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The combined efforts of Oxford researchers and their partners herald a new era in environmental monitoring and climate change mitigation, showcasing the power of AI and space technology in tackling global challenges.
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.
Oxford University researchers have led a project to train a machine learning model in outer space on board a satellite.
London, UK (SPX) Jul 31, 2023 - In an unprecedented move, a research team at the University of Oxford has successfully trained a machine learning model aboard a satellite in outer space. This groundbreaking achievement has the pot
• Researchers used an innovative machine learning approach to develop a tiny model capable of running on a satellite’s limited processing power; • The trained model successfully detected cloud cover in satellite images in around a tenth of a second; • The model could easily be adapted to enable automated decision making for a range of purposes, from disaster management to deforestation.