Tech · Hugging Face
Locations with similar surface characteristics end up with similar vectors; locations that differ land far apart
Compiled by KHAO Editorial — aggregated from 1 source. See llms.txt for citation guidance.
★ Tier-1 Source
Choose your area of interest, time range, encoder variant, resolution, and imagery sources via the Studio UI or API, and get back a COG you can use however you like.
Key facts
- Values range from -127 to +127, with -128 reserved for nodata
- The examples below all use OlmoEarth-v1-Tiny (192-dim) embeddings at 40-meter resolution with Sentinel-2 L2A composites (annual for most examples; monthly for change detection)
- Below, they computed monthly Sentinel-2 embeddings for the same region in September 2023 and September 2024 and measured per-pixel cosine distance
- The global clustering visualization uses OlmoEarth-v1-Base (768-dim) with seasonal Sentinel-2 composites at patch size 8, instance-level embeddings over 1.1M pretraining samples
Summary
OlmoEarth Studio, their platform for building Earth observation models, now lets you compute and export embedding vectors —compact numerical representations of Earth-observation data produced by their open source OlmoEarth foundation models. Embeddings are a fast, cost-effective entry point for leveraging OlmoEarth: they support a wide range of downstream tasks, from similarity search to segmentation to unsupervised exploration. Global structure in OlmoEarth embeddings from seasonal Sentinel-2 imagery across 1.1M samples. Computing embeddings follows the same workflow as any other prediction in Studio. Area of interest: Draw or upload any polygon; Studio handles imagery acquisition and tiling.