Applications & products
Mapping global methane emissions from space with deep learning
MAPL-EMIT uses deep learning and spatial context to detect methane plumes, estimate their enhancements, and localize sources in EMIT satellite data.
Why it matters: Facility-scale plume detection can help stakeholders identify potential sources for targeted follow-up and mitigation. The confidence scores and labels help users manage false-positive risk, but detection estimates alone do not establish that every source is real or that mitigation has occurred.