Articles | Volume 9, issue 7
https://doi.org/10.5194/amt-9-3165-2016
© Author(s) 2016. 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-9-3165-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Jul 2016
Research article |
| 21 Jul 2016
Characterization of anthropogenic methane plumes with the Hyperspectral Thermal Emission Spectrometer (HyTES): a retrieval method and error analysis
Joint Institute for Regional Earth System Science & Engineering,
University of California, Los Angeles, USA
John R. Worden
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
King-Fai Li
Department of Applied Mathematics, University of Washington, Seattle, Washington,
USA
Glynn C. Hulley
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
Francesca M. Hopkins
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
Charles E. Miller
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
Simon J. Hook
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
Riley M. Duren
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
Andrew D. Aubrey
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
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Cited
17 citations as recorded by crossref.
- Plant species' spectral emissivity and temperature using the hyperspectral thermal emission spectrometer (HyTES) sensor S. Meerdink et al. 10.1016/j.rse.2019.02.009
- 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
- Comparison of Methane Detection Using Shortwave and Longwave Infrared Hyperspectral Sensors Under Varying Environmental Conditions L. Zimmerman & J. Kerekes 10.1109/JSTARS.2023.3247246
- Hyperspectral remote sensing of fire: State-of-the-art and future perspectives S. Veraverbeke et al. 10.1016/j.rse.2018.06.020
- Application of airborne and spaceborne hyperspectral imaging techniques for atmospheric research: past, present, and future M. Calin et al. 10.1080/05704928.2020.1774381
- A XCO Retrieval Algorithm Coupled Spatial Correlation for the Aerosol and Carbon Detection Lidar Z. Pei et al. 10.1016/j.atmosenv.2023.119933
- MAHI: An Airborne Mid-Infrared Imaging Spectrometer for Industrial Emissions Monitoring D. Tratt et al. 10.1109/TGRS.2017.2693979
- Detection of heavy hydrocarbon plumes (Ethane, propane and Butane) using airborne longwave (7.6–13.5 μm) infrared hyperspectral data R. Scafutto & C. de Souza Filho 10.1016/j.fuel.2018.12.127
- Identification and source attribution of halocarbon emitters with longwave-infrared spectral imaging D. Tratt et al. 10.1016/j.rse.2021.112398
- Estimation of hazardous and noxious substance (toluene) thickness using hyperspectral remote sensing J. Park et al. 10.3389/fenvs.2023.1130585
- Quantification of Ammonia Emissions With High Spatial Resolution Thermal Infrared Observations From the Hyperspectral Thermal Emission Spectrometer (HyTES) Airborne Instrument L. Kuai et al. 10.1109/JSTARS.2019.2918093
- Controlled-release experiment to investigate uncertainties in UAV-based emission quantification for methane point sources R. Morales et al. 10.5194/amt-15-2177-2022
- Quantifying uncertainties from mobile-laboratory-derived emissions of well pads using inverse Gaussian methods D. Caulton et al. 10.5194/acp-18-15145-2018
- Tracking and quantification of gaseous chemical plumes from anthropogenic emission sources within the Los Angeles Basin K. Buckland et al. 10.1016/j.rse.2017.09.012
- 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
- 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
- Challenges in Methane Column Retrievals from AVIRIS-NG Imagery over Spectrally Cluttered Surfaces: A Sensitivity Analysis M. Zhang et al. 10.3390/rs9080835
15 citations as recorded by crossref.
- Plant species' spectral emissivity and temperature using the hyperspectral thermal emission spectrometer (HyTES) sensor S. Meerdink et al. 10.1016/j.rse.2019.02.009
- 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
- Comparison of Methane Detection Using Shortwave and Longwave Infrared Hyperspectral Sensors Under Varying Environmental Conditions L. Zimmerman & J. Kerekes 10.1109/JSTARS.2023.3247246
- Hyperspectral remote sensing of fire: State-of-the-art and future perspectives S. Veraverbeke et al. 10.1016/j.rse.2018.06.020
- Application of airborne and spaceborne hyperspectral imaging techniques for atmospheric research: past, present, and future M. Calin et al. 10.1080/05704928.2020.1774381
- A XCO Retrieval Algorithm Coupled Spatial Correlation for the Aerosol and Carbon Detection Lidar Z. Pei et al. 10.1016/j.atmosenv.2023.119933
- MAHI: An Airborne Mid-Infrared Imaging Spectrometer for Industrial Emissions Monitoring D. Tratt et al. 10.1109/TGRS.2017.2693979
- Detection of heavy hydrocarbon plumes (Ethane, propane and Butane) using airborne longwave (7.6–13.5 μm) infrared hyperspectral data R. Scafutto & C. de Souza Filho 10.1016/j.fuel.2018.12.127
- Identification and source attribution of halocarbon emitters with longwave-infrared spectral imaging D. Tratt et al. 10.1016/j.rse.2021.112398
- Estimation of hazardous and noxious substance (toluene) thickness using hyperspectral remote sensing J. Park et al. 10.3389/fenvs.2023.1130585
- Quantification of Ammonia Emissions With High Spatial Resolution Thermal Infrared Observations From the Hyperspectral Thermal Emission Spectrometer (HyTES) Airborne Instrument L. Kuai et al. 10.1109/JSTARS.2019.2918093
- Controlled-release experiment to investigate uncertainties in UAV-based emission quantification for methane point sources R. Morales et al. 10.5194/amt-15-2177-2022
- Quantifying uncertainties from mobile-laboratory-derived emissions of well pads using inverse Gaussian methods D. Caulton et al. 10.5194/acp-18-15145-2018
- Tracking and quantification of gaseous chemical plumes from anthropogenic emission sources within the Los Angeles Basin K. Buckland et al. 10.1016/j.rse.2017.09.012
- 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
2 citations as recorded by crossref.
- 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
- Challenges in Methane Column Retrievals from AVIRIS-NG Imagery over Spectrally Cluttered Surfaces: A Sensitivity Analysis M. Zhang et al. 10.3390/rs9080835
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Latest update: 18 Apr 2024
Short summary
This paper describes the retrieval algorithm to estimate the lower tropospheric methane concentrations using Hyperspectral Thermal Emission Spectrometer (HyTES) airborne measurements. This project aims to map and detect methane plumes from the oil leaking or dairy emission. Our results demonstrate an example of the quantitative retrievals, imaged a big methane plume from storage tanks near Kern River Oil Field. The methane enhancement is well above the uncertainties of the estimates.
This paper describes the retrieval algorithm to estimate the lower tropospheric methane...
