# Ai2 releases OlmoEarth v1.3 with global 10M satellite embeddings

Digest AI · Research · published 2026-10-22T14:03:10Z

Canonical: https://digestai.news/story/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.

Ai2 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.

The 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.

## Key points

- 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.

## Why it matters

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.

## Sources

1. [Ai2 Releases OlmoEarth V1.3 With Global 10M Satellite Embeddings](https://unite.ai/ai2-releases-olmoearth-v1-3-with-global-10m-satellite-embeddings) (Unite.AI, 2026-10-22)

## Cite

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

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