---
license: CC-BY-SA-4.0
pretty_name: "TerraMesh"
dataset info:
- size: "~14TB (compressed)"
- samples: "≈9.1M train / 89k val"
- patch size: "264x264 pixel"
- temporal coverage: "2017→2024"
---
# TerraMesh

> **A planetary‑scale, multimodal analysis‑ready dataset for Earth‑Observation foundation models.**


**TerraMesh** merges data from **Sentinel‑1 SAR, Sentinel‑2 optical, Copernicus DEM, NDVI and land‑cover** sources into more than **9 million co‑registered patches** ready for large‑scale representation learning. Compared with earlier public corpora it offers **>20×** more pixel values and truly global, multi‑season coverage.

> ** Dataset release – End of June. **

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## Key features

| Aspect     | Value                                                                                                                          |
| ---------- |--------------------------------------------------------------------------------------------------------------------------------|
| Modalities | S‑2 L1C (13 bands), S‑2 L2A (12 bands), S‑2 RGB (3 bands), S‑1 GRD (VV, VH), S‑1 RTC (VV, VH), NDVI, Copernicus DEM, ESRI LULC |
| Samples    | **9 089 536** train · **89 088** val                                                                                           |
| Patch size | 264 × 264 pixel (10 m grid)                                                                                                    |
| Years      | 2017 – 2024 (peak 2019 ‑ 2023)                                                                                                 |
| License    | CC‑BY‑SA‑4.0                                                                                                                   |

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## Dataset organisation

The archive ships two top‑level splits `train/` and `val/`, each holding one folder per modality. More details with the dataset release end of June.

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## Global coverage & class distribution

![one_degree_map.png](assets%2Fone_degree_map.png)![timestamps.png](assets%2Ftimestamps.png)

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## Performance evaluation

[radar.pdf](assets%2Fradar.pdf)


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## Citation

If you use TerraMesh, please cite:

```bibtex
@article{blumenstiel2025terramesh,
  title={Terramesh: A planetary mosaic of multimodal earth observation data},
  author={Blumenstiel, Benedikt and Fraccaro, Paolo and Marsocci, Valerio and Jakubik, Johannes and Maurogiovanni, Stefano and Czerkawski, Mikolaj and Sedona, Rocco and Cavallaro, Gabriele and Brunschwiler, Thomas and Bernabe-Moreno, Juan and others},
  journal={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
  year={2025}
}
```

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## License

TerraMesh is released under the **Creative Commons Attribution‑ShareAlike 4.0 (CC‑BY‑SA‑4.0)** license.

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## Acknowledgements

TerraMesh is part of the **FAST‑EO** project funded by the European Space Agency Φ‑Lab (contract #4000143501/23/I‑DT) and builds upon SSL4EO‑S12 and MajorTOM‑Core datasets.

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