The tool could be used to identify "super emitters" of methane and help cut greenhouse gas emissions.
The researchers found the model was more than 81% accurate in detecting large methane plumes, and 21.5% more accurate than the most accurate approach used previously.
The annotated dataset and code have been made available on GitHub.
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