# Hugging Face releases OlmoEarth v1.3 with global satellite embeddings

- Published: 2026-10-22T16:11:31.000Z
- Updated: 2026-10-23T10:06:07.406Z
- Section: Models
- Topics: Research, RAG
- Page: https://aidailyjournal.com/en/n/2026/10/22/hugging-face-releases-olmoearth-v1-3-with-global-satellite-embeddings/
- Sources: [Hugging Face](https://huggingface.co/blog/allenai/olmoearth-v1-3)

## Summary

Hugging Face announced OlmoEarth v1.3, a satellite embedding model, and published precomputed annual embeddings for the entire planet on Source Cooperative, at 10-meter resolution and in 64- and 128-dimensional versions. It also made the OlmoEarth Embeddings Explorer available, a browser-based tool for exploring and customizing maps without a sign-in; small classifiers can be trained locally for tasks such as crop maps, land-cover mapping and change analysis.

According to Hugging Face, the model processes radar time series from Sentinel-1 and multispectral data from Sentinel-2 and Landsat. Across 27 evaluations, its 128-dimensional embeddings ranked first in 20; the 64-dimensional version led in 18. The organization also says the model weights, data and pretraining code are open, and that v1.3 used 53% of v1.2’s computing time and 18% of v1’s, while matching v1.2’s fine-tuning performance.

## Why it matters (editorial interpretation)

Publishing annual embeddings for the entire planet and a no-sign-in exploration tool could lower the barrier to analyzing satellite data and training local classifiers. The evaluation results and efficiency gains are Hugging Face’s claims, so they still depend on independent verification.

_Summary written by AI Daily Journal in its own words, based on the sources above. For details, read the original articles._