Google
Vision

Mapping global methane emissions from space with deep learning

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 needed a fast way to spot methane leaks from space.

Solution

They built MAPL‑EMIT, a deep‑learning model that turns hyperspectral satellite images into detections, enhancements, and source estimates of methane plumes.

High recall of 84%

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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