Articles | Volume 14, issue 2
https://doi.org/10.5194/amt-14-1267-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-1267-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Feb 2021
Research article |
| 18 Feb 2021
| 18 Feb 2021
Detection and quantification of CH4 plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data
Jakob Borchardt
CORRESPONDING AUTHOR
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Konstantin Gerilowski
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Sven Krautwurst
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Heinrich Bovensmann
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Andrew K. Thorpe
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
David R. Thompson
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Christian Frankenberg
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Charles E. Miller
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Riley M. Duren
Institutes for Resilience, University of Arizona, Tucson, AZ, USA
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
John Philip Burrows
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
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- Insights into Elevated Methane Emissions from an Australian Open-Cut Coal Mine Using Two Independent Airborne Techniques J. Borchardt et al. 10.1021/acs.estlett.4c01063
- Advancements in satellite-based methane point source monitoring: A systematic review F. Mohammadimanesh et al. 10.1016/j.isprsjprs.2025.03.020
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- Methane emissions decline from reduced oil, natural gas, and refinery production during COVID-19 A. Thorpe et al. 10.1088/2515-7620/acb5e5
23 citations as recorded by crossref.
- Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data S. Vanselow et al. 10.5194/acp-24-10441-2024
- Recent Advances Toward Transparent Methane Emissions Monitoring: A Review B. Erland et al. 10.1021/acs.est.2c02136
- Daily detection and quantification of methane leaks using Sentinel-3: a tiered satellite observation approach with Sentinel-2 and Sentinel-5p S. Pandey et al. 10.1016/j.rse.2023.113716
- Investigation of non-target gas interferences on a multi-gas cavity ring-down spectrometer P. García et al. 10.1016/j.aeaoa.2024.100258
- CO2 concentration retrieval and emission rate estimation over Indian thermal power plants using radiative transfer approach and AVIRIS-NG data H. Varchand et al. 10.1016/j.rsase.2024.101138
- Evidence of successful methane mitigation in one of Europe's most important oil production region G. Kuhlmann et al. 10.5194/acp-25-5371-2025
- 基于DOAS技术的电厂及城区二氧化碳排放遥测研究 张. Zhang Huarong et al. 10.3788/AOS230762
- Research on Methane Measurement and Interference Factors in Coal Mines X. Wu et al. 10.3390/s22155608
- Attribution of individual methane and carbon dioxide emission sources using EMIT observations from space A. Thorpe et al. 10.1126/sciadv.adh2391
- SSRMF: A sparse spectral reconstruction enhanced matched filter for improving point-source methane emission detection in complex terrain K. Li et al. 10.1016/j.isprsjprs.2025.04.034
- Detecting Methane Emissions from Space Over India: Analysis Using EMIT and Sentinel-5P TROPOMI Datasets A. Siddiqui et al. 10.1007/s12524-024-01925-y
- Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane D. Jacob et al. 10.5194/acp-22-9617-2022
- Airborne imaging spectroscopy surveys of Arctic and boreal Alaska and northwestern Canada 2017–2023 C. Miller et al. 10.1038/s41597-025-04898-w
- Joint Use of in-Scene Background Radiance Estimation and Optimal Estimation Methods for Quantifying Methane Emissions Using PRISMA Hyperspectral Satellite Data: Application to the Korpezhe Industrial Site N. Nesme et al. 10.3390/rs13244992
- Methane retrievals from airborne HySpex observations in the shortwave infrared P. Hochstaffl et al. 10.5194/amt-16-4195-2023
- Investigation of spectral bands and sensor parameters for methane emission detection imaging spectrometer H. Varchand et al. 10.1016/j.jqsrt.2024.109100
- Mapping methane plumes at very high spatial resolution with the WorldView-3 satellite E. Sánchez-García et al. 10.5194/amt-15-1657-2022
- Insights into Elevated Methane Emissions from an Australian Open-Cut Coal Mine Using Two Independent Airborne Techniques J. Borchardt et al. 10.1021/acs.estlett.4c01063
- Advancements in satellite-based methane point source monitoring: A systematic review F. Mohammadimanesh et al. 10.1016/j.isprsjprs.2025.03.020
- Evaluation of methane emission from MSW landfills in China, India, and the U.S. from space using a two-tier approach S. Zhang et al. 10.1016/j.jenvman.2025.124705
- A Framework to Survey a Region for Gas Leaks Using an Unmanned Aerial Vehicle W. Souza et al. 10.1109/ACCESS.2023.3345801
- Mapping the CO2 total column retrieval performance from shortwave infrared measurements: synthetic impacts of the spectral resolution, signal-to-noise ratio, and spectral band selection M. Dogniaux & C. Crevoisier 10.5194/amt-17-5373-2024
- Methane emissions decline from reduced oil, natural gas, and refinery production during COVID-19 A. Thorpe et al. 10.1088/2515-7620/acb5e5
Latest update: 30 May 2025
Short summary
The AVIRIS-NG hyperspectral imager has been used successfully to identify and quantify anthropogenic methane sources utilizing different retrieval and inversion methods. Here, we examine the adaption and application of the WFM-DOAS algorithm to AVIRIS-NG measurements to retrieve local methane column enhancements, compare the results with other retrievals, and quantify the uncertainties resulting from the retrieval method. Additionally, we estimate emissions from five detected methane plumes.
The AVIRIS-NG hyperspectral imager has been used successfully to identify and quantify...
