OlmoEarth v1.3: State-of-the-art embeddings for the whole planet

OlmoEarth v1.3 is a new satellite embedding model that reads a year of Sentinel-1, Sentinel-2 and Landsat time series to produce one 128-dimensional vector per 10-meter pixel, with the first 64 dimensions usable as a smaller embedding. Precomputed annual global embeddings are shared on Source Cooperative, and a browser-based OlmoEarth Embeddings Explorer lets users explore maps, find similar places, and train small classifiers without a GPU or sign-in. The 128-dimensional embeddings scored highest on 20 of 27 evaluations against AlphaEarth Foundations and Tessera v2, and the model took 53% of v1.2's computing time and 18% of v1's, with weights, pretraining data and code all open.