Machine Learning for Methane Detection and Quantification From Space: A survey

IEEE Geoscience and Remote Sensing Magazine

DOI: 10.1109/mgrs.2025.3599559 Full text (OA) OpenAlex

Authors 0

Author list not loaded yet.

Cited by 0 stored of 3

References 7

Methane retrieved from TROPOMI: improvement of the data product and validation of the first 2 years of measurements
2021 Atmospheric measurement techniques article Environmental Science Atmospheric and Environmental Gas Dynamics Open access

386

citations
Satellite-based survey of extreme methane emissions in the Permian basin
2021 Science Advances article Environmental Science Atmospheric and Environmental Gas Dynamics Open access cited by 1 patent

248

citations
Satellites Detect Abatable Super-Emissions in One of the World’s Largest Methane Hotspot Regions
2022 Environmental Science & Technology article Environmental Science Atmospheric and Environmental Gas Dynamics Open access

151

citations
Automated detection and monitoring of methane super-emitters using satellite data
2023 Atmospheric chemistry and physics article Environmental Science Atmospheric and Environmental Gas Dynamics Open access

125

citations
Daily detection and quantification of methane leaks using Sentinel-3: a tiered satellite observation approach with Sentinel-2 and Sentinel-5p
2023 Remote Sensing of Environment article Environmental Science Atmospheric and Environmental Gas Dynamics Open access

66

citations
Improving atmospheric CO 2 retrieval based on the collaborative use of Greenhouse gases Monitoring Instrument and Directional Polarimetric Camera sensors on Chinese hyperspectral satellite GF5-02
2023 Geo-spatial Information Science article Environmental Science Atmospheric and Environmental Gas Dynamics Open access

15

citations
Daily Global Methane Super‐Emitter Detection and Source Identification With Sub‐Daily Tracking
2025 Geophysical Research Letters article Environmental Science Atmospheric and Environmental Gas Dynamics Open access

11

citations

7 results