Datasets:
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. **
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 |
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.
Global coverage & class distribution
Performance evaluation
Citation
If you use TerraMesh, please cite:
@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}
}
License
TerraMesh is released under the Creative Commons Attribution‑ShareAlike 4.0 (CC‑BY‑SA‑4.0) license.
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.