MARS-S2L ML model detects methane plumes in multispectral satellite imagery at 78% recall with 8% false positives on unseen sites and has enabled verified permanent mitigation at six persistent emitters including a long-running super-emitter in Algeria.
Mu ˜noz-Sabater,et al., ERA5-Land: A state-of-the-art global reanalysis dataset for land applications
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Artificial intelligence for methane detection: from continuous monitoring to verified mitigation
MARS-S2L ML model detects methane plumes in multispectral satellite imagery at 78% recall with 8% false positives on unseen sites and has enabled verified permanent mitigation at six persistent emitters including a long-running super-emitter in Algeria.