This is a Preprint and has not been peer reviewed. This is version 3 of this Preprint.

Global identification of solid waste methane super emitters using hyperspectral satellites
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Abstract
Solid waste is the third largest source of anthropogenic methane and mitigating emissions is crucial for addressing climate change. We combine three high-resolution (30–60 m) hyperspectral satellite imagers (EMIT, EnMAP, and PRISMA) to quantify emissions from 38 strongly-emitting disposal sites across worldwide urban methane hotspots. The imagers give consistent emission estimates, with EMIT and EnMAP having better sensitivity than PRISMA. Total observed emissions add up to 230 ± 15 t h-1, representing 5% of reported global solid waste emissions. Our estimates exceed the facility-level Climate TRACE inventory by a factor of 1.8, while we only detect emissions from 9 of the inventory’s 20 highest-emitting sites, highlighting the importance of facility-level information. Furthermore, multi-month observations reveal emission patterns potentially linked to facility operations. We estimate that these instruments could detect up to 60% of global landfill emissions, critically expanding on satellite instruments designed for methane and supporting emission mitigation.
DOI
https://doi.org/10.31223/X57132
Subjects
Atmospheric Sciences, Environmental Sciences
Keywords
methane, Hyperspectral, landfill, satellite, remote sensing
Dates
Published: 2024-11-01 12:26
Last Updated: 2025-01-06 21:26
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License
CC BY Attribution 4.0 International
Additional Metadata
Data Availability (Reason not available):
Retrieval and emission data will be available on Zenodo: https://doi.org/10.5281/zenodo.13643544.
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