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Methane (CH$_4$) is the chief contributor to global climate change. RecentAirborne Visible-Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) hasbeen very useful in quantitative mapping of methane emissions. Existing methodsfor analyzing this data are sensitive to local terrain conditions, oftenrequire manual inspection from domain experts, prone to significant error andhence are not scalable. To address these challenges, we propose a novelend-to-end spectral absorption wavelength aware transformer network,MethaneMapper, to detect and quantify the emissions. MethaneMapper introducestwo novel modules that help to locate the most relevant methane plume regionsin the spectral domain and uses them to localize these accurately. Thoroughevaluation shows that MethaneMapper achieves 0.63 mAP in detection and reducesthe model size (by 5x) compared to the current state of the art. In addition,we also introduce a large-scale dataset of methane plume segmentation mask forover 1200 AVIRIS-NG flight lines from 2015-2022. It contains over 4000 methaneplume sites. Our dataset will provide researchers the opportunity to developand advance new methods for tackling this challenging green-house gas detectionproblem with significant broader social impact. Dataset and source code arepublic

MethaneMapper: Spectral Absorption aware Hyperspectral Transformer for Methane Detection