OlmoEarth v1.1: A more efficient family of Earth observation models

OlmoEarth v1.1: A more efficient family of Earth observation models OlmoEarth v1.1: A more efficient family of Earth observation models Enterprise Article Published May 19, 2026 Upvote 27 Kyle Wiggers Ai2Comms allenai 🧠 Models: https://huggingface.co/collections/allenai/olmoearth | 📄 Tech Report: https://allenai.org/papers/olmoearth_v1_1 | 💻 Code: https://github.com/allenai/olmoearth_pretrain We released OlmoEarth (v1) in November 2025. Since then, partners have applied it across a wide range of tasks, from tracking mangrove change to classifying drivers of forest loss to producing country-scale crop-type maps in days, scaling deployments to national, continental, and global areas.

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• OlmoEarth v1.1: A more efficient family of Earth observation models Enterprise Article Published May 19, 2026 Upvote 27 Kyle Wiggers Ai2Comms allenai 🧠 Models: https://huggingface.co/collections/allenai/olmoearth | 📄 Tech Report: https://allenai.org/papers/olmoearth_v1_1 | 💻 Code: https://github.com/allenai/olmoearth_pretrain We released OlmoEarth (v1) in November 2025.
• Since then, partners have applied it across a wide range of tasks, from tracking mangrove change to classifying drivers of forest loss to producing country-scale crop-type maps in days, scaling deployments to national, continental, and global areas.
• Every release moves us closer to our mission: bringing state-of-the-art AI to organizations and communities working to protect people and our planet.
• When OlmoEarth processes satellite imagery to make predictions across tens to hundreds of thousands of square kilometers, efficiency shapes what’s possible.
• Over the full lifecycle of running OlmoEarth – data export, preprocessing, inference, and post-processing – compute is by far the highest cost.
• A more efficient model means we can support more partners on the OlmoEarth Platform, and that anyone running OlmoEarth on their own can leverage this technology faster and at lower expense.