Introducing OlmoEarth embeddings: Custom embedding exports from OlmoEarth Studio for downstream analysis

Ai2’s OlmoEarth Studio now enables users to compute and export embeddings, compact numerical representations generated by open-source OlmoEarth Earth-observation foundation models, as Cloud-Optimized GeoTIFFs for use in standard geospatial tools. Users can configure an area, time span, model size, spatial resolution, and Sentinel-1 or Sentinel-2 imagery source through the Studio interface or API, receiving raster outputs with one int8 band per embedding dimension. The embeddings are intended to support downstream analysis without task-specific training, including similarity search, few-shot land-cover segmentation, temporal change detection, and unsupervised PCA visualization; examples show urban and agricultural similarity mapping, mangrove classification from limited labels, detection of California wildfire impacts, and identification of agricultural parcel structure. For applications needing stronger task-specific results, the platform also offers supervised fine-tuning, while the article notes that output quality depends on the use case and input imagery conditions such as cloud cover, artifacts, and missing observations.

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