{
  "schema_id": "ThermalHotspot",
  "version": "0.1",
  "description": "Detect new thermal anomalies — wildfire burn scars, active fire fronts, or industrial heat signatures — emerging between before/after Sentinel-2 tiles via SWIR false-colour reasoning.",
  "class_match": "WF",
  "bands_required": ["B08", "B11", "B12"],
  "band_rationale": "SWIR2+SWIR1+NIR false-colour (B12/B11/B08) shows burned area as red/pink vs healthy vegetation as green.",
  "predicate": "Has a new thermal anomaly — such as a wildfire burn scar, active fire, or industrial heat signature — emerged or expanded between the before and after tiles?",
  "fields": {
    "severity": {"type": "enum", "values": ["low", "moderate", "high", "extreme"]},
    "area_fraction": {"type": "number", "range": [0.0, 1.0], "description": "Fraction of the scene affected"},
    "plume_direction": {"type": "string", "nullable": true, "description": "Compass direction of visible smoke plume, or null if none."},
    "vlm_explanation": {"type": "string", "description": "One-sentence natural-language description of the detected change."},
    "confidence": {"type": "number", "range": [0.0, 1.0]}
  },
  "negative_output": null,
  "negative_instruction": "If no such anomaly is present, return null for the event payload."
}