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Using Hyperspectral Machine Learning Models to Combat Climate Change

Researchers from the University of Oxford have created a tool that uses machine learning and hyperspectral data from Trillium Technologies’ NIO.space to autonomously detect methane plumes on Earth from orbit. This could make it easier to pinpoint methane “super emitters” and allow for more efficient greenhouse gas emission reduction. The journal Nature Scientific Reports has published the findings. ....

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AI that automatically detects methane plumes from space could be a powerful tool in combating climate change.

AI that automatically detects methane plumes from space could be a powerful tool in combating climate change.
ox.ac.uk - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from ox.ac.uk Daily Mail and Mail on Sunday newspapers.

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AI Detects Methane Plumes from Space to Combat Climate Change

AI Detects Methane Plumes from Space to Combat Climate Change
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Researchers successfully train a machine learning model in outer space for the first time

Researchers successfully train a machine learning model in outer space for the first time
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Oxford Researchers Achieve First Space-Based Machine Learning Training

Oxford Researchers Achieve First Space-Based Machine Learning Training
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