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Ask a Scientist: How can researchers use AI to spot a wildfire?
Google Research is partnering with Muon Space and the Earth Fire Alliance to use AI and a satellite constellation called FireSat to detect early-stage wildfires. The system aims to spot fires as small as 5-by-5 meters anywhere on Earth.
Why it matters
Early detection gives first responders more time to contain fires before they spread, potentially saving communities and helping city planners better place firebreaks.
The details
- AI models were initially trained using cameras flown over controlled burns. - FireSat satellites operate in low-Earth orbit to track fire progression. - The system aims to resolve issues with current imagery being low-resolution or outdated. - AI distinguishes between controlled agricultural burns and genuine wildfires by tracking progress.
What's next
Google aims to capture a complete picture of Earth's surface every hour within two years, reaching full capacity by 2030.
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Key connections
Google Research uses Artificial Intelligence
Google Research has been exploring how we can use artificial intelligence
Google Research uses Machine Learning
Google Research has been exploring how we can use... machine learning
Google Research is a partner of Muon Space
we’ve teamed up with Muon Space
Google Research is a partner of Earth Fire Alliance
we’ve teamed up with Muon Space to support the Earth Fire Alliance’s FireSat program
Chris Van Arsdale works at Google
What do you do at Google? I manage the climate and energy research group.
FireSat uses Artificial Intelligence
with the help of AI — it will be able to spot fires
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FireSat uses Machine Learning
you have to make up the precision difference with machine learning and AI. We chose the latter.
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