An automated ML-plus-physics pipeline detects trace gas plumes in EMIT spectrometer data, flagging major events in real time and recovering at least 25% of plumes missed by prior human review.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
MAPL-EMIT, an end-to-end vision transformer, detects 79% of known hand-annotated EMIT methane plume complexes and twice as many plausible plumes as human analysts while supporting quantification and multi-plume handling.
citing papers explorer
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Fully Automatic Trace Gas Plume Detection
An automated ML-plus-physics pipeline detects trace gas plumes in EMIT spectrometer data, flagging major events in real time and recovering at least 25% of plumes missed by prior human review.
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Global monitoring of methane point sources using deep learning on hyperspectral radiance measurements from EMIT
MAPL-EMIT, an end-to-end vision transformer, detects 79% of known hand-annotated EMIT methane plume complexes and twice as many plausible plumes as human analysts while supporting quantification and multi-plume handling.