Articles | Volume 15, issue 8
https://doi.org/10.5194/essd-15-3761-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-3761-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Developing a spatially explicit global oil and gas infrastructure database for characterizing methane emission sources at high resolution
Environmental Defense Fund, New York, NY 10010, USA
MethaneSAT, LLC, Austin, TX 78701, USA
Ritesh Gautam
CORRESPONDING AUTHOR
Environmental Defense Fund, New York, NY 10010, USA
MethaneSAT, LLC, Austin, TX 78701, USA
Madeleine A. O'Brien
MethaneSAT, LLC, Austin, TX 78701, USA
Anthony Himmelberger
MethaneSAT, LLC, Austin, TX 78701, USA
Alex Franco
Environmental Defense Fund, New York, NY 10010, USA
Kelsey Meisenhelder
Environmental Defense Fund, New York, NY 10010, USA
Grace Hauser
MethaneSAT, LLC, Austin, TX 78701, USA
David R. Lyon
Environmental Defense Fund, New York, NY 10010, USA
Apisada Chulakadabba
School of Engineering and Applied Science, Department of Earth and
Planetary Science, Harvard University, Cambridge, MA 02138, USA
Christopher Chan Miller
Environmental Defense Fund, New York, NY 10010, USA
School of Engineering and Applied Science, Department of Earth and
Planetary Science, Harvard University, Cambridge, MA 02138, USA
Center for Astrophysics, Harvard and Smithsonian, Cambridge, MA
02138, USA
Climate Change Research Center, University of New South Wales, Sydney,
New South Wales, Australia
Jonathan Franklin
School of Engineering and Applied Science, Department of Earth and
Planetary Science, Harvard University, Cambridge, MA 02138, USA
Steven C. Wofsy
School of Engineering and Applied Science, Department of Earth and
Planetary Science, Harvard University, Cambridge, MA 02138, USA
Steven P. Hamburg
Environmental Defense Fund, New York, NY 10010, USA
MethaneSAT, LLC, Austin, TX 78701, USA
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Cited
18 citations as recorded by crossref.
- Methane retrieval from MethaneAIR using the CO2 proxy approach: a demonstration for the upcoming MethaneSAT mission C. Chan Miller et al.
- Small emission sources in aggregate disproportionately account for a large majority of total methane emissions from the US oil and gas sector J. Williams et al.
- MAM-YOLOv9: A Multiattention Mechanism Network for Methane Emission Facility Detection in High-Resolution Satellite Remote Sensing Images Y. Xing et al.
- Using new geospatial data and 2020 fossil fuel methane emissions for the Global Fuel Exploitation Inventory (GFEI) v3 T. Scarpelli et al.
- Mapping mangrove deforestation and blue carbon loss in global supply chains between 2000 and 2019 N. Ge et al.
- School-based exposures to oil and gas development for public school children in the United States C. Clark et al.
- Sectoral contributions of high-emitting methane point sources from major US onshore oil and gas producing basins using airborne measurements from MethaneAIR J. Warren et al.
- Detection and quantification of methane plumes with the MethaneAIR airborne spectrometer L. Guanter et al.
- SOUTHERN BELT OF OIL AND GAS DEVELOPMENT IN EASTERN SIBERIA: STRUCTURE OF LICENSE OWNERSHIP, ACCESS TO KEY FIELDS, AND ESTIMATED PRODUCTION INDICATORS I. Kruchinin
- Space-based assessment of NOx emissions from global oil and gas fields: Bridging the gap in current emission inventories P. Patel et al.
- Enabling a Digital Earth for methane emissions management with equal-area discrete global grids M. Li & S. Liang
- Constructing a measurement-based spatially explicit inventory of US oil and gas methane emissions (2021) M. Omara et al.
- Assessing the Potential of the MTG-FCI Geostationary Mission for the Detection of Methane Plumes S. Zhou et al.
- A prudent planetary limit for geologic carbon storage M. Gidden et al.
- Space-ground integration system of methane emission monitoring and quantification: cases in Dongying, China H. He et al.
- Innovative software for analysing satellite data and methane emissions using radiative transfer model K. Aghayeva & G. Krauklit
- High resolution GDP modelling for climate risk assessments with an application to coastal flooding in Norway F. Barre et al.
- A methane monitoring station siting method based on WRF-STILT and genetic algorithm L. Fan et al.
18 citations as recorded by crossref.
- Methane retrieval from MethaneAIR using the CO2 proxy approach: a demonstration for the upcoming MethaneSAT mission C. Chan Miller et al.
- Small emission sources in aggregate disproportionately account for a large majority of total methane emissions from the US oil and gas sector J. Williams et al.
- MAM-YOLOv9: A Multiattention Mechanism Network for Methane Emission Facility Detection in High-Resolution Satellite Remote Sensing Images Y. Xing et al.
- Using new geospatial data and 2020 fossil fuel methane emissions for the Global Fuel Exploitation Inventory (GFEI) v3 T. Scarpelli et al.
- Mapping mangrove deforestation and blue carbon loss in global supply chains between 2000 and 2019 N. Ge et al.
- School-based exposures to oil and gas development for public school children in the United States C. Clark et al.
- Sectoral contributions of high-emitting methane point sources from major US onshore oil and gas producing basins using airborne measurements from MethaneAIR J. Warren et al.
- Detection and quantification of methane plumes with the MethaneAIR airborne spectrometer L. Guanter et al.
- SOUTHERN BELT OF OIL AND GAS DEVELOPMENT IN EASTERN SIBERIA: STRUCTURE OF LICENSE OWNERSHIP, ACCESS TO KEY FIELDS, AND ESTIMATED PRODUCTION INDICATORS I. Kruchinin
- Space-based assessment of NOx emissions from global oil and gas fields: Bridging the gap in current emission inventories P. Patel et al.
- Enabling a Digital Earth for methane emissions management with equal-area discrete global grids M. Li & S. Liang
- Constructing a measurement-based spatially explicit inventory of US oil and gas methane emissions (2021) M. Omara et al.
- Assessing the Potential of the MTG-FCI Geostationary Mission for the Detection of Methane Plumes S. Zhou et al.
- A prudent planetary limit for geologic carbon storage M. Gidden et al.
- Space-ground integration system of methane emission monitoring and quantification: cases in Dongying, China H. He et al.
- Innovative software for analysing satellite data and methane emissions using radiative transfer model K. Aghayeva & G. Krauklit
- High resolution GDP modelling for climate risk assessments with an application to coastal flooding in Norway F. Barre et al.
- A methane monitoring station siting method based on WRF-STILT and genetic algorithm L. Fan et al.
Saved (final revised paper)
Latest update: 06 May 2026
Short summary
We acquire, integrate, and analyze ~ 6 million geospatial oil and gas infrastructure data records based on information available in the public domain and develop an open-access global database including all the major oil and gas facility types that are important sources of methane emissions. This work helps fulfill a crucial geospatial data need, in support of the assessment, attribution, and mitigation of global oil and gas methane emissions at high resolution.
We acquire, integrate, and analyze ~ 6 million geospatial oil and gas infrastructure data...
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