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Putting Earth AI to work: Geospatial agents for our planet's biggest challenges

Our short summary of Google’s engineering write-up. The full story, with all the detail, is on their blog.

Read the full write-up on research.google (opens in a new tab)

Problem

Standard LLMs can’t handle huge, complex geospatial data and multi‑step spatial analysis.

Solution

Created a Geospatial Reasoning agent that plans steps, picks the right Earth AI models, and calls tools like Maps, Earth Engine, and custom datasets to answer spatial questions.

Want the architecture, code and numbers? They’re in the original post.

Read the full write-up on research.google (opens in a new tab)

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