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From pixels to planning: Earth AI for nature restoration

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

Users couldn’t see small hedgerows and woodlands on satellite maps, making it hard to plan nature restoration.

Solution

They trained a high‑resolution deep‑learning model on satellite imagery to detect and convert tiny ecological features into precise vector shapes that can be used for planning and carbon accounting.

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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