{"version":1,"type":"story","url":"https://digestai.news/story/ai2-releases-olmoearth-v1-3-with-global-10m-satellite-embeddings","json":"https://digestai.news/story/ai2-releases-olmoearth-v1-3-with-global-10m-satellite-embeddings.json","markdown":"https://digestai.news/story/ai2-releases-olmoearth-v1-3-with-global-10m-satellite-embeddings.md","slug":"ai2-releases-olmoearth-v1-3-with-global-10m-satellite-embeddings","headline":"Ai2 releases OlmoEarth v1.3 with global 10M satellite embeddings","summary":"The Allen Institute for AI (Ai2) released OlmoEarth v1.3 on October 22, 2026, an open satellite embedding model that generates 128-dimensional vectors for every 10-meter pixel on Earth. The release includes precomputed annual embeddings for the entire planet, a browser-based explorer that requires no sign-in, and a technical report. Unlike previous versions that required fine-tuning with GPU access, this model compresses satellite data into ready-to-use features for tasks like crop monitoring and environmental analysis.\n\nAi2 reports that the 128-dimensional embeddings outperformed baselines AlphaEarth Foundations and Tessera v2 on 20 of 27 evaluations across six continents. The model is significantly more efficient than its predecessors, requiring only 53% of the computing time and 50% of the carbon emissions of OlmoEarth v1.2. Ai2 estimates the pretraining cost at roughly $2,720 in rented H100 time, while generating the global embeddings requires approximately 14,000 H100 hours.\n\nThe release also introduces PLANTEUR, a crop-type benchmark for tropical farming based on data from French overseas territories. The embeddings are hosted on Source Cooperative as a Zarr store, allowing direct access without API keys. The OlmoEarth Artifact License restricts use for military, defense, and extractive-industry applications.","keyPoints":["Ai2 released OlmoEarth v1.3, an open satellite embedding model with global 10-meter resolution data.","The model uses 53% less compute and 50% less carbon than v1.2, costing roughly $2,720 to pretrain.","Precomputed global embeddings are available in a browser-based explorer without requiring sign-in or API keys."],"whyItMatters":"This release lowers the barrier to entry for satellite data analysis by providing precomputed, high-resolution global embeddings. It enables researchers and organizations to perform complex remote sensing tasks without expensive GPU infrastructure or proprietary data pipelines.","category":{"slug":"research","name":"Research","url":"https://digestai.news/category/research"},"entities":{"companies":["Allen Institute for AI","Source Cooperative"],"models":["OlmoEarth v1.3","AlphaEarth Foundations","Tessera v2"],"people":[]},"firstPublishedAt":"2026-10-22T14:03:10Z","updatedAt":"2026-10-22T14:03:10Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"Unite.AI","title":"Ai2 Releases OlmoEarth V1.3 With Global 10M Satellite Embeddings","url":"https://unite.ai/ai2-releases-olmoearth-v1-3-with-global-10m-satellite-embeddings","publishedAt":"2026-10-22T14:03:10Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"Ai2 releases OlmoEarth v1.3 with global 10M satellite embeddings\", 22 October 2026, https://digestai.news/story/ai2-releases-olmoearth-v1-3-with-global-10m-satellite-embeddings","publisher":"Digest AI","title":"Ai2 releases OlmoEarth v1.3 with global 10M satellite embeddings","datePublished":"2026-10-22T14:03:10Z","url":"https://digestai.news/story/ai2-releases-olmoearth-v1-3-with-global-10m-satellite-embeddings"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}