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

Introducing OlmoEarth embeddings: Custom embedding exports from OlmoEarth Studio for downstream analysis Introducing OlmoEarth embeddings: Custom embedding exports from OlmoEarth Studio for downstream analysis Enterprise Article Published August 12, 2026 Upvote 18 Kyle Wiggers Ai2Comms allenai 📄 Tech Report: https://allenai.org/papers/olmoearth | 📊 Documentation: https://docs.olmoearth.allenai.org/embeddings | 💻 Learn more about OlmoEarth: https://allenai.org/olmoearth OlmoEarth Studio , our platform for building Earth observation models, now lets you compute and export embedding vectors —compact numerical representations of Earth-observation data produced by our open source OlmoEarth foundation models. The source code and model weights are publicly available alongside the research paper , so the community can inspect exactly how these embeddings are generated.

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• Introducing OlmoEarth embeddings: Custom embedding exports from OlmoEarth Studio for downstream analysis Enterprise Article Published August 12, 2026 Upvote 18 Kyle Wiggers Ai2Comms allenai 📄 Tech Report: https://allenai.org/papers/olmoearth | 📊 Documentation: https://docs.olmoearth.allenai.org/embeddings | 💻 Learn more about OlmoEarth: https://allenai.org/olmoearth OlmoEarth Studio , our platform for building Earth observation models, now lets you compute and export embedding vectors —compact numerical representations of Earth-observation data produced by our open source OlmoEarth foundation models.
• The source code and model weights are publicly available alongside the research paper , so the community can inspect exactly how these embeddings are generated.
• 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.
• Locations with similar surface characteristics end up with similar vectors; locations that differ land far apart.
• OlmoEarth embeddings have shown strong performance in our own benchmarking and in independent evaluations .
• The exported Cloud-Optimized GeoTIFFs (COGs) are lightweight and easy to share.