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Single-blind validation of space-based point-source detection and quantification of onshore methane emissions
Satellites are increasingly seen as a tool for identifying large greenhouse gas point sources for mitigation, but independent verification of satellite performance is needed for acceptance and use by policy makers and stakeholders. We conduct to our knowledge the first single-blind controlled methan...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992358/ https://www.ncbi.nlm.nih.gov/pubmed/36882586 http://dx.doi.org/10.1038/s41598-023-30761-2 |
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author | Sherwin, Evan D. Rutherford, Jeffrey S. Chen, Yuanlei Aminfard, Sam Kort, Eric A. Jackson, Robert B. Brandt, Adam R. |
author_facet | Sherwin, Evan D. Rutherford, Jeffrey S. Chen, Yuanlei Aminfard, Sam Kort, Eric A. Jackson, Robert B. Brandt, Adam R. |
author_sort | Sherwin, Evan D. |
collection | PubMed |
description | Satellites are increasingly seen as a tool for identifying large greenhouse gas point sources for mitigation, but independent verification of satellite performance is needed for acceptance and use by policy makers and stakeholders. We conduct to our knowledge the first single-blind controlled methane release testing of satellite-based methane emissions detection and quantification, with five independent teams analyzing data from one to five satellites each for this desert-based test. Teams correctly identified 71% of all emissions, ranging from 0.20 [0.19, 0.21] metric tons per hour (t/h) to 7.2 [6.8, 7.6] t/h. Three-quarters (75%) of quantified estimates fell within ± 50% of the metered value, comparable to airplane-based remote sensing technologies. The relatively wide-area Sentinel-2 and Landsat 8 satellites detected emissions as low as 1.4 [1.3, 1.5, 95% confidence interval] t/h, while GHGSat’s targeted system quantified a 0.20 [0.19, 0.21] t/h emission to within 13%. While the fraction of global methane emissions detectable by satellite remains unknown, we estimate that satellite networks could see 19–89% of total oil and natural gas system emissions detected in a recent survey of a high-emitting region. |
format | Online Article Text |
id | pubmed-9992358 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99923582023-03-09 Single-blind validation of space-based point-source detection and quantification of onshore methane emissions Sherwin, Evan D. Rutherford, Jeffrey S. Chen, Yuanlei Aminfard, Sam Kort, Eric A. Jackson, Robert B. Brandt, Adam R. Sci Rep Article Satellites are increasingly seen as a tool for identifying large greenhouse gas point sources for mitigation, but independent verification of satellite performance is needed for acceptance and use by policy makers and stakeholders. We conduct to our knowledge the first single-blind controlled methane release testing of satellite-based methane emissions detection and quantification, with five independent teams analyzing data from one to five satellites each for this desert-based test. Teams correctly identified 71% of all emissions, ranging from 0.20 [0.19, 0.21] metric tons per hour (t/h) to 7.2 [6.8, 7.6] t/h. Three-quarters (75%) of quantified estimates fell within ± 50% of the metered value, comparable to airplane-based remote sensing technologies. The relatively wide-area Sentinel-2 and Landsat 8 satellites detected emissions as low as 1.4 [1.3, 1.5, 95% confidence interval] t/h, while GHGSat’s targeted system quantified a 0.20 [0.19, 0.21] t/h emission to within 13%. While the fraction of global methane emissions detectable by satellite remains unknown, we estimate that satellite networks could see 19–89% of total oil and natural gas system emissions detected in a recent survey of a high-emitting region. Nature Publishing Group UK 2023-03-07 /pmc/articles/PMC9992358/ /pubmed/36882586 http://dx.doi.org/10.1038/s41598-023-30761-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sherwin, Evan D. Rutherford, Jeffrey S. Chen, Yuanlei Aminfard, Sam Kort, Eric A. Jackson, Robert B. Brandt, Adam R. Single-blind validation of space-based point-source detection and quantification of onshore methane emissions |
title | Single-blind validation of space-based point-source detection and quantification of onshore methane emissions |
title_full | Single-blind validation of space-based point-source detection and quantification of onshore methane emissions |
title_fullStr | Single-blind validation of space-based point-source detection and quantification of onshore methane emissions |
title_full_unstemmed | Single-blind validation of space-based point-source detection and quantification of onshore methane emissions |
title_short | Single-blind validation of space-based point-source detection and quantification of onshore methane emissions |
title_sort | single-blind validation of space-based point-source detection and quantification of onshore methane emissions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992358/ https://www.ncbi.nlm.nih.gov/pubmed/36882586 http://dx.doi.org/10.1038/s41598-023-30761-2 |
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