CROMA
Creates embeddings from paired radar and optical satellite imagery.
- Field
- Remote sensing
- Method
- Foundation model
- Data it takes
- imagery
- License
- MIT
CROMA was pretrained on paired Sentinel-1 and Sentinel-2 imagery, learning the relationship between radar and optical views of the same ground. It returns embeddings.
Radar penetrates cloud; optical carries spectral detail. A model trained on both can draw on whichever is available for a given scene.
Runs on CPU.
Catalog entry last checked 2026-08-18. All models →
Run CROMA on your data
The lab runs this on its own compute, in a container, with the inputs and parameters recorded alongside the result. Initial scoping conversations are free.
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