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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.

United statesMegan craigAndrei armiagov shutterstockProfessor andrew markham department of computer scienceUniversity of oxfordEuropean space agencyDepartment of computer scienceTrillium technologieNature scientific reportsImage creditNet zeroTech industry focusFour cornersEarth surface mineral dust source investigationInternational space stationStudy lead researcher

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
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United statesProfessor andrew markham department of computer scienceDepartment of computer scienceUniversity of oxfordEuropean space agencyComputer scienceNet zeroFour cornersEarth surface mineral dust source investigationInternational space stationAndrew markhamCognitive cloud computingTrillium technologiesNetworked intelligenceSemantic segmentationMethane plumes

AI Detects Methane Plumes from Space to Combat Climate Change

AI Detects Methane Plumes from Space to Combat Climate Change
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United statesDepartment of computer scienceEuropean space agencyUniversity of oxfordProfessor andrew markham department of computer scienceComputer scienceNet zeroFour cornersEarth surface mineral dust source investigationInternational space stationAndrew markhamCognitive cloud computingTrillium technologiesNetworked intelligenceSemantic segmentationMethane plumes

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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European space agencyInternational geoscienceUniversity of oxfordProfessor andrew markham department of computer scienceDepartment of computer scienceAndrew markhamComputer scienceRemote sensing symposiumCognitive cloud computingTrillium technologiesNetworked intelligence

Oxford Researchers Achieve First Space-Based Machine Learning Training

Oxford Researchers Achieve First Space-Based Machine Learning Training
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Department of computer scienceInternational geoscienceUniversity of oxfordProfessor andrew markham department of computer scienceEuropean space agencyComputer scienceAndrew markhamRemote sensing symposiumCognitive cloud computingTrillium technologiesNetworked intelligence