"That's now changing with OlmoEarth, a new open-source, no-code platform that runs powerful AI models trained on millions of Earth observations-from satellites, radar, and environmental sensors, including open data from NASA, NOAA, and the European Space Agency-to analyze and predict planetary changes in real time. It was developed by Ai2, the Allen Institute for AI, a Seattle-based nonprofit research lab founded in 2014 by the late Microsoft co-founder Paul Allen."
"Until now, that's been out of reach-requiring enormous, inaccessible datasets, major budgets, and specialized AI know-how that most nonprofits and public agencies lack. Platforms like Google Earth AI, released earlier this year, and other proprietary systems have shown what's possible when you combine satellite data with AI, but those are closed systems that require access to cloud infrastructure and developer know-how."
OlmoEarth is an open-source, no-code platform that runs AI models trained on millions of Earth observations from satellites, radar, and environmental sensors. The platform uses open data from NASA, NOAA, and the European Space Agency to analyze and predict planetary changes in real time. Ai2, the Allen Institute for AI, developed the platform. The system lowers barriers by avoiding the need for enormous datasets, major budgets, or specialized AI expertise. Early partners use OlmoEarth for crop mapping in Kenya, near-real-time deforestation spotting in the Amazon, and mangrove monitoring that achieved 97% accuracy and halved processing time, enabling faster government action.
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