OlmoEarth v1.3 releases global satellite embeddings and an explorer
- OlmoEarth v1.3 arrives with precomputed annual satellite embeddings for the planet at 10-meter resolution, offered in 64- and 128-dimensional forms.
- The model turns yearly radar observations from Sentinel-1 and multispectral data from Sentinel-2 and Landsat into a vector for each 10-meter pixel.
- Across 27 evaluations spanning six continents, the 128-dimensional embeddings led on 20 evaluations, while the 64-dimensional version led on 18.
- The browser-based Explorer supports year-to-year comparisons, similarity searches, classifiers trained from labeled points, and GeoTIFF export; its 2023–2025 archive is global, while 2017–2022 coverage is limited to selected countries.
Our take
Compared with the earlier Studio-centered workflow, reusable embeddings let teams prototype with small local classifiers before committing to GPU-based fine-tuning. The archive’s roughly 150 TB per year and uneven historical coverage create real storage and data-availability constraints, so teams should validate performance on their own regions before relying on it in production.
Sources
- OlmoEarth v1.3: State-of-the-art embeddings for the whole planet · Hugging Face Blog
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