London: A team of researchers have developed a tool to automatically detect methane plumes on Earth from orbit using machine learning with hyperspectral data. This could help identify excessive “super emitters” of methane and enable more effective action to reduce greenhouse gas emissions. Although Net Zero targets focus on carbon dioxide (CO2) emissions, combating methane emissions is 80 times as effective in trapping heat as CO2. Acting quickly to reduce methane emissions from anthropogenic sources would therefore have an immediate impact on slowing global heating and improving air quality. Until now, however, there have been only very few methods to readily map methane plumes from aeria
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