698230129647,
|
| 23 |
+
9.370641683974675
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0052_label_positive_jitter_packet.png",
|
| 33 |
+
"sha256": "1e24aa6731920b52ef2748280e30db6f4af1fc5699b9454ebc6adbc229b4e4a8",
|
| 34 |
+
"width": 1024,
|
| 35 |
+
"height": 1024
|
| 36 |
+
},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0052_label_positive_jitter",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0052_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0052_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0052_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0052_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0052_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0052_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
+
"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
+
"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
+
"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
+
"sampling_strategy": "label_positive_jitter",
|
| 90 |
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"packet_std": 59.1507,
|
| 91 |
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"repair_attempts": 0
|
| 92 |
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},
|
| 93 |
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"numeric_features": {
|
| 94 |
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"raster_stats": {
|
| 95 |
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"rainfall_chirps": {
|
| 96 |
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"valid_pixels": 262144,
|
| 97 |
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"min": 0.0,
|
| 98 |
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"max": 0.0,
|
| 99 |
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"mean": 0.0,
|
| 100 |
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"median": 0.0,
|
| 101 |
+
"p90": 0.0
|
| 102 |
+
},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
+
"valid_pixels": 0
|
| 105 |
+
},
|
| 106 |
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"population_worldpop": {
|
| 107 |
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"valid_pixels": 262144,
|
| 108 |
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"min": 0.2512,
|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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"p90": 0.4006
|
| 113 |
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},
|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
+
},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
+
"valid_pixels": 0
|
| 119 |
+
},
|
| 120 |
+
"jrc_gsw_transitions": {
|
| 121 |
+
"valid_pixels": 0
|
| 122 |
+
},
|
| 123 |
+
"jrc_gsw_extent": {
|
| 124 |
+
"valid_pixels": 0
|
| 125 |
+
}
|
| 126 |
+
},
|
| 127 |
+
"osm_counts": {
|
| 128 |
+
"health_facilities": 0,
|
| 129 |
+
"major_roads": 7,
|
| 130 |
+
"schools_waterpoints": 0,
|
| 131 |
+
"urban_landuse": 33,
|
| 132 |
+
"water_surface": 0,
|
| 133 |
+
"waterways": 6
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
+
"vector_label": 4287,
|
| 137 |
+
"disease_label": 0,
|
| 138 |
+
"intermediate_host_label": 0,
|
| 139 |
+
"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0054_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0054_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
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"chip_size_km": 5.0,
|
| 14 |
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"pixels": 512,
|
| 15 |
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"center": {
|
| 16 |
+
"lon": -5.613091572877015,
|
| 17 |
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"lat": 9.325613646898184
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
-5.63587574287798,
|
| 21 |
+
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|
| 22 |
+
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|
| 23 |
+
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|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0054_label_positive_jitter_packet.png",
|
| 33 |
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"sha256": "5893b7770a60b8d24576a08ff6b197f57feac1d0009bedac5e109d1fbda6d7f6",
|
| 34 |
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"width": 1024,
|
| 35 |
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"height": 1024
|
| 36 |
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},
|
| 37 |
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"source_assets": {
|
| 38 |
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"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0054_label_positive_jitter",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0054_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0054_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0054_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0054_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0054_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
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"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0054_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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},
|
| 64 |
+
"labels": {
|
| 65 |
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"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
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],
|
| 72 |
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"map_vector": [
|
| 73 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
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},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
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"simsat_provider_repo": "SimSat"
|
| 79 |
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},
|
| 80 |
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"quality": {
|
| 81 |
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"evidence_packet_available": true,
|
| 82 |
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"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
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"mapbox_target_visible": true,
|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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"sampling_strategy": "label_positive_jitter",
|
| 90 |
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"packet_std": 59.3327,
|
| 91 |
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|
| 92 |
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|
| 93 |
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"numeric_features": {
|
| 94 |
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|
| 95 |
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"rainfall_chirps": {
|
| 96 |
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"valid_pixels": 262144,
|
| 97 |
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"min": 0.0,
|
| 98 |
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"max": 0.0,
|
| 99 |
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"mean": 0.0,
|
| 100 |
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"median": 0.0,
|
| 101 |
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"p90": 0.0
|
| 102 |
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},
|
| 103 |
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"land_cover_worldcover": {
|
| 104 |
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"valid_pixels": 0
|
| 105 |
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},
|
| 106 |
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"population_worldpop": {
|
| 107 |
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"valid_pixels": 262144,
|
| 108 |
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"min": 0.2819,
|
| 109 |
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"max": 1.5428,
|
| 110 |
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|
| 111 |
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"median": 0.429,
|
| 112 |
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"p90": 1.0146
|
| 113 |
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},
|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
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"valid_pixels": 0
|
| 116 |
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},
|
| 117 |
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"jrc_gsw_seasonality": {
|
| 118 |
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|
| 119 |
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|
| 120 |
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"jrc_gsw_transitions": {
|
| 121 |
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|
| 122 |
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|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
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|
| 125 |
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}
|
| 126 |
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},
|
| 127 |
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"osm_counts": {
|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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"waterways": 4
|
| 134 |
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},
|
| 135 |
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"label_counts": {
|
| 136 |
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"vector_label": 3690,
|
| 137 |
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|
| 138 |
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|
| 139 |
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"disease_aggregate": 0
|
| 140 |
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}
|
| 141 |
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},
|
| 142 |
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"label_quality": {
|
| 143 |
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"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
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},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
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"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
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"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0055_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
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|
| 5 |
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| 6 |
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|
| 7 |
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| 8 |
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| 9 |
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|
| 10 |
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|
| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 19 |
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| 20 |
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| 25 |
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| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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],
|
| 31 |
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"image_packet": {
|
| 32 |
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"path": "image_packets/korhogo_malaria/korhogo_malaria_s0055_label_positive_jitter_packet.png",
|
| 33 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0055_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
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"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0055_label_positive_jitter/sentinel_metadata.json",
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| 44 |
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| 45 |
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| 46 |
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| 48 |
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| 49 |
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|
| 50 |
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|
| 51 |
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|
| 55 |
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| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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|
| 64 |
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"labels": {
|
| 65 |
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|
| 66 |
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|
| 67 |
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],
|
| 68 |
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"map_disease": [
|
| 69 |
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|
| 70 |
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|
| 71 |
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],
|
| 72 |
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|
| 73 |
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|
| 74 |
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]
|
| 75 |
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}
|
| 76 |
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},
|
| 77 |
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"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
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"simsat_provider_repo": "SimSat"
|
| 79 |
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|
| 80 |
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"quality": {
|
| 81 |
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|
| 82 |
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| 83 |
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|
| 84 |
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|
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|
| 86 |
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| 87 |
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|
| 88 |
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| 89 |
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|
| 90 |
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| 91 |
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| 92 |
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| 93 |
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| 95 |
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| 96 |
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| 98 |
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| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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| 103 |
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|
| 104 |
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| 105 |
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| 106 |
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|
| 109 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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| 119 |
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| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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"label_counts": {
|
| 136 |
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"vector_label": 2451,
|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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},
|
| 142 |
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"label_quality": {
|
| 143 |
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"tier": "weak_label_positive",
|
| 144 |
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"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
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},
|
| 146 |
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|
| 147 |
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"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
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|
| 149 |
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|
| 150 |
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"weak_labels": "presence_and_survey_biased"
|
| 151 |
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},
|
| 152 |
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"sampling": {
|
| 153 |
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"sample_type": "label_positive_jitter",
|
| 154 |
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"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0059_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
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|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
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"chip_id": "korhogo_malaria_s0059_label_positive_jitter",
|
| 6 |
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"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
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"primary_disease": "malaria",
|
| 10 |
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"country": "Cote d'Ivoire",
|
| 11 |
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"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
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"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
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|
| 14 |
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"pixels": 512,
|
| 15 |
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"center": {
|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
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|
| 22 |
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|
| 23 |
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|
| 24 |
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],
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
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"image_packet": {
|
| 32 |
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"path": "image_packets/korhogo_malaria/korhogo_malaria_s0059_label_positive_jitter_packet.png",
|
| 33 |
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"sha256": "a429aa448c618148f07cf24392d39a37f9e55255acdbd7f426ce8551b6fce444",
|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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"source_assets": {
|
| 38 |
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"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
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"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0059_label_positive_jitter",
|
| 40 |
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"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0059_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
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"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0059_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
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"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0059_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
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"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0059_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
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"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0059_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
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"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0059_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
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"source_layers": {
|
| 47 |
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"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
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"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
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"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
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"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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},
|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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},
|
| 64 |
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"labels": {
|
| 65 |
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"gbif_vector": [
|
| 66 |
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|
| 67 |
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],
|
| 68 |
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"map_disease": [
|
| 69 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
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],
|
| 72 |
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"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
+
"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
+
"sampling_strategy": "label_positive_jitter",
|
| 90 |
+
"packet_std": 58.0228,
|
| 91 |
+
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|
| 92 |
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},
|
| 93 |
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"numeric_features": {
|
| 94 |
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"raster_stats": {
|
| 95 |
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"rainfall_chirps": {
|
| 96 |
+
"valid_pixels": 262144,
|
| 97 |
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"min": 0.0,
|
| 98 |
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"max": 0.0,
|
| 99 |
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"mean": 0.0,
|
| 100 |
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"median": 0.0,
|
| 101 |
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"p90": 0.0
|
| 102 |
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},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
+
"valid_pixels": 0
|
| 105 |
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},
|
| 106 |
+
"population_worldpop": {
|
| 107 |
+
"valid_pixels": 262144,
|
| 108 |
+
"min": 0.2568,
|
| 109 |
+
"max": 0.606,
|
| 110 |
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"mean": 0.3565,
|
| 111 |
+
"median": 0.3427,
|
| 112 |
+
"p90": 0.4454
|
| 113 |
+
},
|
| 114 |
+
"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
+
},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
+
"valid_pixels": 0
|
| 119 |
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},
|
| 120 |
+
"jrc_gsw_transitions": {
|
| 121 |
+
"valid_pixels": 0
|
| 122 |
+
},
|
| 123 |
+
"jrc_gsw_extent": {
|
| 124 |
+
"valid_pixels": 0
|
| 125 |
+
}
|
| 126 |
+
},
|
| 127 |
+
"osm_counts": {
|
| 128 |
+
"health_facilities": 0,
|
| 129 |
+
"major_roads": 44,
|
| 130 |
+
"schools_waterpoints": 1,
|
| 131 |
+
"urban_landuse": 13,
|
| 132 |
+
"water_surface": 0,
|
| 133 |
+
"waterways": 2
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
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"vector_label": 3814,
|
| 137 |
+
"disease_label": 0,
|
| 138 |
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"intermediate_host_label": 0,
|
| 139 |
+
"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0062_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0062_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
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"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.499890462770658,
|
| 17 |
+
"lat": 9.396661734200269
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
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|
| 21 |
+
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|
| 22 |
+
-5.477101634742627,
|
| 23 |
+
9.419144774348236
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0062_label_positive_jitter_packet.png",
|
| 33 |
+
"sha256": "fec89291b33af874f44ff8c20a7a1ddc9e70f11994072d7b01df2139e8eb4b64",
|
| 34 |
+
"width": 1024,
|
| 35 |
+
"height": 1024
|
| 36 |
+
},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0062_label_positive_jitter",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0062_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0062_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0062_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0062_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0062_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0062_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
+
"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
+
"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
+
"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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"sampling_strategy": "label_positive_jitter",
|
| 90 |
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"packet_std": 57.5817,
|
| 91 |
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|
| 92 |
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},
|
| 93 |
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"numeric_features": {
|
| 94 |
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|
| 95 |
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"rainfall_chirps": {
|
| 96 |
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"valid_pixels": 262144,
|
| 97 |
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"min": 0.0,
|
| 98 |
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"max": 0.0,
|
| 99 |
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"mean": 0.0,
|
| 100 |
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"median": 0.0,
|
| 101 |
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"p90": 0.0
|
| 102 |
+
},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
+
"valid_pixels": 0
|
| 105 |
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},
|
| 106 |
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"population_worldpop": {
|
| 107 |
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"valid_pixels": 261783,
|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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"p90": 1.1447
|
| 113 |
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},
|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
+
},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
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|
| 119 |
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},
|
| 120 |
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"jrc_gsw_transitions": {
|
| 121 |
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|
| 122 |
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},
|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
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"valid_pixels": 0
|
| 125 |
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}
|
| 126 |
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},
|
| 127 |
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"osm_counts": {
|
| 128 |
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"health_facilities": 1,
|
| 129 |
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"major_roads": 94,
|
| 130 |
+
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|
| 131 |
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"urban_landuse": 40,
|
| 132 |
+
"water_surface": 1,
|
| 133 |
+
"waterways": 2
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
+
"vector_label": 2043,
|
| 137 |
+
"disease_label": 0,
|
| 138 |
+
"intermediate_host_label": 0,
|
| 139 |
+
"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0063_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0063_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.563880942257887,
|
| 17 |
+
"lat": 9.38936925363234
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
-5.586669290477614,
|
| 21 |
+
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|
| 22 |
+
-5.54109259403816,
|
| 23 |
+
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|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0063_label_positive_jitter_packet.png",
|
| 33 |
+
"sha256": "0e939f59fc0272ae137f3a0feb28e49c0fac6e9801d5230ad24e6d0faf9dec4e",
|
| 34 |
+
"width": 1024,
|
| 35 |
+
"height": 1024
|
| 36 |
+
},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0063_label_positive_jitter",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0063_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0063_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0063_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0063_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0063_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0063_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
+
"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
+
"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
+
"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
+
"mapbox_available": true,
|
| 84 |
+
"sentinel_cloud_cover_percent": 0,
|
| 85 |
+
"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
+
"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
+
"sampling_strategy": "label_positive_jitter",
|
| 90 |
+
"packet_std": 60.8612,
|
| 91 |
+
"repair_attempts": 0
|
| 92 |
+
},
|
| 93 |
+
"numeric_features": {
|
| 94 |
+
"raster_stats": {
|
| 95 |
+
"rainfall_chirps": {
|
| 96 |
+
"valid_pixels": 262144,
|
| 97 |
+
"min": 0.0,
|
| 98 |
+
"max": 0.0,
|
| 99 |
+
"mean": 0.0,
|
| 100 |
+
"median": 0.0,
|
| 101 |
+
"p90": 0.0
|
| 102 |
+
},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
+
"valid_pixels": 0
|
| 105 |
+
},
|
| 106 |
+
"population_worldpop": {
|
| 107 |
+
"valid_pixels": 262144,
|
| 108 |
+
"min": 0.2609,
|
| 109 |
+
"max": 2.0062,
|
| 110 |
+
"mean": 0.494,
|
| 111 |
+
"median": 0.455,
|
| 112 |
+
"p90": 0.6982
|
| 113 |
+
},
|
| 114 |
+
"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
+
},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
+
"valid_pixels": 0
|
| 119 |
+
},
|
| 120 |
+
"jrc_gsw_transitions": {
|
| 121 |
+
"valid_pixels": 0
|
| 122 |
+
},
|
| 123 |
+
"jrc_gsw_extent": {
|
| 124 |
+
"valid_pixels": 0
|
| 125 |
+
}
|
| 126 |
+
},
|
| 127 |
+
"osm_counts": {
|
| 128 |
+
"health_facilities": 0,
|
| 129 |
+
"major_roads": 35,
|
| 130 |
+
"schools_waterpoints": 3,
|
| 131 |
+
"urban_landuse": 24,
|
| 132 |
+
"water_surface": 0,
|
| 133 |
+
"waterways": 3
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
+
"vector_label": 3300,
|
| 137 |
+
"disease_label": 0,
|
| 138 |
+
"intermediate_host_label": 0,
|
| 139 |
+
"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0064_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0064_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.565073293408481,
|
| 17 |
+
"lat": 9.391436185514513
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
-5.587861777582322,
|
| 21 |
+
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|
| 22 |
+
-5.542284809234639,
|
| 23 |
+
9.41391922566248
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0064_label_positive_jitter_packet.png",
|
| 33 |
+
"sha256": "9c34aa196d1255b950c2fc0807b4c63e7575c20f01b6f919201b99f87301c728",
|
| 34 |
+
"width": 1024,
|
| 35 |
+
"height": 1024
|
| 36 |
+
},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0064_label_positive_jitter",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0064_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0064_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0064_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0064_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0064_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0064_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
+
"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
+
"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
+
"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
+
"mapbox_available": true,
|
| 84 |
+
"sentinel_cloud_cover_percent": 0,
|
| 85 |
+
"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
+
"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
+
"sampling_strategy": "label_positive_jitter",
|
| 90 |
+
"packet_std": 60.9335,
|
| 91 |
+
"repair_attempts": 0
|
| 92 |
+
},
|
| 93 |
+
"numeric_features": {
|
| 94 |
+
"raster_stats": {
|
| 95 |
+
"rainfall_chirps": {
|
| 96 |
+
"valid_pixels": 262144,
|
| 97 |
+
"min": 0.0,
|
| 98 |
+
"max": 0.0,
|
| 99 |
+
"mean": 0.0,
|
| 100 |
+
"median": 0.0,
|
| 101 |
+
"p90": 0.0
|
| 102 |
+
},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
+
"valid_pixels": 0
|
| 105 |
+
},
|
| 106 |
+
"population_worldpop": {
|
| 107 |
+
"valid_pixels": 262144,
|
| 108 |
+
"min": 0.2612,
|
| 109 |
+
"max": 2.7804,
|
| 110 |
+
"mean": 0.5189,
|
| 111 |
+
"median": 0.4647,
|
| 112 |
+
"p90": 0.7109
|
| 113 |
+
},
|
| 114 |
+
"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
+
},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
+
"valid_pixels": 0
|
| 119 |
+
},
|
| 120 |
+
"jrc_gsw_transitions": {
|
| 121 |
+
"valid_pixels": 0
|
| 122 |
+
},
|
| 123 |
+
"jrc_gsw_extent": {
|
| 124 |
+
"valid_pixels": 0
|
| 125 |
+
}
|
| 126 |
+
},
|
| 127 |
+
"osm_counts": {
|
| 128 |
+
"health_facilities": 0,
|
| 129 |
+
"major_roads": 36,
|
| 130 |
+
"schools_waterpoints": 3,
|
| 131 |
+
"urban_landuse": 70,
|
| 132 |
+
"water_surface": 0,
|
| 133 |
+
"waterways": 2
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
+
"vector_label": 3300,
|
| 137 |
+
"disease_label": 0,
|
| 138 |
+
"intermediate_host_label": 0,
|
| 139 |
+
"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0068_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0068_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.489359923916539,
|
| 17 |
+
"lat": 9.391892412298452
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
-5.51214843810328,
|
| 21 |
+
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|
| 22 |
+
-5.466571409729799,
|
| 23 |
+
9.41437545244642
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0068_label_positive_jitter_packet.png",
|
| 33 |
+
"sha256": "b2eb7fe2d0e769b0defb2e25d8dcdf42a24f894a4666ff761ced92567cf74bd3",
|
| 34 |
+
"width": 1024,
|
| 35 |
+
"height": 1024
|
| 36 |
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},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0068_label_positive_jitter",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0068_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0068_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0068_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0068_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0068_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0068_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
+
"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
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"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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"sampling_strategy": "label_positive_jitter",
|
| 90 |
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"packet_std": 57.4144,
|
| 91 |
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"repair_attempts": 0
|
| 92 |
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},
|
| 93 |
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"numeric_features": {
|
| 94 |
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|
| 95 |
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"rainfall_chirps": {
|
| 96 |
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"valid_pixels": 262144,
|
| 97 |
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|
| 98 |
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"max": 0.0,
|
| 99 |
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"mean": 0.0,
|
| 100 |
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"median": 0.0,
|
| 101 |
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"p90": 0.0
|
| 102 |
+
},
|
| 103 |
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"land_cover_worldcover": {
|
| 104 |
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"valid_pixels": 0
|
| 105 |
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},
|
| 106 |
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"population_worldpop": {
|
| 107 |
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"valid_pixels": 262144,
|
| 108 |
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"min": 0.2005,
|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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"p90": 1.0964
|
| 113 |
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},
|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
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"valid_pixels": 0
|
| 116 |
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},
|
| 117 |
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"jrc_gsw_seasonality": {
|
| 118 |
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"valid_pixels": 0
|
| 119 |
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},
|
| 120 |
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"jrc_gsw_transitions": {
|
| 121 |
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"valid_pixels": 0
|
| 122 |
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},
|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
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|
| 125 |
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}
|
| 126 |
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},
|
| 127 |
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"osm_counts": {
|
| 128 |
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|
| 129 |
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"major_roads": 32,
|
| 130 |
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|
| 131 |
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|
| 132 |
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"water_surface": 1,
|
| 133 |
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"waterways": 3
|
| 134 |
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},
|
| 135 |
+
"label_counts": {
|
| 136 |
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"vector_label": 1807,
|
| 137 |
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"disease_label": 0,
|
| 138 |
+
"intermediate_host_label": 0,
|
| 139 |
+
"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0069_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0069_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
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"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
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"chip_size_km": 5.0,
|
| 14 |
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"pixels": 512,
|
| 15 |
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"center": {
|
| 16 |
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"lon": -5.525375891378269,
|
| 17 |
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"lat": 9.284817449017133
|
| 18 |
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},
|
| 19 |
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"bbox": [
|
| 20 |
+
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|
| 21 |
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|
| 22 |
+
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|
| 23 |
+
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|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0069_label_positive_jitter_packet.png",
|
| 33 |
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"sha256": "9457198e7651fe57ba4640a55c8c7146e636a21f56878f84cb915ec199fb9d2a",
|
| 34 |
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"width": 1024,
|
| 35 |
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"height": 1024
|
| 36 |
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},
|
| 37 |
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"source_assets": {
|
| 38 |
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"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0069_label_positive_jitter",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0069_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0069_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0069_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0069_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0069_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
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"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0069_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
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"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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},
|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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},
|
| 64 |
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"labels": {
|
| 65 |
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"gbif_vector": [
|
| 66 |
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|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
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],
|
| 72 |
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"map_vector": [
|
| 73 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
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}
|
| 76 |
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},
|
| 77 |
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"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
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"simsat_provider_repo": "SimSat"
|
| 79 |
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},
|
| 80 |
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"quality": {
|
| 81 |
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"evidence_packet_available": true,
|
| 82 |
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"sentinel_available": true,
|
| 83 |
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|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
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|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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|
| 90 |
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|
| 91 |
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| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 97 |
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| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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"land_cover_worldcover": {
|
| 104 |
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| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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"label_quality": {
|
| 143 |
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"tier": "weak_label_positive",
|
| 144 |
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"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
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"weak_labels": "presence_and_survey_biased"
|
| 151 |
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},
|
| 152 |
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"sampling": {
|
| 153 |
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"sample_type": "label_positive_jitter",
|
| 154 |
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"sampler_version": "stratified-v0.1"
|
| 155 |
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}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0070_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0070_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
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"pixels": 512,
|
| 15 |
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"center": {
|
| 16 |
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"lon": -5.463366328513291,
|
| 17 |
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"lat": 9.446710132342968
|
| 18 |
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},
|
| 19 |
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"bbox": [
|
| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 27 |
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| 28 |
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|
| 29 |
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|
| 30 |
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| 31 |
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| 32 |
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|
| 42 |
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|
| 43 |
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| 50 |
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| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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],
|
| 68 |
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"map_disease": [
|
| 69 |
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|
| 70 |
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|
| 71 |
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],
|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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}
|
| 76 |
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| 77 |
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"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
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| 78 |
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|
| 79 |
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| 80 |
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| 81 |
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|
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|
| 122 |
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| 123 |
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| 125 |
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| 132 |
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| 133 |
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| 134 |
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|
| 135 |
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| 136 |
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|
| 137 |
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|
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|
| 139 |
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|
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|
| 141 |
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| 142 |
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"label_quality": {
|
| 143 |
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"tier": "weak_label_positive",
|
| 144 |
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"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
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},
|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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"sampling": {
|
| 153 |
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"sample_type": "label_positive_jitter",
|
| 154 |
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"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0071_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
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"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0071_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
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"country": "Cote d'Ivoire",
|
| 11 |
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"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
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"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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],
|
| 25 |
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"panel_order": [
|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
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],
|
| 31 |
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"image_packet": {
|
| 32 |
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"path": "image_packets/korhogo_malaria/korhogo_malaria_s0071_label_positive_jitter_packet.png",
|
| 33 |
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"sha256": "457fb8f917ce63565d3d3b60c643c5a2dd7fdf5939c4f3ed2296e953734f2bf8",
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| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
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"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0071_label_positive_jitter",
|
| 40 |
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"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0071_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
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"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0071_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
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"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0071_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
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"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0071_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
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"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0071_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
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|
| 46 |
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"source_layers": {
|
| 47 |
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|
| 48 |
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"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
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"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
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"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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},
|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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},
|
| 64 |
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"labels": {
|
| 65 |
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"gbif_vector": [
|
| 66 |
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|
| 67 |
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],
|
| 68 |
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"map_disease": [
|
| 69 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
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],
|
| 72 |
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"map_vector": [
|
| 73 |
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|
| 74 |
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]
|
| 75 |
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}
|
| 76 |
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},
|
| 77 |
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"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
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"simsat_provider_repo": "SimSat"
|
| 79 |
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},
|
| 80 |
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"quality": {
|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
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"mapbox_target_visible": true,
|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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"sampling_strategy": "label_positive_jitter",
|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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| 95 |
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|
| 96 |
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|
| 97 |
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| 98 |
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|
| 99 |
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|
| 100 |
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"median": 0.0,
|
| 101 |
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"p90": 0.0
|
| 102 |
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|
| 103 |
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"land_cover_worldcover": {
|
| 104 |
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"valid_pixels": 0
|
| 105 |
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},
|
| 106 |
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"population_worldpop": {
|
| 107 |
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"valid_pixels": 262144,
|
| 108 |
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"min": 0.2296,
|
| 109 |
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"max": 0.9323,
|
| 110 |
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"mean": 0.4832,
|
| 111 |
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"median": 0.5158,
|
| 112 |
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"p90": 0.7194
|
| 113 |
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|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
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"valid_pixels": 0
|
| 116 |
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},
|
| 117 |
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"jrc_gsw_seasonality": {
|
| 118 |
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|
| 119 |
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|
| 120 |
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"jrc_gsw_transitions": {
|
| 121 |
+
"valid_pixels": 0
|
| 122 |
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},
|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
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"valid_pixels": 0
|
| 125 |
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}
|
| 126 |
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},
|
| 127 |
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"osm_counts": {
|
| 128 |
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"health_facilities": 0,
|
| 129 |
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"major_roads": 7,
|
| 130 |
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"schools_waterpoints": 0,
|
| 131 |
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"urban_landuse": 7,
|
| 132 |
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"water_surface": 0,
|
| 133 |
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"waterways": 1
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
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"vector_label": 2832,
|
| 137 |
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"disease_label": 0,
|
| 138 |
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|
| 139 |
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"disease_aggregate": 0
|
| 140 |
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}
|
| 141 |
+
},
|
| 142 |
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"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0076_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0076_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
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"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
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|
| 14 |
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"pixels": 512,
|
| 15 |
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"center": {
|
| 16 |
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|
| 17 |
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|
| 18 |
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},
|
| 19 |
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"bbox": [
|
| 20 |
+
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|
| 21 |
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|
| 22 |
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|
| 23 |
+
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|
| 24 |
+
],
|
| 25 |
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"panel_order": [
|
| 26 |
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"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0076_label_positive_jitter_packet.png",
|
| 33 |
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"sha256": "7e73f0753ac6cff24dc674a6008856d9453f7596ebeb80bc3375fc7004ebb161",
|
| 34 |
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"width": 1024,
|
| 35 |
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"height": 1024
|
| 36 |
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},
|
| 37 |
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"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0076_label_positive_jitter",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0076_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0076_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0076_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0076_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0076_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0076_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
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"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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},
|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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},
|
| 64 |
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"labels": {
|
| 65 |
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"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
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"map_vector": [
|
| 73 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
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}
|
| 76 |
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},
|
| 77 |
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"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
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"simsat_provider_repo": "SimSat"
|
| 79 |
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},
|
| 80 |
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"quality": {
|
| 81 |
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"evidence_packet_available": true,
|
| 82 |
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"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
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"mapbox_target_visible": true,
|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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"sampling_strategy": "label_positive_jitter",
|
| 90 |
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"packet_std": 58.6438,
|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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"max": 0.0,
|
| 99 |
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"mean": 0.0,
|
| 100 |
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"median": 0.0,
|
| 101 |
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|
| 102 |
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},
|
| 103 |
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"land_cover_worldcover": {
|
| 104 |
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|
| 105 |
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},
|
| 106 |
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"population_worldpop": {
|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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"p90": 0.4089
|
| 113 |
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|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
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"valid_pixels": 0
|
| 116 |
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|
| 117 |
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"jrc_gsw_seasonality": {
|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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},
|
| 135 |
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"label_counts": {
|
| 136 |
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"vector_label": 3549,
|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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}
|
| 141 |
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},
|
| 142 |
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"label_quality": {
|
| 143 |
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"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
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},
|
| 146 |
+
"license_flags": {
|
| 147 |
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"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
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"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
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"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "label_positive_jitter",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0080_label_positive_jitter_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0080_label_positive_jitter",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
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"pixels": 512,
|
| 15 |
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"center": {
|
| 16 |
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"lon": -5.60919385504163,
|
| 17 |
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"lat": 9.257895078498008
|
| 18 |
+
},
|
| 19 |
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"bbox": [
|
| 20 |
+
-5.631973619673479,
|
| 21 |
+
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|
| 22 |
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|
| 23 |
+
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|
| 24 |
+
],
|
| 25 |
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"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0080_label_positive_jitter_packet.png",
|
| 33 |
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"sha256": "e36531d6a8738bd97797513a4fa22a4e8088015b5588efc689859bef7aeeb108",
|
| 34 |
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"width": 1024,
|
| 35 |
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"height": 1024
|
| 36 |
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},
|
| 37 |
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"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0080_label_positive_jitter",
|
| 40 |
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"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0080_label_positive_jitter/sentinel_rgb.png",
|
| 41 |
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"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0080_label_positive_jitter/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0080_label_positive_jitter/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0080_label_positive_jitter/sentinel_metadata.json",
|
| 44 |
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"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0080_label_positive_jitter/mapbox_satellite.png",
|
| 45 |
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"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0080_label_positive_jitter/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
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"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
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"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
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"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
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"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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"sampling_strategy": "label_positive_jitter",
|
| 90 |
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"packet_std": 60.982,
|
| 91 |
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|
| 92 |
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},
|
| 93 |
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"numeric_features": {
|
| 94 |
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"raster_stats": {
|
| 95 |
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"rainfall_chirps": {
|
| 96 |
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"valid_pixels": 262144,
|
| 97 |
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"min": 0.0,
|
| 98 |
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"max": 0.0,
|
| 99 |
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"mean": 0.0,
|
| 100 |
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"median": 0.0,
|
| 101 |
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"p90": 0.0
|
| 102 |
+
},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
+
"valid_pixels": 0
|
| 105 |
+
},
|
| 106 |
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"population_worldpop": {
|
| 107 |
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"valid_pixels": 179219,
|
| 108 |
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|
| 109 |
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"max": 3.1787,
|
| 110 |
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"mean": 0.5534,
|
| 111 |
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"median": 0.4198,
|
| 112 |
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"p90": 0.8798
|
| 113 |
+
},
|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
+
},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
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|
| 119 |
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},
|
| 120 |
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"jrc_gsw_transitions": {
|
| 121 |
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"valid_pixels": 0
|
| 122 |
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},
|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
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"valid_pixels": 0
|
| 125 |
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}
|
| 126 |
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},
|
| 127 |
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|
| 128 |
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|
| 129 |
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"major_roads": 46,
|
| 130 |
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|
| 131 |
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"urban_landuse": 11,
|
| 132 |
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|
| 133 |
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"waterways": 2
|
| 134 |
+
},
|
| 135 |
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"label_counts": {
|
| 136 |
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"vector_label": 4947,
|
| 137 |
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"disease_label": 1,
|
| 138 |
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"intermediate_host_label": 0,
|
| 139 |
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"disease_aggregate": 0
|
| 140 |
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}
|
| 141 |
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},
|
| 142 |
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"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
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},
|
| 146 |
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"license_flags": {
|
| 147 |
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"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
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"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
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"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
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"weak_labels": "presence_and_survey_biased"
|
| 151 |
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},
|
| 152 |
+
"sampling": {
|
| 153 |
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"sample_type": "label_positive_jitter",
|
| 154 |
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"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0083_hard_negative_water_urban_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0083_hard_negative_water_urban",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.631860751561851,
|
| 17 |
+
"lat": 9.458981708174651
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
-5.6546536958153535,
|
| 21 |
+
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|
| 22 |
+
-5.609067807308348,
|
| 23 |
+
9.481464748322619
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0083_hard_negative_water_urban_packet.png",
|
| 33 |
+
"sha256": "4db530a1005ae727d4632355210f35315b423ecae49053d3cc8b1a2f2bbb1680",
|
| 34 |
+
"width": 1024,
|
| 35 |
+
"height": 1024
|
| 36 |
+
},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0083_hard_negative_water_urban",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0083_hard_negative_water_urban/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0083_hard_negative_water_urban/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0083_hard_negative_water_urban/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0083_hard_negative_water_urban/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0083_hard_negative_water_urban/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0083_hard_negative_water_urban/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
+
"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
+
"mapbox_available": true,
|
| 84 |
+
"sentinel_cloud_cover_percent": 0,
|
| 85 |
+
"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
+
"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
+
"sampling_strategy": "hard_negative_water_urban",
|
| 90 |
+
"packet_std": 64.1157,
|
| 91 |
+
"repair_attempts": 0
|
| 92 |
+
},
|
| 93 |
+
"numeric_features": {
|
| 94 |
+
"raster_stats": {
|
| 95 |
+
"rainfall_chirps": {
|
| 96 |
+
"valid_pixels": 262144,
|
| 97 |
+
"min": 0.0,
|
| 98 |
+
"max": 0.0,
|
| 99 |
+
"mean": 0.0,
|
| 100 |
+
"median": 0.0,
|
| 101 |
+
"p90": 0.0
|
| 102 |
+
},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
+
"valid_pixels": 0
|
| 105 |
+
},
|
| 106 |
+
"population_worldpop": {
|
| 107 |
+
"valid_pixels": 257341,
|
| 108 |
+
"min": 8.927,
|
| 109 |
+
"max": 30.9788,
|
| 110 |
+
"mean": 20.5535,
|
| 111 |
+
"median": 19.4035,
|
| 112 |
+
"p90": 27.1565
|
| 113 |
+
},
|
| 114 |
+
"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
+
},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
+
"valid_pixels": 0
|
| 119 |
+
},
|
| 120 |
+
"jrc_gsw_transitions": {
|
| 121 |
+
"valid_pixels": 0
|
| 122 |
+
},
|
| 123 |
+
"jrc_gsw_extent": {
|
| 124 |
+
"valid_pixels": 0
|
| 125 |
+
}
|
| 126 |
+
},
|
| 127 |
+
"osm_counts": {
|
| 128 |
+
"health_facilities": 41,
|
| 129 |
+
"major_roads": 1228,
|
| 130 |
+
"schools_waterpoints": 103,
|
| 131 |
+
"urban_landuse": 36827,
|
| 132 |
+
"water_surface": 4,
|
| 133 |
+
"waterways": 31
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
+
"vector_label": 5,
|
| 137 |
+
"disease_label": 12,
|
| 138 |
+
"intermediate_host_label": 0,
|
| 139 |
+
"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "hard_negative_water_urban",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0085_hard_negative_water_urban_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0085_hard_negative_water_urban",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.621444299278761,
|
| 17 |
+
"lat": 9.53330314421187
|
| 18 |
+
},
|
| 19 |
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"bbox": [
|
| 20 |
+
-5.644242189667029,
|
| 21 |
+
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|
| 22 |
+
-5.5986464088904935,
|
| 23 |
+
9.555786184359837
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0085_hard_negative_water_urban_packet.png",
|
| 33 |
+
"sha256": "34ea144e4d3a8e1f111e793e5972f653f90f0b634481b64ea019c4d82b2a5000",
|
| 34 |
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"width": 1024,
|
| 35 |
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"height": 1024
|
| 36 |
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},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0085_hard_negative_water_urban",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0085_hard_negative_water_urban/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0085_hard_negative_water_urban/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0085_hard_negative_water_urban/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0085_hard_negative_water_urban/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0085_hard_negative_water_urban/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0085_hard_negative_water_urban/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
+
"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
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"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
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},
|
| 80 |
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"quality": {
|
| 81 |
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"evidence_packet_available": true,
|
| 82 |
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"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
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"mapbox_target_visible": true,
|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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"sampling_strategy": "hard_negative_water_urban",
|
| 90 |
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"packet_std": 64.1636,
|
| 91 |
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|
| 92 |
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},
|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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},
|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
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|
| 116 |
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|
| 117 |
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"jrc_gsw_seasonality": {
|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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}
|
| 126 |
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},
|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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},
|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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}
|
| 141 |
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},
|
| 142 |
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"label_quality": {
|
| 143 |
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"tier": "hard_or_ecological_negative",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
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"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
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"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
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"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
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"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "hard_negative_water_urban",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0086_hard_negative_water_urban_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0086_hard_negative_water_urban",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.613537388163712,
|
| 17 |
+
"lat": 9.450083806910184
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
-5.636329742970882,
|
| 21 |
+
9.427600766762216,
|
| 22 |
+
-5.590745033356542,
|
| 23 |
+
9.472566847058152
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0086_hard_negative_water_urban_packet.png",
|
| 33 |
+
"sha256": "f876d95a5da587c9b3ff223e836a8dfcc834fcdce5ff2443a68b7c67664ad521",
|
| 34 |
+
"width": 1024,
|
| 35 |
+
"height": 1024
|
| 36 |
+
},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0086_hard_negative_water_urban",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0086_hard_negative_water_urban/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0086_hard_negative_water_urban/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0086_hard_negative_water_urban/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0086_hard_negative_water_urban/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0086_hard_negative_water_urban/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0086_hard_negative_water_urban/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
+
"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
+
"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
+
"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
+
"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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"sampling_strategy": "hard_negative_water_urban",
|
| 90 |
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"packet_std": 65.9895,
|
| 91 |
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"repair_attempts": 0
|
| 92 |
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},
|
| 93 |
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"numeric_features": {
|
| 94 |
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"raster_stats": {
|
| 95 |
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"rainfall_chirps": {
|
| 96 |
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"valid_pixels": 262144,
|
| 97 |
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"min": 0.0,
|
| 98 |
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"max": 0.0,
|
| 99 |
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"mean": 0.0,
|
| 100 |
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"median": 0.0,
|
| 101 |
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"p90": 0.0
|
| 102 |
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},
|
| 103 |
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"land_cover_worldcover": {
|
| 104 |
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"valid_pixels": 0
|
| 105 |
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},
|
| 106 |
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"population_worldpop": {
|
| 107 |
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"valid_pixels": 262144,
|
| 108 |
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"min": 2.7466,
|
| 109 |
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"max": 30.5549,
|
| 110 |
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"mean": 15.912,
|
| 111 |
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"median": 15.4037,
|
| 112 |
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"p90": 25.8392
|
| 113 |
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},
|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
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"valid_pixels": 0
|
| 116 |
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},
|
| 117 |
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"jrc_gsw_seasonality": {
|
| 118 |
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"valid_pixels": 0
|
| 119 |
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},
|
| 120 |
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"jrc_gsw_transitions": {
|
| 121 |
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"valid_pixels": 0
|
| 122 |
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},
|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
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"valid_pixels": 0
|
| 125 |
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}
|
| 126 |
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},
|
| 127 |
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"osm_counts": {
|
| 128 |
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"health_facilities": 38,
|
| 129 |
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"major_roads": 1032,
|
| 130 |
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"schools_waterpoints": 87,
|
| 131 |
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"urban_landuse": 33391,
|
| 132 |
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"water_surface": 2,
|
| 133 |
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"waterways": 31
|
| 134 |
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},
|
| 135 |
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"label_counts": {
|
| 136 |
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"vector_label": 1,
|
| 137 |
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"disease_label": 0,
|
| 138 |
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"intermediate_host_label": 0,
|
| 139 |
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"disease_aggregate": 0
|
| 140 |
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}
|
| 141 |
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},
|
| 142 |
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"label_quality": {
|
| 143 |
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"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
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"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
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"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
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"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "hard_negative_water_urban",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0089_hard_negative_water_urban_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0089_hard_negative_water_urban",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.66001896059031,
|
| 17 |
+
"lat": 9.415394487227026
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
-5.682809022923607,
|
| 21 |
+
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|
| 22 |
+
-5.637228898257014,
|
| 23 |
+
9.437877527374994
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0089_hard_negative_water_urban_packet.png",
|
| 33 |
+
"sha256": "bbdd01a9c956c8a929629b5fe61483e8bbc400d10b8b91ba547b0383d7be0d6c",
|
| 34 |
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"width": 1024,
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
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"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0089_hard_negative_water_urban",
|
| 40 |
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"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0089_hard_negative_water_urban/sentinel_rgb.png",
|
| 41 |
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"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0089_hard_negative_water_urban/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0089_hard_negative_water_urban/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0089_hard_negative_water_urban/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0089_hard_negative_water_urban/mapbox_satellite.png",
|
| 45 |
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|
| 46 |
+
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|
| 47 |
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|
| 48 |
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"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
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"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
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"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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|
| 53 |
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|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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},
|
| 64 |
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"labels": {
|
| 65 |
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"gbif_vector": [
|
| 66 |
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|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
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},
|
| 80 |
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"quality": {
|
| 81 |
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"evidence_packet_available": true,
|
| 82 |
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"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
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"mapbox_target_visible": true,
|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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|
| 90 |
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"packet_std": 63.4996,
|
| 91 |
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|
| 92 |
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},
|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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"valid_pixels": 262144,
|
| 97 |
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|
| 98 |
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"max": 0.0,
|
| 99 |
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|
| 100 |
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"median": 0.0,
|
| 101 |
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"p90": 0.0
|
| 102 |
+
},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
+
"valid_pixels": 0
|
| 105 |
+
},
|
| 106 |
+
"population_worldpop": {
|
| 107 |
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|
| 108 |
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"min": 0.709,
|
| 109 |
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|
| 110 |
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"mean": 3.4056,
|
| 111 |
+
"median": 3.0297,
|
| 112 |
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"p90": 5.8828
|
| 113 |
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},
|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
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"valid_pixels": 0
|
| 116 |
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},
|
| 117 |
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"jrc_gsw_seasonality": {
|
| 118 |
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"valid_pixels": 0
|
| 119 |
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},
|
| 120 |
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"jrc_gsw_transitions": {
|
| 121 |
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"valid_pixels": 0
|
| 122 |
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},
|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
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"valid_pixels": 0
|
| 125 |
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}
|
| 126 |
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},
|
| 127 |
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"osm_counts": {
|
| 128 |
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|
| 129 |
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"major_roads": 241,
|
| 130 |
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"schools_waterpoints": 12,
|
| 131 |
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|
| 132 |
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"water_surface": 0,
|
| 133 |
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"waterways": 5
|
| 134 |
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},
|
| 135 |
+
"label_counts": {
|
| 136 |
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"vector_label": 0,
|
| 137 |
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"disease_label": 0,
|
| 138 |
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"intermediate_host_label": 0,
|
| 139 |
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"disease_aggregate": 0
|
| 140 |
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}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "hard_or_ecological_negative",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "hard_negative_water_urban",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0090_hard_negative_water_urban_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0090_hard_negative_water_urban",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
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"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
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"chip_size_km": 5.0,
|
| 14 |
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"pixels": 512,
|
| 15 |
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"center": {
|
| 16 |
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"lon": -5.513047254055609,
|
| 17 |
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"lat": 9.482343589896718
|
| 18 |
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},
|
| 19 |
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"bbox": [
|
| 20 |
+
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|
| 21 |
+
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|
| 22 |
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-5.490252759419704,
|
| 23 |
+
9.504826630044686
|
| 24 |
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],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0090_hard_negative_water_urban_packet.png",
|
| 33 |
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"sha256": "a1d2973a8a6ef3554472dc1da8efd62af85c0aca11a7ffbc863a55aab7f51662",
|
| 34 |
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"width": 1024,
|
| 35 |
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"height": 1024
|
| 36 |
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},
|
| 37 |
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"source_assets": {
|
| 38 |
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"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
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"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0090_hard_negative_water_urban",
|
| 40 |
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"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0090_hard_negative_water_urban/sentinel_rgb.png",
|
| 41 |
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"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0090_hard_negative_water_urban/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0090_hard_negative_water_urban/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0090_hard_negative_water_urban/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0090_hard_negative_water_urban/mapbox_satellite.png",
|
| 45 |
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"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0090_hard_negative_water_urban/mapbox_metadata.json",
|
| 46 |
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"source_layers": {
|
| 47 |
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"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
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"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
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"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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},
|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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},
|
| 64 |
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"labels": {
|
| 65 |
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"gbif_vector": [
|
| 66 |
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"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
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],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
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],
|
| 72 |
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"map_vector": [
|
| 73 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
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]
|
| 75 |
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}
|
| 76 |
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},
|
| 77 |
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"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
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"simsat_provider_repo": "SimSat"
|
| 79 |
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},
|
| 80 |
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"quality": {
|
| 81 |
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"evidence_packet_available": true,
|
| 82 |
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"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
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"mapbox_target_visible": true,
|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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"sampling_strategy": "hard_negative_water_urban",
|
| 90 |
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"packet_std": 57.7699,
|
| 91 |
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"repair_attempts": 0
|
| 92 |
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},
|
| 93 |
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"numeric_features": {
|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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"median": 0.0,
|
| 101 |
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"p90": 0.0
|
| 102 |
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},
|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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"mean": 0.5392,
|
| 111 |
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"median": 0.4469,
|
| 112 |
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"p90": 0.9912
|
| 113 |
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},
|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
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},
|
| 117 |
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"jrc_gsw_seasonality": {
|
| 118 |
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|
| 119 |
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},
|
| 120 |
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"jrc_gsw_transitions": {
|
| 121 |
+
"valid_pixels": 0
|
| 122 |
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},
|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
+
"valid_pixels": 0
|
| 125 |
+
}
|
| 126 |
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},
|
| 127 |
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"osm_counts": {
|
| 128 |
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"health_facilities": 0,
|
| 129 |
+
"major_roads": 43,
|
| 130 |
+
"schools_waterpoints": 3,
|
| 131 |
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"urban_landuse": 99,
|
| 132 |
+
"water_surface": 0,
|
| 133 |
+
"waterways": 5
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
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"vector_label": 1793,
|
| 137 |
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"disease_label": 0,
|
| 138 |
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"intermediate_host_label": 0,
|
| 139 |
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"disease_aggregate": 0
|
| 140 |
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}
|
| 141 |
+
},
|
| 142 |
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"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "hard_negative_water_urban",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0093_hard_negative_water_urban_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
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|
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|
|
|
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|
|
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|
|
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|
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|
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|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0093_hard_negative_water_urban",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
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"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
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|
| 14 |
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"pixels": 512,
|
| 15 |
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"center": {
|
| 16 |
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|
| 17 |
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|
| 18 |
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},
|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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],
|
| 25 |
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"panel_order": [
|
| 26 |
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"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
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"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
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"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
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"path": "image_packets/korhogo_malaria/korhogo_malaria_s0093_hard_negative_water_urban_packet.png",
|
| 33 |
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"sha256": "7b3c6ac8bd47fc8621f2803e24c858c4e5a172f1f0eb9645a127db0894992225",
|
| 34 |
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"width": 1024,
|
| 35 |
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|
| 36 |
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},
|
| 37 |
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"source_assets": {
|
| 38 |
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"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
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"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0093_hard_negative_water_urban",
|
| 40 |
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"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0093_hard_negative_water_urban/sentinel_rgb.png",
|
| 41 |
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"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0093_hard_negative_water_urban/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0093_hard_negative_water_urban/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0093_hard_negative_water_urban/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0093_hard_negative_water_urban/mapbox_satellite.png",
|
| 45 |
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|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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},
|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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},
|
| 64 |
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"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
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"map_vector": [
|
| 73 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
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}
|
| 76 |
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},
|
| 77 |
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"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
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"simsat_provider_repo": "SimSat"
|
| 79 |
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},
|
| 80 |
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"quality": {
|
| 81 |
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"evidence_packet_available": true,
|
| 82 |
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"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
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"mapbox_target_visible": true,
|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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|
| 90 |
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"packet_std": 65.1347,
|
| 91 |
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|
| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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}
|
| 141 |
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},
|
| 142 |
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"label_quality": {
|
| 143 |
+
"tier": "hard_or_ecological_negative",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
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"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
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"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
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"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "hard_negative_water_urban",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0095_hard_negative_water_urban_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0095_hard_negative_water_urban",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
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"pixels": 512,
|
| 15 |
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"center": {
|
| 16 |
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"lon": -5.668485728695219,
|
| 17 |
+
"lat": 9.469943691592743
|
| 18 |
+
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|
| 19 |
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"bbox": [
|
| 20 |
+
-5.6912793999290425,
|
| 21 |
+
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|
| 22 |
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|
| 23 |
+
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|
| 24 |
+
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|
| 25 |
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"panel_order": [
|
| 26 |
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"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0095_hard_negative_water_urban_packet.png",
|
| 33 |
+
"sha256": "ef900f2746a96b8310716cd87967892671436e2c9f06b1d30738ef003cec313e",
|
| 34 |
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"width": 1024,
|
| 35 |
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"height": 1024
|
| 36 |
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},
|
| 37 |
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"source_assets": {
|
| 38 |
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"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
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"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0095_hard_negative_water_urban",
|
| 40 |
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"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0095_hard_negative_water_urban/sentinel_rgb.png",
|
| 41 |
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"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0095_hard_negative_water_urban/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0095_hard_negative_water_urban/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0095_hard_negative_water_urban/sentinel_metadata.json",
|
| 44 |
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"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0095_hard_negative_water_urban/mapbox_satellite.png",
|
| 45 |
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"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0095_hard_negative_water_urban/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
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"sentinel_available": true,
|
| 83 |
+
"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
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"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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"sampling_strategy": "hard_negative_water_urban",
|
| 90 |
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"packet_std": 69.5393,
|
| 91 |
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|
| 92 |
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},
|
| 93 |
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"numeric_features": {
|
| 94 |
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"raster_stats": {
|
| 95 |
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|
| 96 |
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"valid_pixels": 262144,
|
| 97 |
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"min": 0.0,
|
| 98 |
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"max": 0.0,
|
| 99 |
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"mean": 0.0,
|
| 100 |
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"median": 0.0,
|
| 101 |
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"p90": 0.0
|
| 102 |
+
},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
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"valid_pixels": 0
|
| 105 |
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},
|
| 106 |
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"population_worldpop": {
|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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"median": 8.6574,
|
| 112 |
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"p90": 18.7134
|
| 113 |
+
},
|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
+
},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
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"valid_pixels": 0
|
| 119 |
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},
|
| 120 |
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"jrc_gsw_transitions": {
|
| 121 |
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"valid_pixels": 0
|
| 122 |
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},
|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
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"valid_pixels": 0
|
| 125 |
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}
|
| 126 |
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},
|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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"waterways": 2
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
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"vector_label": 0,
|
| 137 |
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"disease_label": 0,
|
| 138 |
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"intermediate_host_label": 0,
|
| 139 |
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"disease_aggregate": 0
|
| 140 |
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}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "hard_or_ecological_negative",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
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"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
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"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
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"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "hard_negative_water_urban",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0096_hard_negative_water_urban_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0096_hard_negative_water_urban",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.573750510017004,
|
| 17 |
+
"lat": 9.461115094621377
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
-5.596543595684091,
|
| 21 |
+
9.438632054473409,
|
| 22 |
+
-5.550957424349917,
|
| 23 |
+
9.483598134769345
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0096_hard_negative_water_urban_packet.png",
|
| 33 |
+
"sha256": "744015ebff66f50d964c5ec10a6751b930165fd4e6aacaa7b7d5f7b715fefdc0",
|
| 34 |
+
"width": 1024,
|
| 35 |
+
"height": 1024
|
| 36 |
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},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0096_hard_negative_water_urban",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0096_hard_negative_water_urban/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0096_hard_negative_water_urban/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0096_hard_negative_water_urban/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0096_hard_negative_water_urban/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0096_hard_negative_water_urban/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0096_hard_negative_water_urban/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
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"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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},
|
| 56 |
+
"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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"sampling_strategy": "hard_negative_water_urban",
|
| 90 |
+
"packet_std": 62.5232,
|
| 91 |
+
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|
| 92 |
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},
|
| 93 |
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"numeric_features": {
|
| 94 |
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"raster_stats": {
|
| 95 |
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"rainfall_chirps": {
|
| 96 |
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"valid_pixels": 262144,
|
| 97 |
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"min": 0.0,
|
| 98 |
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"max": 0.0,
|
| 99 |
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"mean": 0.0,
|
| 100 |
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"median": 0.0,
|
| 101 |
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"p90": 0.0
|
| 102 |
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},
|
| 103 |
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"land_cover_worldcover": {
|
| 104 |
+
"valid_pixels": 0
|
| 105 |
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},
|
| 106 |
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"population_worldpop": {
|
| 107 |
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"valid_pixels": 262144,
|
| 108 |
+
"min": 0.35,
|
| 109 |
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"max": 9.274,
|
| 110 |
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"mean": 2.255,
|
| 111 |
+
"median": 1.9637,
|
| 112 |
+
"p90": 5.0611
|
| 113 |
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},
|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
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},
|
| 117 |
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"jrc_gsw_seasonality": {
|
| 118 |
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"valid_pixels": 0
|
| 119 |
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},
|
| 120 |
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"jrc_gsw_transitions": {
|
| 121 |
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"valid_pixels": 0
|
| 122 |
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},
|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
+
"valid_pixels": 0
|
| 125 |
+
}
|
| 126 |
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},
|
| 127 |
+
"osm_counts": {
|
| 128 |
+
"health_facilities": 1,
|
| 129 |
+
"major_roads": 351,
|
| 130 |
+
"schools_waterpoints": 16,
|
| 131 |
+
"urban_landuse": 5783,
|
| 132 |
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"water_surface": 0,
|
| 133 |
+
"waterways": 4
|
| 134 |
+
},
|
| 135 |
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"label_counts": {
|
| 136 |
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"vector_label": 0,
|
| 137 |
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"disease_label": 0,
|
| 138 |
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"intermediate_host_label": 0,
|
| 139 |
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"disease_aggregate": 0
|
| 140 |
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}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "hard_or_ecological_negative",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "hard_negative_water_urban",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0099_hard_negative_water_urban_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0099_hard_negative_water_urban",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
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"chip_size_km": 5.0,
|
| 14 |
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"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.60440293779427,
|
| 17 |
+
"lat": 9.477314794950477
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
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|
| 21 |
+
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|
| 22 |
+
-5.581608777226015,
|
| 23 |
+
9.499797835098445
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0099_hard_negative_water_urban_packet.png",
|
| 33 |
+
"sha256": "69bffb70a516e569a0de8ce5ce5d1e4ddd167369322a73034ef11899ba9c5fe0",
|
| 34 |
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"width": 1024,
|
| 35 |
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"height": 1024
|
| 36 |
+
},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0099_hard_negative_water_urban",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0099_hard_negative_water_urban/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0099_hard_negative_water_urban/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0099_hard_negative_water_urban/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0099_hard_negative_water_urban/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0099_hard_negative_water_urban/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0099_hard_negative_water_urban/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
+
"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
+
"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
+
"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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"sampling_strategy": "hard_negative_water_urban",
|
| 90 |
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"packet_std": 68.7298,
|
| 91 |
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|
| 92 |
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},
|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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},
|
| 103 |
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"land_cover_worldcover": {
|
| 104 |
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|
| 105 |
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},
|
| 106 |
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"population_worldpop": {
|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
+
},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
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|
| 119 |
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|
| 120 |
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"jrc_gsw_transitions": {
|
| 121 |
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|
| 122 |
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},
|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
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|
| 125 |
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}
|
| 126 |
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},
|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
+
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|
| 134 |
+
},
|
| 135 |
+
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "hard_or_ecological_negative",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "hard_negative_water_urban",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0101_hard_negative_water_urban_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0101_hard_negative_water_urban",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.603313081079872,
|
| 17 |
+
"lat": 9.455558025503512
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
-5.626105798460972,
|
| 21 |
+
9.433074985355544,
|
| 22 |
+
-5.5805203636987715,
|
| 23 |
+
9.47804106565148
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0101_hard_negative_water_urban_packet.png",
|
| 33 |
+
"sha256": "c31e38147e0221a3eaf8de7baea2d65190e8231a901b72145475f4b6471826cf",
|
| 34 |
+
"width": 1024,
|
| 35 |
+
"height": 1024
|
| 36 |
+
},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0101_hard_negative_water_urban",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0101_hard_negative_water_urban/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0101_hard_negative_water_urban/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0101_hard_negative_water_urban/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0101_hard_negative_water_urban/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0101_hard_negative_water_urban/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0101_hard_negative_water_urban/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
+
"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
+
"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
+
"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
+
"mapbox_available": true,
|
| 84 |
+
"sentinel_cloud_cover_percent": 0,
|
| 85 |
+
"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
+
"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
+
"sampling_strategy": "hard_negative_water_urban",
|
| 90 |
+
"packet_std": 67.2086,
|
| 91 |
+
"repair_attempts": 0
|
| 92 |
+
},
|
| 93 |
+
"numeric_features": {
|
| 94 |
+
"raster_stats": {
|
| 95 |
+
"rainfall_chirps": {
|
| 96 |
+
"valid_pixels": 262144,
|
| 97 |
+
"min": 0.0,
|
| 98 |
+
"max": 0.0,
|
| 99 |
+
"mean": 0.0,
|
| 100 |
+
"median": 0.0,
|
| 101 |
+
"p90": 0.0
|
| 102 |
+
},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
+
"valid_pixels": 0
|
| 105 |
+
},
|
| 106 |
+
"population_worldpop": {
|
| 107 |
+
"valid_pixels": 262144,
|
| 108 |
+
"min": 1.7645,
|
| 109 |
+
"max": 28.639,
|
| 110 |
+
"mean": 12.1726,
|
| 111 |
+
"median": 11.8959,
|
| 112 |
+
"p90": 23.9299
|
| 113 |
+
},
|
| 114 |
+
"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
+
},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
+
"valid_pixels": 0
|
| 119 |
+
},
|
| 120 |
+
"jrc_gsw_transitions": {
|
| 121 |
+
"valid_pixels": 0
|
| 122 |
+
},
|
| 123 |
+
"jrc_gsw_extent": {
|
| 124 |
+
"valid_pixels": 0
|
| 125 |
+
}
|
| 126 |
+
},
|
| 127 |
+
"osm_counts": {
|
| 128 |
+
"health_facilities": 11,
|
| 129 |
+
"major_roads": 849,
|
| 130 |
+
"schools_waterpoints": 72,
|
| 131 |
+
"urban_landuse": 26812,
|
| 132 |
+
"water_surface": 0,
|
| 133 |
+
"waterways": 19
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
+
"vector_label": 0,
|
| 137 |
+
"disease_label": 0,
|
| 138 |
+
"intermediate_host_label": 0,
|
| 139 |
+
"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "hard_or_ecological_negative",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "hard_negative_water_urban",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0102_hard_negative_water_urban_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0102_hard_negative_water_urban",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.60258449654374,
|
| 17 |
+
"lat": 9.477169052006582
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
-5.625378647432916,
|
| 21 |
+
9.454686011858614,
|
| 22 |
+
-5.579790345654564,
|
| 23 |
+
9.49965209215455
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0102_hard_negative_water_urban_packet.png",
|
| 33 |
+
"sha256": "5a21935e69654d641c15ed86e797c434be9a485d02bc50fa4f1434a1d856862c",
|
| 34 |
+
"width": 1024,
|
| 35 |
+
"height": 1024
|
| 36 |
+
},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0102_hard_negative_water_urban",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0102_hard_negative_water_urban/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0102_hard_negative_water_urban/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0102_hard_negative_water_urban/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0102_hard_negative_water_urban/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0102_hard_negative_water_urban/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0102_hard_negative_water_urban/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
+
"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
+
"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
+
"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
+
"mapbox_available": true,
|
| 84 |
+
"sentinel_cloud_cover_percent": 0,
|
| 85 |
+
"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
+
"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
+
"sampling_strategy": "hard_negative_water_urban",
|
| 90 |
+
"packet_std": 68.72,
|
| 91 |
+
"repair_attempts": 0
|
| 92 |
+
},
|
| 93 |
+
"numeric_features": {
|
| 94 |
+
"raster_stats": {
|
| 95 |
+
"rainfall_chirps": {
|
| 96 |
+
"valid_pixels": 262144,
|
| 97 |
+
"min": 0.0,
|
| 98 |
+
"max": 0.0,
|
| 99 |
+
"mean": 0.0,
|
| 100 |
+
"median": 0.0,
|
| 101 |
+
"p90": 0.0
|
| 102 |
+
},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
+
"valid_pixels": 0
|
| 105 |
+
},
|
| 106 |
+
"population_worldpop": {
|
| 107 |
+
"valid_pixels": 258146,
|
| 108 |
+
"min": 1.1687,
|
| 109 |
+
"max": 28.6375,
|
| 110 |
+
"mean": 8.9136,
|
| 111 |
+
"median": 6.3059,
|
| 112 |
+
"p90": 19.3108
|
| 113 |
+
},
|
| 114 |
+
"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
+
},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
+
"valid_pixels": 0
|
| 119 |
+
},
|
| 120 |
+
"jrc_gsw_transitions": {
|
| 121 |
+
"valid_pixels": 0
|
| 122 |
+
},
|
| 123 |
+
"jrc_gsw_extent": {
|
| 124 |
+
"valid_pixels": 0
|
| 125 |
+
}
|
| 126 |
+
},
|
| 127 |
+
"osm_counts": {
|
| 128 |
+
"health_facilities": 7,
|
| 129 |
+
"major_roads": 779,
|
| 130 |
+
"schools_waterpoints": 71,
|
| 131 |
+
"urban_landuse": 17155,
|
| 132 |
+
"water_surface": 0,
|
| 133 |
+
"waterways": 3
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
+
"vector_label": 0,
|
| 137 |
+
"disease_label": 0,
|
| 138 |
+
"intermediate_host_label": 0,
|
| 139 |
+
"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "hard_or_ecological_negative",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "hard_negative_water_urban",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0104_hard_negative_water_urban_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
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|
|
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|
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|
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|
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|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0104_hard_negative_water_urban",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.594951099940702,
|
| 17 |
+
"lat": 9.484376522294143
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
-5.6177457296788695,
|
| 21 |
+
9.461893482146175,
|
| 22 |
+
-5.572156470202534,
|
| 23 |
+
9.506859562442111
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0104_hard_negative_water_urban_packet.png",
|
| 33 |
+
"sha256": "a25ce293dcc275639e63524b82c09d52cfb21dc14aa930e64bbe3e98169a46b4",
|
| 34 |
+
"width": 1024,
|
| 35 |
+
"height": 1024
|
| 36 |
+
},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0104_hard_negative_water_urban",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0104_hard_negative_water_urban/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0104_hard_negative_water_urban/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0104_hard_negative_water_urban/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0104_hard_negative_water_urban/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0104_hard_negative_water_urban/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0104_hard_negative_water_urban/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
+
"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
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"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
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"quality": {
|
| 81 |
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"evidence_packet_available": true,
|
| 82 |
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"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
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"mapbox_target_visible": true,
|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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"sampling_strategy": "hard_negative_water_urban",
|
| 90 |
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"packet_std": 68.3738,
|
| 91 |
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"repair_attempts": 0
|
| 92 |
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},
|
| 93 |
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"numeric_features": {
|
| 94 |
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"raster_stats": {
|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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"median": 0.0,
|
| 101 |
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"p90": 0.0
|
| 102 |
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},
|
| 103 |
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"land_cover_worldcover": {
|
| 104 |
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"valid_pixels": 0
|
| 105 |
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},
|
| 106 |
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"population_worldpop": {
|
| 107 |
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"valid_pixels": 262011,
|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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"p90": 15.7649
|
| 113 |
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|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
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"valid_pixels": 0
|
| 116 |
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},
|
| 117 |
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"jrc_gsw_seasonality": {
|
| 118 |
+
"valid_pixels": 0
|
| 119 |
+
},
|
| 120 |
+
"jrc_gsw_transitions": {
|
| 121 |
+
"valid_pixels": 0
|
| 122 |
+
},
|
| 123 |
+
"jrc_gsw_extent": {
|
| 124 |
+
"valid_pixels": 0
|
| 125 |
+
}
|
| 126 |
+
},
|
| 127 |
+
"osm_counts": {
|
| 128 |
+
"health_facilities": 5,
|
| 129 |
+
"major_roads": 584,
|
| 130 |
+
"schools_waterpoints": 48,
|
| 131 |
+
"urban_landuse": 11639,
|
| 132 |
+
"water_surface": 0,
|
| 133 |
+
"waterways": 0
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
+
"vector_label": 0,
|
| 137 |
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"disease_label": 0,
|
| 138 |
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"intermediate_host_label": 0,
|
| 139 |
+
"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "hard_or_ecological_negative",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "hard_negative_water_urban",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0107_hard_negative_water_urban_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
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|
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|
|
|
|
|
|
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|
|
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|
|
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|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0107_hard_negative_water_urban",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
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"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
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"chip_size_km": 5.0,
|
| 14 |
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"pixels": 512,
|
| 15 |
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"center": {
|
| 16 |
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"lon": -5.63810408864112,
|
| 17 |
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"lat": 9.487433491772359
|
| 18 |
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},
|
| 19 |
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"bbox": [
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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],
|
| 25 |
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"panel_order": [
|
| 26 |
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"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
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"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0107_hard_negative_water_urban_packet.png",
|
| 33 |
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"sha256": "6270e66519cdedc495936dad6c1006b83bc635229ddbc68d882a031da9382134",
|
| 34 |
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"width": 1024,
|
| 35 |
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"height": 1024
|
| 36 |
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},
|
| 37 |
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"source_assets": {
|
| 38 |
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"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
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"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0107_hard_negative_water_urban",
|
| 40 |
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"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0107_hard_negative_water_urban/sentinel_rgb.png",
|
| 41 |
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"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0107_hard_negative_water_urban/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0107_hard_negative_water_urban/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0107_hard_negative_water_urban/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0107_hard_negative_water_urban/mapbox_satellite.png",
|
| 45 |
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|
| 46 |
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"source_layers": {
|
| 47 |
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"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
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"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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},
|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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},
|
| 64 |
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"labels": {
|
| 65 |
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"gbif_vector": [
|
| 66 |
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|
| 67 |
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],
|
| 68 |
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"map_disease": [
|
| 69 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
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],
|
| 72 |
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"map_vector": [
|
| 73 |
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|
| 74 |
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]
|
| 75 |
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}
|
| 76 |
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},
|
| 77 |
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"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
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"simsat_provider_repo": "SimSat"
|
| 79 |
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},
|
| 80 |
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"quality": {
|
| 81 |
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"evidence_packet_available": true,
|
| 82 |
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"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
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|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 97 |
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| 98 |
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| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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| 105 |
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| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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"label_quality": {
|
| 143 |
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"tier": "hard_or_ecological_negative",
|
| 144 |
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"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
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},
|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
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"weak_labels": "presence_and_survey_biased"
|
| 151 |
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},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "hard_negative_water_urban",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0108_hard_negative_water_urban_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
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|
|
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|
|
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|
|
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|
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
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"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
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"chip_id": "korhogo_malaria_s0108_hard_negative_water_urban",
|
| 6 |
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"aoi_id": "korhogo_malaria",
|
| 7 |
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"split": "test",
|
| 8 |
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"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
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"primary_disease": "malaria",
|
| 10 |
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"country": "Cote d'Ivoire",
|
| 11 |
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"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
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"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
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|
| 14 |
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"pixels": 512,
|
| 15 |
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"center": {
|
| 16 |
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|
| 17 |
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"lat": 9.478549228910078
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
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"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
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"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
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"path": "image_packets/korhogo_malaria/korhogo_malaria_s0108_hard_negative_water_urban_packet.png",
|
| 33 |
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"sha256": "ff7cce9699f05f8aeaf5a0926eca1a4cd28e8ee33c42d7c8bb668fe0293d7855",
|
| 34 |
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"width": 1024,
|
| 35 |
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|
| 36 |
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},
|
| 37 |
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"source_assets": {
|
| 38 |
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"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
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"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0108_hard_negative_water_urban",
|
| 40 |
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"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0108_hard_negative_water_urban/sentinel_rgb.png",
|
| 41 |
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"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0108_hard_negative_water_urban/sentinel_false_color_nir_red_green.png",
|
| 42 |
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"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0108_hard_negative_water_urban/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0108_hard_negative_water_urban/sentinel_metadata.json",
|
| 44 |
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"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0108_hard_negative_water_urban/mapbox_satellite.png",
|
| 45 |
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"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0108_hard_negative_water_urban/mapbox_metadata.json",
|
| 46 |
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"source_layers": {
|
| 47 |
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|
| 48 |
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|
| 49 |
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"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
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"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
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| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
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| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
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| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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},
|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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},
|
| 64 |
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"labels": {
|
| 65 |
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"gbif_vector": [
|
| 66 |
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"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
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"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
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"map_vector": [
|
| 73 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
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}
|
| 76 |
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},
|
| 77 |
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"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
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"simsat_provider_repo": "SimSat"
|
| 79 |
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},
|
| 80 |
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"quality": {
|
| 81 |
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"evidence_packet_available": true,
|
| 82 |
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"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
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"mapbox_target_visible": true,
|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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"sampling_strategy": "hard_negative_water_urban",
|
| 90 |
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"packet_std": 65.9865,
|
| 91 |
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|
| 92 |
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},
|
| 93 |
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"numeric_features": {
|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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"median": 0.0,
|
| 101 |
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"p90": 0.0
|
| 102 |
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},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
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|
| 105 |
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},
|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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"median": 2.2817,
|
| 112 |
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|
| 113 |
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},
|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
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|
| 116 |
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},
|
| 117 |
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"jrc_gsw_seasonality": {
|
| 118 |
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|
| 119 |
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},
|
| 120 |
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"jrc_gsw_transitions": {
|
| 121 |
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"valid_pixels": 0
|
| 122 |
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},
|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
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|
| 125 |
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|
| 126 |
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},
|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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"waterways": 2
|
| 134 |
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},
|
| 135 |
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"label_counts": {
|
| 136 |
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"vector_label": 0,
|
| 137 |
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|
| 138 |
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"intermediate_host_label": 0,
|
| 139 |
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"disease_aggregate": 0
|
| 140 |
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}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "hard_or_ecological_negative",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
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},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
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"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
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"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
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"weak_labels": "presence_and_survey_biased"
|
| 151 |
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},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "hard_negative_water_urban",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0111_hard_negative_water_urban_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0111_hard_negative_water_urban",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
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"pixels": 512,
|
| 15 |
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"center": {
|
| 16 |
+
"lon": -5.5978080025113535,
|
| 17 |
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"lat": 9.445550924150467
|
| 18 |
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},
|
| 19 |
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"bbox": [
|
| 20 |
+
-5.620600057258287,
|
| 21 |
+
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|
| 22 |
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-5.57501594776442,
|
| 23 |
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9.468033964298435
|
| 24 |
+
],
|
| 25 |
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"panel_order": [
|
| 26 |
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"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
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"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0111_hard_negative_water_urban_packet.png",
|
| 33 |
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"sha256": "83255fe29cbb2e45cf877f67af03d44b2635335f79fcf090491eb9d091a9dc36",
|
| 34 |
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"width": 1024,
|
| 35 |
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"height": 1024
|
| 36 |
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},
|
| 37 |
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"source_assets": {
|
| 38 |
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"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
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"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0111_hard_negative_water_urban",
|
| 40 |
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"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0111_hard_negative_water_urban/sentinel_rgb.png",
|
| 41 |
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"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0111_hard_negative_water_urban/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0111_hard_negative_water_urban/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0111_hard_negative_water_urban/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0111_hard_negative_water_urban/mapbox_satellite.png",
|
| 45 |
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"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0111_hard_negative_water_urban/mapbox_metadata.json",
|
| 46 |
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"source_layers": {
|
| 47 |
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"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
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"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
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"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
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"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
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},
|
| 56 |
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"osm": {
|
| 57 |
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"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
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"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
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"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
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"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
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"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
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"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
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},
|
| 64 |
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"labels": {
|
| 65 |
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"gbif_vector": [
|
| 66 |
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"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
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"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
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| 87 |
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"mapbox_target_visible": true,
|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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"sampling_strategy": "hard_negative_water_urban",
|
| 90 |
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"packet_std": 67.3642,
|
| 91 |
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|
| 92 |
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|
| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 97 |
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| 98 |
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| 99 |
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|
| 100 |
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|
| 101 |
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"p90": 0.0
|
| 102 |
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|
| 103 |
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"land_cover_worldcover": {
|
| 104 |
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|
| 105 |
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| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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"median": 7.8807,
|
| 112 |
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|
| 113 |
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|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
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"valid_pixels": 0
|
| 116 |
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|
| 117 |
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"jrc_gsw_seasonality": {
|
| 118 |
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|
| 119 |
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|
| 120 |
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"jrc_gsw_transitions": {
|
| 121 |
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"valid_pixels": 0
|
| 122 |
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|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
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"valid_pixels": 0
|
| 125 |
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}
|
| 126 |
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},
|
| 127 |
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"osm_counts": {
|
| 128 |
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"health_facilities": 8,
|
| 129 |
+
"major_roads": 680,
|
| 130 |
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"schools_waterpoints": 59,
|
| 131 |
+
"urban_landuse": 23603,
|
| 132 |
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"water_surface": 0,
|
| 133 |
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"waterways": 22
|
| 134 |
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},
|
| 135 |
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"label_counts": {
|
| 136 |
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"vector_label": 0,
|
| 137 |
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|
| 138 |
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|
| 139 |
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"disease_aggregate": 0
|
| 140 |
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}
|
| 141 |
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},
|
| 142 |
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"label_quality": {
|
| 143 |
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"tier": "hard_or_ecological_negative",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
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"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "hard_negative_water_urban",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0112_hard_negative_water_urban_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0112_hard_negative_water_urban",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
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"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
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"chip_size_km": 5.0,
|
| 14 |
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"pixels": 512,
|
| 15 |
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"center": {
|
| 16 |
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"lon": -5.612673376004341,
|
| 17 |
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"lat": 9.524427192664492
|
| 18 |
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},
|
| 19 |
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"bbox": [
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
+
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|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0112_hard_negative_water_urban_packet.png",
|
| 33 |
+
"sha256": "5cfb890b26ae435cea2d7c9255bd925510383039284623da6891073a0dddc925",
|
| 34 |
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"width": 1024,
|
| 35 |
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"height": 1024
|
| 36 |
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},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0112_hard_negative_water_urban",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0112_hard_negative_water_urban/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0112_hard_negative_water_urban/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0112_hard_negative_water_urban/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0112_hard_negative_water_urban/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0112_hard_negative_water_urban/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0112_hard_negative_water_urban/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
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"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
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"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
+
"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
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}
|
| 76 |
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},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
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},
|
| 80 |
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"quality": {
|
| 81 |
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"evidence_packet_available": true,
|
| 82 |
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"sentinel_available": true,
|
| 83 |
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"mapbox_available": true,
|
| 84 |
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"sentinel_cloud_cover_percent": 0,
|
| 85 |
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"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
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"sentinel_source": "sentinel-2b",
|
| 87 |
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"mapbox_target_visible": true,
|
| 88 |
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"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
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"sampling_strategy": "hard_negative_water_urban",
|
| 90 |
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"packet_std": 64.5398,
|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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"land_cover_worldcover": {
|
| 104 |
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|
| 105 |
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|
| 106 |
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"population_worldpop": {
|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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"jrc_gsw_occurrence": {
|
| 115 |
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|
| 116 |
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},
|
| 117 |
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"jrc_gsw_seasonality": {
|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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"jrc_gsw_extent": {
|
| 124 |
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|
| 125 |
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}
|
| 126 |
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},
|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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},
|
| 135 |
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"label_counts": {
|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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}
|
| 141 |
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},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "hard_or_ecological_negative",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "hard_negative_water_urban",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|
sidecars/korhogo_malaria/korhogo_malaria_s0114_hard_negative_water_urban_sidecar.json
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"schema_version": "vectoros-chip-sidecar-v0.2",
|
| 3 |
+
"packet_schema_version": "vectoros-simsat-mapbox-packet-v0.1",
|
| 4 |
+
"run_id": "vectoros_vector_100k_simsat_20260506",
|
| 5 |
+
"chip_id": "korhogo_malaria_s0114_hard_negative_water_urban",
|
| 6 |
+
"aoi_id": "korhogo_malaria",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"disease_module": "mosquito_anopheles_malaria",
|
| 9 |
+
"primary_disease": "malaria",
|
| 10 |
+
"country": "Cote d'Ivoire",
|
| 11 |
+
"name": "Korhogo, Cote d'Ivoire",
|
| 12 |
+
"timestamp": "2025-12-31T12:00:00Z",
|
| 13 |
+
"chip_size_km": 5.0,
|
| 14 |
+
"pixels": 512,
|
| 15 |
+
"center": {
|
| 16 |
+
"lon": -5.6525967627619655,
|
| 17 |
+
"lat": 9.46952271294658
|
| 18 |
+
},
|
| 19 |
+
"bbox": [
|
| 20 |
+
-5.67539040606093,
|
| 21 |
+
9.447039672798612,
|
| 22 |
+
-5.629803119463001,
|
| 23 |
+
9.492005753094547
|
| 24 |
+
],
|
| 25 |
+
"panel_order": [
|
| 26 |
+
"top_left: SimSat Sentinel-2 true-color RGB",
|
| 27 |
+
"top_right: SimSat Sentinel-2 false color NIR-red-green",
|
| 28 |
+
"bottom_left: Mapbox satellite context",
|
| 29 |
+
"bottom_right: aligned evidence overlay from ESA WorldCover, JRC water, CHIRPS rainfall, WorldPop, OSM, and weak labels"
|
| 30 |
+
],
|
| 31 |
+
"image_packet": {
|
| 32 |
+
"path": "image_packets/korhogo_malaria/korhogo_malaria_s0114_hard_negative_water_urban_packet.png",
|
| 33 |
+
"sha256": "04f09d894142fd1925ee3c25b3f6eaee12d52edfdc1ae9294a1c9d660beb8f78",
|
| 34 |
+
"width": 1024,
|
| 35 |
+
"height": 1024
|
| 36 |
+
},
|
| 37 |
+
"source_assets": {
|
| 38 |
+
"packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 39 |
+
"simsat_raw_dir": "simsat_raw/korhogo_malaria/korhogo_malaria_s0114_hard_negative_water_urban",
|
| 40 |
+
"sentinel_rgb": "simsat_raw/korhogo_malaria/korhogo_malaria_s0114_hard_negative_water_urban/sentinel_rgb.png",
|
| 41 |
+
"sentinel_false_color": "simsat_raw/korhogo_malaria/korhogo_malaria_s0114_hard_negative_water_urban/sentinel_false_color_nir_red_green.png",
|
| 42 |
+
"sentinel_bands": "simsat_raw/korhogo_malaria/korhogo_malaria_s0114_hard_negative_water_urban/sentinel_bands_red_green_blue_nir.npz",
|
| 43 |
+
"sentinel_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0114_hard_negative_water_urban/sentinel_metadata.json",
|
| 44 |
+
"mapbox_satellite": "simsat_raw/korhogo_malaria/korhogo_malaria_s0114_hard_negative_water_urban/mapbox_satellite.png",
|
| 45 |
+
"mapbox_metadata": "simsat_raw/korhogo_malaria/korhogo_malaria_s0114_hard_negative_water_urban/mapbox_metadata.json",
|
| 46 |
+
"source_layers": {
|
| 47 |
+
"rainfall_chirps": "data/raw/chirps/daily_v2_p05/2025/chirps-v2.0.2025.12.31.tif.gz",
|
| 48 |
+
"land_cover_worldcover": "data/raw/esa_worldcover/korhogo_cote_divoire/korhogo_worldcover_2021_v200_map.tif",
|
| 49 |
+
"population_worldpop": "data/raw/worldpop/korhogo_cote_divoire/korhogo_worldpop_2020_100m_arcgis.tif",
|
| 50 |
+
"jrc_gsw": {
|
| 51 |
+
"occurrence": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_occurrence_v1_4_2021.tif",
|
| 52 |
+
"seasonality": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_seasonality_v1_4_2021.tif",
|
| 53 |
+
"transitions": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_transitions_v1_4_2021.tif",
|
| 54 |
+
"extent": "data/raw/jrc_gsw/korhogo_cote_divoire/korhogo_gsw_extent_v1_4_2021.tif"
|
| 55 |
+
},
|
| 56 |
+
"osm": {
|
| 57 |
+
"health_facilities": "data/raw/osm/korhogo_cote_divoire/osm_health_facilities_korhogo.overpass.json",
|
| 58 |
+
"major_roads": "data/raw/osm/korhogo_cote_divoire/osm_major_roads_korhogo.overpass.json",
|
| 59 |
+
"schools_waterpoints": "data/raw/osm/korhogo_cote_divoire/osm_schools_waterpoints_korhogo.overpass.json",
|
| 60 |
+
"urban_landuse": "data/raw/osm/korhogo_cote_divoire/osm_urban_landuse_korhogo.overpass.json",
|
| 61 |
+
"water_surface": "data/raw/osm/korhogo_cote_divoire/osm_water_surface_korhogo.overpass.json",
|
| 62 |
+
"waterways": "data/raw/osm/korhogo_cote_divoire/osm_waterways_korhogo.overpass.json"
|
| 63 |
+
},
|
| 64 |
+
"labels": {
|
| 65 |
+
"gbif_vector": [
|
| 66 |
+
"data/raw/map_gbif/korhogo_cote_divoire/gbif_anopheles_korhogo_occurrences.csv"
|
| 67 |
+
],
|
| 68 |
+
"map_disease": [
|
| 69 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pf_pr_202406_korhogo.geojson",
|
| 70 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_pv_pr_202406_korhogo.geojson"
|
| 71 |
+
],
|
| 72 |
+
"map_vector": [
|
| 73 |
+
"data/raw/map_malariaatlas/korhogo_cote_divoire/map_dominant_vector_surveys_201201_korhogo.geojson"
|
| 74 |
+
]
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"aoi_manifest": "data/manifests/korhogo_malaria_manifest.md",
|
| 78 |
+
"simsat_provider_repo": "SimSat"
|
| 79 |
+
},
|
| 80 |
+
"quality": {
|
| 81 |
+
"evidence_packet_available": true,
|
| 82 |
+
"sentinel_available": true,
|
| 83 |
+
"mapbox_available": true,
|
| 84 |
+
"sentinel_cloud_cover_percent": 0,
|
| 85 |
+
"sentinel_datetime": "2025-12-22T10:58:35Z",
|
| 86 |
+
"sentinel_source": "sentinel-2b",
|
| 87 |
+
"mapbox_target_visible": true,
|
| 88 |
+
"source_packet_type": "simsat_sentinel2_mapbox_plus_open_layer_evidence_packet",
|
| 89 |
+
"sampling_strategy": "hard_negative_water_urban",
|
| 90 |
+
"packet_std": 68.4461,
|
| 91 |
+
"repair_attempts": 0
|
| 92 |
+
},
|
| 93 |
+
"numeric_features": {
|
| 94 |
+
"raster_stats": {
|
| 95 |
+
"rainfall_chirps": {
|
| 96 |
+
"valid_pixels": 262144,
|
| 97 |
+
"min": 0.0,
|
| 98 |
+
"max": 0.0,
|
| 99 |
+
"mean": 0.0,
|
| 100 |
+
"median": 0.0,
|
| 101 |
+
"p90": 0.0
|
| 102 |
+
},
|
| 103 |
+
"land_cover_worldcover": {
|
| 104 |
+
"valid_pixels": 0
|
| 105 |
+
},
|
| 106 |
+
"population_worldpop": {
|
| 107 |
+
"valid_pixels": 257322,
|
| 108 |
+
"min": 3.9144,
|
| 109 |
+
"max": 30.9746,
|
| 110 |
+
"mean": 16.5806,
|
| 111 |
+
"median": 17.7104,
|
| 112 |
+
"p90": 26.5091
|
| 113 |
+
},
|
| 114 |
+
"jrc_gsw_occurrence": {
|
| 115 |
+
"valid_pixels": 0
|
| 116 |
+
},
|
| 117 |
+
"jrc_gsw_seasonality": {
|
| 118 |
+
"valid_pixels": 0
|
| 119 |
+
},
|
| 120 |
+
"jrc_gsw_transitions": {
|
| 121 |
+
"valid_pixels": 0
|
| 122 |
+
},
|
| 123 |
+
"jrc_gsw_extent": {
|
| 124 |
+
"valid_pixels": 0
|
| 125 |
+
}
|
| 126 |
+
},
|
| 127 |
+
"osm_counts": {
|
| 128 |
+
"health_facilities": 26,
|
| 129 |
+
"major_roads": 971,
|
| 130 |
+
"schools_waterpoints": 142,
|
| 131 |
+
"urban_landuse": 29167,
|
| 132 |
+
"water_surface": 4,
|
| 133 |
+
"waterways": 11
|
| 134 |
+
},
|
| 135 |
+
"label_counts": {
|
| 136 |
+
"vector_label": 2,
|
| 137 |
+
"disease_label": 12,
|
| 138 |
+
"intermediate_host_label": 0,
|
| 139 |
+
"disease_aggregate": 0
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
"label_quality": {
|
| 143 |
+
"tier": "weak_label_positive",
|
| 144 |
+
"description": "Presence-only/vector/surveillance labels and ecological proxies; suitable for weak-supervision SFT, not calibrated epidemiological probability."
|
| 145 |
+
},
|
| 146 |
+
"license_flags": {
|
| 147 |
+
"mapbox_redistribution": "user_verified_for_project_use",
|
| 148 |
+
"sentinel_2": "copernicus_sentinel_open_data",
|
| 149 |
+
"open_data_layers": "source_specific_open_terms_apply",
|
| 150 |
+
"weak_labels": "presence_and_survey_biased"
|
| 151 |
+
},
|
| 152 |
+
"sampling": {
|
| 153 |
+
"sample_type": "hard_negative_water_urban",
|
| 154 |
+
"sampler_version": "stratified-v0.1"
|
| 155 |
+
}
|
| 156 |
+
}
|