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    FireSat aims to spot tiny wildfires with smaller satellites and AI

    Google says FireSat chose smaller, lower-cost satellites over a large, expensive, high-resolution satellite, relying on machine learning and AI to make up the precision difference.

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    TLDR

    Google describes FireSat as an initiative using AI to detect and track wildfires. Google Research scientist Chris Van Arsdale says choosing smaller, lower-cost satellites means more can be launched, but machine learning and AI are needed to compensate for the precision gap compared with a large, high-resolution satellite.

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    2 Sources

    Google@Google“If you want satellites that can confidently spot really tiny wildfires, you can build a really big, expensive, high-resolution satellite that stares at the ground for a long time. Or you use smaller, lower-cost satellites — meaning you can launch a lot more of them — but you have to make up the precision difference with machine learning and AI. We chose the latter,” says @GoogleResearch scientist, Chris Van Arsdale. We spoke with Chris about our FireSat initiative and how we’re using AI to detect and track wildfires.20d

    2 Sources

    Google@Google“If you want satellites that can confidently spot really tiny wildfires, you can build a really big, expensive, high-resolution satellite that stares at the ground for a long time. Or you use smaller, lower-cost satellites — meaning you can launch a lot more of them — but you have to make up the precision difference with machine learning and AI. We chose the latter,” says @GoogleResearch scientist, Chris Van Arsdale. We spoke with Chris about our FireSat initiative and how we’re using AI to detect and track wildfires.20d