Articles | Volume 7, issue 2
https://doi.org/10.5194/amt-7-491-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-7-491-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Retrieval techniques for airborne imaging of methane concentrations using high spatial and moderate spectral resolution: application to AVIRIS
A. K. Thorpe
Department of Geography, University of California, Santa Barbara, Santa Barbara, California, USA
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
C. Frankenberg
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
D. A. Roberts
Department of Geography, University of California, Santa Barbara, Santa Barbara, California, USA
Viewed
Total article views: 5,885 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Sep 2013)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
3,136 | 2,581 | 168 | 5,885 | 171 | 144 |
- HTML: 3,136
- PDF: 2,581
- XML: 168
- Total: 5,885
- BibTeX: 171
- EndNote: 144
Total article views: 5,006 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Feb 2014)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,730 | 2,135 | 141 | 5,006 | 158 | 132 |
- HTML: 2,730
- PDF: 2,135
- XML: 141
- Total: 5,006
- BibTeX: 158
- EndNote: 132
Total article views: 879 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Sep 2013)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
406 | 446 | 27 | 879 | 13 | 12 |
- HTML: 406
- PDF: 446
- XML: 27
- Total: 879
- BibTeX: 13
- EndNote: 12
Cited
63 citations as recorded by crossref.
- Compact snapshot image mapping spectrometer for unmanned aerial vehicle hyperspectral imaging J. Dwight et al. 10.1117/1.JRS.12.044004
- Reduced Methane Emissions from Santa Barbara Marine Seeps T. Krings et al. 10.3390/rs9111162
- Mitigation of methane emissions in cities: How new measurements and partnerships can contribute to emissions reduction strategies F. Hopkins et al. 10.1002/2016EF000381
- Methane emissions decline from reduced oil, natural gas, and refinery production during COVID-19 A. Thorpe et al. 10.1088/2515-7620/acb5e5
- Spectral remote sensing for onshore seepage characterization: A critical overview S. Asadzadeh & C. de Souza Filho 10.1016/j.earscirev.2017.03.004
- High-Resolution Methane Mapping With the EnMAP Satellite Imaging Spectroscopy Mission J. Roger et al. 10.1109/TGRS.2024.3352403
- The GHGSat-D imaging spectrometer D. Jervis et al. 10.5194/amt-14-2127-2021
- Potential of next-generation imaging spectrometers to detect and quantify methane point sources from space D. Cusworth et al. 10.5194/amt-12-5655-2019
- Application of airborne and spaceborne hyperspectral imaging techniques for atmospheric research: past, present, and future M. Calin et al. 10.1080/05704928.2020.1774381
- Towards spaceborne monitoring of localized CO<sub>2</sub> emissions: an instrument concept and first performance assessment J. Strandgren et al. 10.5194/amt-13-2887-2020
- Detection of Methane Plumes Using Airborne Midwave Infrared (3–5 µm) Hyperspectral Data R. Scafutto & C. De Souza Filho 10.3390/rs10081237
- US oil and gas system emissions from nearly one million aerial site measurements E. Sherwin et al. 10.1038/s41586-024-07117-5
- Estimation of molecular column density of methane (XCH4) using AVIRIS-NG data M. Pathakoti 10.1117/1.JRS.12.046005
- PRISMethaNet: A novel deep learning model for landfill methane detection using PRISMA satellite data M. Marjani et al. 10.1016/j.isprsjprs.2024.10.003
- Fast and Accurate Retrieval of Methane Concentration From Imaging Spectrometer Data Using Sparsity Prior M. Foote et al. 10.1109/TGRS.2020.2976888
- Methane retrievals from airborne HySpex observations in the shortwave infrared P. Hochstaffl et al. 10.5194/amt-16-4195-2023
- NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms K. Cawse-Nicholson et al. 10.1016/j.rse.2021.112349
- Evaluating the effects of surface properties on methane retrievals using a synthetic airborne visible/infrared imaging spectrometer next generation (AVIRIS-NG) image A. Ayasse et al. 10.1016/j.rse.2018.06.018
- Detecting the Sources of Methane Emission from Oil Shale Mining and Processing Using Airborne Hyperspectral Data C. Xiao et al. 10.3390/rs12030537
- High spatial resolution imaging of methane and other trace gases with the airborne Hyperspectral Thermal Emission Spectrometer (HyTES) G. Hulley et al. 10.5194/amt-9-2393-2016
- Airborne remote sensing and in situ measurements of atmospheric CO<sub>2</sub> to quantify point source emissions T. Krings et al. 10.5194/amt-11-721-2018
- Spectroscopic techniques conceptualized with the remote sensing of atmospheric carbon dioxide and other greenhouse gases B. Raychaudhuri 10.1080/05704928.2024.2326527
- 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
- Mapping methane point emissions with the PRISMA spaceborne imaging spectrometer L. Guanter et al. 10.1016/j.rse.2021.112671
- Exploiting the entire near-infrared spectral range to improve the detection of methane plumes with high-resolution imaging spectrometers J. Roger et al. 10.5194/amt-17-1333-2024
- Atmospheric remote sensing constraints on direct sea-air methane flux from the 22/4b North Sea massive blowout bubble plume K. Gerilowski et al. 10.1016/j.marpetgeo.2015.07.011
- Attribution of individual methane and carbon dioxide emission sources using EMIT observations from space A. Thorpe et al. 10.1126/sciadv.adh2391
- Space‐based remote imaging spectroscopy of the Aliso Canyon CH4 superemitter D. Thompson et al. 10.1002/2016GL069079
- Understanding the potential of Sentinel-2 for monitoring methane point emissions J. Gorroño et al. 10.5194/amt-16-89-2023
- Improved methane emission estimates using AVIRIS-NG and an Airborne Doppler Wind Lidar A. Thorpe et al. 10.1016/j.rse.2021.112681
- Advanced Leak Detection and Quantification of Methane Emissions Using sUAS D. Hollenbeck et al. 10.3390/drones5040117
- MethaNet – An AI-driven approach to quantifying methane point-source emission from high-resolution 2-D plume imagery S. Jongaramrungruang et al. 10.1016/j.rse.2021.112809
- Real-time remote detection and measurement for airborne imaging spectroscopy: a case study with methane D. Thompson et al. 10.5194/amt-8-4383-2015
- Methane remote sensing and emission quantification of offshore shallow water oil and gas platforms in the Gulf of Mexico A. Ayasse et al. 10.1088/1748-9326/ac8566
- Airborne methane remote measurements reveal heavy-tail flux distribution in Four Corners region C. Frankenberg et al. 10.1073/pnas.1605617113
- Matched Filter Based on the Radiative Transfer Model for CO2 Estimation From PRISMA Hyperspectral Data N. Acito et al. 10.1109/TGRS.2023.3327756
- Sensitivity and Uncertainty in Matched-Filter-Based Gas Detection With Imaging Spectroscopy J. Fahlen et al. 10.1109/TGRS.2024.3440174
- Airborne Mapping Reveals Emergent Power Law of Arctic Methane Emissions C. Elder et al. 10.1029/2019GL085707
- First TanSat CO2 retrieval over land and ocean using both nadir and glint spectroscopy X. Hong et al. 10.1016/j.rse.2024.114053
- Evaluation of thermal infrared hyperspectral imagery for the detection of onshore methane plumes: Significance for hydrocarbon exploration and monitoring R. Scafutto et al. 10.1016/j.jag.2017.07.002
- Advanced radiometry measurements and Earth science applications with the Airborne Prism Experiment (APEX) M. Schaepman et al. 10.1016/j.rse.2014.11.014
- 煤炭行业甲烷排放卫星遥感研究进展与展望 秦. Qin Kai et al. 10.3788/AOS231293
- An examination of enhanced atmospheric methane detection methods for predicting performance of a novel multiband uncooled radiometer imager C. Webber & J. Kerekes 10.5194/amt-13-5359-2020
- Remote sensing of methane plumes: instrument tradeoff analysis for detecting and quantifying local sources at global scale S. Jongaramrungruang et al. 10.5194/amt-14-7999-2021
- Detection and quantification of CH<sub>4</sub> plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data J. Borchardt et al. 10.5194/amt-14-1267-2021
- Mapping methane plumes at very high spatial resolution with the WorldView-3 satellite E. Sánchez-García et al. 10.5194/amt-15-1657-2022
- Retrieval of Global Carbon Dioxide From TanSat Satellite and Comprehensive Validation With TCCON Measurements and Satellite Observations X. Hong et al. 10.1109/TGRS.2021.3066623
- Geomorphological patterns of remotely sensed methane hot spots in the Mackenzie Delta, Canada L. Baskaran et al. 10.1088/1748-9326/ac41fb
- Characterizing Methane Emission Hotspots From Thawing Permafrost C. Elder et al. 10.1029/2020GB006922
- Quantifying methane emissions from United States landfills D. Cusworth et al. 10.1126/science.adi7735
- 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
- A uniformly most powerful detector of gas plumes against a cluttered background A. Schaum 10.1016/j.rse.2021.112443
- Using a deep neural network to detect methane point sources and quantify emissions from PRISMA hyperspectral satellite images P. Joyce et al. 10.5194/amt-16-2627-2023
- Improving quantification of methane point source emissions from imaging spectroscopy Z. Pei et al. 10.1016/j.rse.2023.113652
- Methane Retrieval Algorithms Based on Satellite: A Review Y. Jiang et al. 10.3390/atmos15040449
- 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
- Mapping methane concentrations from a controlled release experiment using the next generation airborne visible/infrared imaging spectrometer (AVIRIS-NG) A. Thorpe et al. 10.1016/j.rse.2016.03.032
- Airborne DOAS retrievals of methane, carbon dioxide, and water vapor concentrations at high spatial resolution: application to AVIRIS-NG A. Thorpe et al. 10.5194/amt-10-3833-2017
- Satellite-based survey of extreme methane emissions in the Permian basin I. Irakulis-Loitxate et al. 10.1126/sciadv.abf4507
- Impact of scene-specific enhancement spectra on matched filter greenhouse gas retrievals from imaging spectroscopy M. Foote et al. 10.1016/j.rse.2021.112574
- Atmospheric composition and thermodynamic retrievals from the ARIES airborne FTS system – Part 1: Technical aspects and simulated capability S. Illingworth et al. 10.5194/amt-7-1133-2014
- Challenges in Methane Column Retrievals from AVIRIS-NG Imagery over Spectrally Cluttered Surfaces: A Sensitivity Analysis M. Zhang et al. 10.3390/rs9080835
- Atmospheric composition and thermodynamic retrievals from the ARIES airborne FTS system – Part 1: Technical aspects and simulated capability S. Illingworth et al. 10.5194/amtd-6-10833-2013
62 citations as recorded by crossref.
- Compact snapshot image mapping spectrometer for unmanned aerial vehicle hyperspectral imaging J. Dwight et al. 10.1117/1.JRS.12.044004
- Reduced Methane Emissions from Santa Barbara Marine Seeps T. Krings et al. 10.3390/rs9111162
- Mitigation of methane emissions in cities: How new measurements and partnerships can contribute to emissions reduction strategies F. Hopkins et al. 10.1002/2016EF000381
- Methane emissions decline from reduced oil, natural gas, and refinery production during COVID-19 A. Thorpe et al. 10.1088/2515-7620/acb5e5
- Spectral remote sensing for onshore seepage characterization: A critical overview S. Asadzadeh & C. de Souza Filho 10.1016/j.earscirev.2017.03.004
- High-Resolution Methane Mapping With the EnMAP Satellite Imaging Spectroscopy Mission J. Roger et al. 10.1109/TGRS.2024.3352403
- The GHGSat-D imaging spectrometer D. Jervis et al. 10.5194/amt-14-2127-2021
- Potential of next-generation imaging spectrometers to detect and quantify methane point sources from space D. Cusworth et al. 10.5194/amt-12-5655-2019
- Application of airborne and spaceborne hyperspectral imaging techniques for atmospheric research: past, present, and future M. Calin et al. 10.1080/05704928.2020.1774381
- Towards spaceborne monitoring of localized CO<sub>2</sub> emissions: an instrument concept and first performance assessment J. Strandgren et al. 10.5194/amt-13-2887-2020
- Detection of Methane Plumes Using Airborne Midwave Infrared (3–5 µm) Hyperspectral Data R. Scafutto & C. De Souza Filho 10.3390/rs10081237
- US oil and gas system emissions from nearly one million aerial site measurements E. Sherwin et al. 10.1038/s41586-024-07117-5
- Estimation of molecular column density of methane (XCH4) using AVIRIS-NG data M. Pathakoti 10.1117/1.JRS.12.046005
- PRISMethaNet: A novel deep learning model for landfill methane detection using PRISMA satellite data M. Marjani et al. 10.1016/j.isprsjprs.2024.10.003
- Fast and Accurate Retrieval of Methane Concentration From Imaging Spectrometer Data Using Sparsity Prior M. Foote et al. 10.1109/TGRS.2020.2976888
- Methane retrievals from airborne HySpex observations in the shortwave infrared P. Hochstaffl et al. 10.5194/amt-16-4195-2023
- NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms K. Cawse-Nicholson et al. 10.1016/j.rse.2021.112349
- Evaluating the effects of surface properties on methane retrievals using a synthetic airborne visible/infrared imaging spectrometer next generation (AVIRIS-NG) image A. Ayasse et al. 10.1016/j.rse.2018.06.018
- Detecting the Sources of Methane Emission from Oil Shale Mining and Processing Using Airborne Hyperspectral Data C. Xiao et al. 10.3390/rs12030537
- High spatial resolution imaging of methane and other trace gases with the airborne Hyperspectral Thermal Emission Spectrometer (HyTES) G. Hulley et al. 10.5194/amt-9-2393-2016
- Airborne remote sensing and in situ measurements of atmospheric CO<sub>2</sub> to quantify point source emissions T. Krings et al. 10.5194/amt-11-721-2018
- Spectroscopic techniques conceptualized with the remote sensing of atmospheric carbon dioxide and other greenhouse gases B. Raychaudhuri 10.1080/05704928.2024.2326527
- 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
- Mapping methane point emissions with the PRISMA spaceborne imaging spectrometer L. Guanter et al. 10.1016/j.rse.2021.112671
- Exploiting the entire near-infrared spectral range to improve the detection of methane plumes with high-resolution imaging spectrometers J. Roger et al. 10.5194/amt-17-1333-2024
- Atmospheric remote sensing constraints on direct sea-air methane flux from the 22/4b North Sea massive blowout bubble plume K. Gerilowski et al. 10.1016/j.marpetgeo.2015.07.011
- Attribution of individual methane and carbon dioxide emission sources using EMIT observations from space A. Thorpe et al. 10.1126/sciadv.adh2391
- Space‐based remote imaging spectroscopy of the Aliso Canyon CH4 superemitter D. Thompson et al. 10.1002/2016GL069079
- Understanding the potential of Sentinel-2 for monitoring methane point emissions J. Gorroño et al. 10.5194/amt-16-89-2023
- Improved methane emission estimates using AVIRIS-NG and an Airborne Doppler Wind Lidar A. Thorpe et al. 10.1016/j.rse.2021.112681
- Advanced Leak Detection and Quantification of Methane Emissions Using sUAS D. Hollenbeck et al. 10.3390/drones5040117
- MethaNet – An AI-driven approach to quantifying methane point-source emission from high-resolution 2-D plume imagery S. Jongaramrungruang et al. 10.1016/j.rse.2021.112809
- Real-time remote detection and measurement for airborne imaging spectroscopy: a case study with methane D. Thompson et al. 10.5194/amt-8-4383-2015
- Methane remote sensing and emission quantification of offshore shallow water oil and gas platforms in the Gulf of Mexico A. Ayasse et al. 10.1088/1748-9326/ac8566
- Airborne methane remote measurements reveal heavy-tail flux distribution in Four Corners region C. Frankenberg et al. 10.1073/pnas.1605617113
- Matched Filter Based on the Radiative Transfer Model for CO2 Estimation From PRISMA Hyperspectral Data N. Acito et al. 10.1109/TGRS.2023.3327756
- Sensitivity and Uncertainty in Matched-Filter-Based Gas Detection With Imaging Spectroscopy J. Fahlen et al. 10.1109/TGRS.2024.3440174
- Airborne Mapping Reveals Emergent Power Law of Arctic Methane Emissions C. Elder et al. 10.1029/2019GL085707
- First TanSat CO2 retrieval over land and ocean using both nadir and glint spectroscopy X. Hong et al. 10.1016/j.rse.2024.114053
- Evaluation of thermal infrared hyperspectral imagery for the detection of onshore methane plumes: Significance for hydrocarbon exploration and monitoring R. Scafutto et al. 10.1016/j.jag.2017.07.002
- Advanced radiometry measurements and Earth science applications with the Airborne Prism Experiment (APEX) M. Schaepman et al. 10.1016/j.rse.2014.11.014
- 煤炭行业甲烷排放卫星遥感研究进展与展望 秦. Qin Kai et al. 10.3788/AOS231293
- An examination of enhanced atmospheric methane detection methods for predicting performance of a novel multiband uncooled radiometer imager C. Webber & J. Kerekes 10.5194/amt-13-5359-2020
- Remote sensing of methane plumes: instrument tradeoff analysis for detecting and quantifying local sources at global scale S. Jongaramrungruang et al. 10.5194/amt-14-7999-2021
- Detection and quantification of CH<sub>4</sub> plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data J. Borchardt et al. 10.5194/amt-14-1267-2021
- Mapping methane plumes at very high spatial resolution with the WorldView-3 satellite E. Sánchez-García et al. 10.5194/amt-15-1657-2022
- Retrieval of Global Carbon Dioxide From TanSat Satellite and Comprehensive Validation With TCCON Measurements and Satellite Observations X. Hong et al. 10.1109/TGRS.2021.3066623
- Geomorphological patterns of remotely sensed methane hot spots in the Mackenzie Delta, Canada L. Baskaran et al. 10.1088/1748-9326/ac41fb
- Characterizing Methane Emission Hotspots From Thawing Permafrost C. Elder et al. 10.1029/2020GB006922
- Quantifying methane emissions from United States landfills D. Cusworth et al. 10.1126/science.adi7735
- 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
- A uniformly most powerful detector of gas plumes against a cluttered background A. Schaum 10.1016/j.rse.2021.112443
- Using a deep neural network to detect methane point sources and quantify emissions from PRISMA hyperspectral satellite images P. Joyce et al. 10.5194/amt-16-2627-2023
- Improving quantification of methane point source emissions from imaging spectroscopy Z. Pei et al. 10.1016/j.rse.2023.113652
- Methane Retrieval Algorithms Based on Satellite: A Review Y. Jiang et al. 10.3390/atmos15040449
- 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
- Mapping methane concentrations from a controlled release experiment using the next generation airborne visible/infrared imaging spectrometer (AVIRIS-NG) A. Thorpe et al. 10.1016/j.rse.2016.03.032
- Airborne DOAS retrievals of methane, carbon dioxide, and water vapor concentrations at high spatial resolution: application to AVIRIS-NG A. Thorpe et al. 10.5194/amt-10-3833-2017
- Satellite-based survey of extreme methane emissions in the Permian basin I. Irakulis-Loitxate et al. 10.1126/sciadv.abf4507
- Impact of scene-specific enhancement spectra on matched filter greenhouse gas retrievals from imaging spectroscopy M. Foote et al. 10.1016/j.rse.2021.112574
- Atmospheric composition and thermodynamic retrievals from the ARIES airborne FTS system – Part 1: Technical aspects and simulated capability S. Illingworth et al. 10.5194/amt-7-1133-2014
- Challenges in Methane Column Retrievals from AVIRIS-NG Imagery over Spectrally Cluttered Surfaces: A Sensitivity Analysis M. Zhang et al. 10.3390/rs9080835
Saved (final revised paper)
Latest update: 21 Nov 2024