Detection and quantification of CH 4 plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data
Methane is the second most important anthropogenic greenhouse gas in the Earth's atmosphere. To effectively reduce these emissions, a good knowledge of source locations and strengths is required. Airborne remote sensing instruments such as the Airborne Visible InfraRed Imaging Spectrometer – Ne...
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ftdoajarticles:oai:doaj.org/article:77ba4035b49a4fc59e003d3baa8565e4 2023-05-15T15:14:22+02:00 Detection and quantification of CH 4 plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data J. Borchardt K. Gerilowski S. Krautwurst H. Bovensmann A. K. Thorpe D. R. Thompson C. Frankenberg C. E. Miller R. M. Duren J. P. Burrows 2021-02-01T00:00:00Z https://doi.org/10.5194/amt-14-1267-2021 https://doaj.org/article/77ba4035b49a4fc59e003d3baa8565e4 EN eng Copernicus Publications https://amt.copernicus.org/articles/14/1267/2021/amt-14-1267-2021.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-14-1267-2021 1867-1381 1867-8548 https://doaj.org/article/77ba4035b49a4fc59e003d3baa8565e4 Atmospheric Measurement Techniques, Vol 14, Pp 1267-1291 (2021) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2021 ftdoajarticles https://doi.org/10.5194/amt-14-1267-2021 2022-12-31T12:02:35Z Methane is the second most important anthropogenic greenhouse gas in the Earth's atmosphere. To effectively reduce these emissions, a good knowledge of source locations and strengths is required. Airborne remote sensing instruments such as the Airborne Visible InfraRed Imaging Spectrometer – Next Generation (AVIRIS-NG) with meter-scale imaging capabilities are able to yield information about the locations and magnitudes of methane sources. In this study, we successfully applied the weighting function modified differential optical absorption spectroscopy (WFM-DOAS) algorithm to AVIRIS-NG data measured in Canada and the Four Corners region. The WFM-DOAS retrieval is conceptually located between the statistical matched filter (MF) and the optimal-estimation-based iterative maximum a posteriori DOAS (IMAP-DOAS) retrieval algorithm, both of which were already applied successfully to AVIRIS-NG data. The WFM-DOAS algorithm is based on a first order Taylor series approximation of the Lambert–Beer law using only one precalculated radiative transfer calculation per scene. This yields the fast quantitative processing of large data sets. We detected several methane plumes in the AVIRIS-NG images recorded during the Arctic-Boreal Vulnerability Experiment (ABoVE) Airborne Campaign and successfully retrieved a coal mine ventilation shaft plume observed during the Four Corners measurement campaign. The comparison between IMAP-DOAS, MF, and WFM-DOAS showed good agreement for the coal mine ventilation shaft plume. An additional comparison between MF and WFM-DOAS for a subset of plumes showed good agreement for one plume and some differences for the others. For five plumes, the emissions were estimated using a simple cross-sectional flux method. The retrieved fluxes originated from well pads, cold vents, and a coal mine ventilation shaft and ranged between (155 ± 71) kg (CH 4 ) h −1 and (1220 ± 450) kg (CH 4 ) h −1 . The wind velocity was a significant source of uncertainty in all plumes, followed by the single pixel retrieval ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Canada Atmospheric Measurement Techniques 14 2 1267 1291 |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
spellingShingle |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 J. Borchardt K. Gerilowski S. Krautwurst H. Bovensmann A. K. Thorpe D. R. Thompson C. Frankenberg C. E. Miller R. M. Duren J. P. Burrows Detection and quantification of CH 4 plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data |
topic_facet |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
description |
Methane is the second most important anthropogenic greenhouse gas in the Earth's atmosphere. To effectively reduce these emissions, a good knowledge of source locations and strengths is required. Airborne remote sensing instruments such as the Airborne Visible InfraRed Imaging Spectrometer – Next Generation (AVIRIS-NG) with meter-scale imaging capabilities are able to yield information about the locations and magnitudes of methane sources. In this study, we successfully applied the weighting function modified differential optical absorption spectroscopy (WFM-DOAS) algorithm to AVIRIS-NG data measured in Canada and the Four Corners region. The WFM-DOAS retrieval is conceptually located between the statistical matched filter (MF) and the optimal-estimation-based iterative maximum a posteriori DOAS (IMAP-DOAS) retrieval algorithm, both of which were already applied successfully to AVIRIS-NG data. The WFM-DOAS algorithm is based on a first order Taylor series approximation of the Lambert–Beer law using only one precalculated radiative transfer calculation per scene. This yields the fast quantitative processing of large data sets. We detected several methane plumes in the AVIRIS-NG images recorded during the Arctic-Boreal Vulnerability Experiment (ABoVE) Airborne Campaign and successfully retrieved a coal mine ventilation shaft plume observed during the Four Corners measurement campaign. The comparison between IMAP-DOAS, MF, and WFM-DOAS showed good agreement for the coal mine ventilation shaft plume. An additional comparison between MF and WFM-DOAS for a subset of plumes showed good agreement for one plume and some differences for the others. For five plumes, the emissions were estimated using a simple cross-sectional flux method. The retrieved fluxes originated from well pads, cold vents, and a coal mine ventilation shaft and ranged between (155 ± 71) kg (CH 4 ) h −1 and (1220 ± 450) kg (CH 4 ) h −1 . The wind velocity was a significant source of uncertainty in all plumes, followed by the single pixel retrieval ... |
format |
Article in Journal/Newspaper |
author |
J. Borchardt K. Gerilowski S. Krautwurst H. Bovensmann A. K. Thorpe D. R. Thompson C. Frankenberg C. E. Miller R. M. Duren J. P. Burrows |
author_facet |
J. Borchardt K. Gerilowski S. Krautwurst H. Bovensmann A. K. Thorpe D. R. Thompson C. Frankenberg C. E. Miller R. M. Duren J. P. Burrows |
author_sort |
J. Borchardt |
title |
Detection and quantification of CH 4 plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data |
title_short |
Detection and quantification of CH 4 plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data |
title_full |
Detection and quantification of CH 4 plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data |
title_fullStr |
Detection and quantification of CH 4 plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data |
title_full_unstemmed |
Detection and quantification of CH 4 plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data |
title_sort |
detection and quantification of ch 4 plumes using the wfm-doas retrieval on aviris-ng hyperspectral data |
publisher |
Copernicus Publications |
publishDate |
2021 |
url |
https://doi.org/10.5194/amt-14-1267-2021 https://doaj.org/article/77ba4035b49a4fc59e003d3baa8565e4 |
geographic |
Arctic Canada |
geographic_facet |
Arctic Canada |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Atmospheric Measurement Techniques, Vol 14, Pp 1267-1291 (2021) |
op_relation |
https://amt.copernicus.org/articles/14/1267/2021/amt-14-1267-2021.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-14-1267-2021 1867-1381 1867-8548 https://doaj.org/article/77ba4035b49a4fc59e003d3baa8565e4 |
op_doi |
https://doi.org/10.5194/amt-14-1267-2021 |
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Atmospheric Measurement Techniques |
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14 |
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2 |
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1267 |
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1291 |
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1766344832961216512 |