Articles | Volume 10, issue 9
https://doi.org/10.5194/amt-10-3429-2017
© Author(s) 2017. 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-10-3429-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 Sep 2017
Research article |
| 20 Sep 2017
Methane emissions from a Californian landfill, determined from airborne remote sensing and in situ measurements
Sven Krautwurst
CORRESPONDING AUTHOR
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Konstantin Gerilowski
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Haflidi H. Jonsson
Center for Interdisciplinary Remotely-Piloted Aircraft Studies (CIRPAS), Marina, CA, USA
David R. Thompson
Jet Propulsion Laboratory (JPL), California Institute of Technology (Caltech), Pasadena, CA, USA
Richard W. Kolyer
Earth Science Division, NASA Ames Research Center (ARC), Mountain View, CA, USA
Laura T. Iraci
Earth Science Division, NASA Ames Research Center (ARC), Mountain View, CA, USA
Andrew K. Thorpe
Jet Propulsion Laboratory (JPL), California Institute of Technology (Caltech), Pasadena, CA, USA
Markus Horstjann
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Michael Eastwood
Jet Propulsion Laboratory (JPL), California Institute of Technology (Caltech), Pasadena, CA, USA
Ira Leifer
Bubbleology Research International (BRI), Goleta, CA, USA
Samuel A. Vigil
California Polytechnic State University (CalPoly), San Luis Obispo, CA, USA
Thomas Krings
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Jakob Borchardt
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Michael Buchwitz
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Matthew M. Fladeland
Earth Science Division, NASA Ames Research Center (ARC), Mountain View, CA, USA
John P. Burrows
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Heinrich Bovensmann
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Viewed
Total article views: 4,453 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 16 Dec 2016)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,681 | 1,635 | 137 | 4,453 | 447 | 126 | 154 |
- HTML: 2,681
- PDF: 1,635
- XML: 137
- Total: 4,453
- Supplement: 447
- BibTeX: 126
- EndNote: 154
Total article views: 3,577 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Sep 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,196 | 1,285 | 96 | 3,577 | 240 | 95 | 115 |
- HTML: 2,196
- PDF: 1,285
- XML: 96
- Total: 3,577
- Supplement: 240
- BibTeX: 95
- EndNote: 115
Total article views: 876 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 16 Dec 2016)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 485 | 350 | 41 | 876 | 207 | 31 | 39 |
- HTML: 485
- PDF: 350
- XML: 41
- Total: 876
- Supplement: 207
- BibTeX: 31
- EndNote: 39
Viewed (geographical distribution)
Total article views: 4,453 (including HTML, PDF, and XML)
Thereof 4,343 with geography defined
and 110 with unknown origin.
Total article views: 3,577 (including HTML, PDF, and XML)
Thereof 3,485 with geography defined
and 92 with unknown origin.
Total article views: 876 (including HTML, PDF, and XML)
Thereof 858 with geography defined
and 18 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
31 citations as recorded by crossref.
- Imaging Spectroscopy for the Detection, Assessment and Monitoring of Natural and Anthropogenic Hazards C. Ong et al. 10.1007/s10712-019-09523-1
- Improved methane emission estimates using AVIRIS-NG and an Airborne Doppler Wind Lidar A. Thorpe et al. 10.1016/j.rse.2021.112681
- A Near-Field Gaussian Plume Inversion Flux Quantification Method, Applied to Unmanned Aerial Vehicle Sampling A. Shah et al. 10.3390/atmos10070396
- Airborne Mapping Reveals Emergent Power Law of Arctic Methane Emissions C. Elder et al. 10.1029/2019GL085707
- California’s methane super-emitters R. Duren et al. 10.1038/s41586-019-1720-3
- Robust probabilities of detection and quantification uncertainty for aerial methane detection: Examples for three airborne technologies B. Conrad et al. 10.1016/j.rse.2023.113499
- Local-to-regional methane emissions from the Upper Silesian Coal Basin (USCB) quantified using UAV-based atmospheric measurements T. Andersen et al. 10.5194/acp-23-5191-2023
- 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
- High-Resolution Methane Mapping With the EnMAP Satellite Imaging Spectroscopy Mission J. Roger et al. 10.1109/TGRS.2024.3352403
- Simulation evaluation of a single-photon laser methane remote sensor for leakage rate monitoring S. Zhu et al. 10.1364/OE.513894
- User needs for future Landsat missions Z. Wu et al. 10.1016/j.rse.2019.111214
- Estimating CH<sub>4</sub>, CO<sub>2</sub> and CO emissions from coal mining and industrial activities in the Upper Silesian Coal Basin using an aircraft-based mass balance approach A. Fiehn et al. 10.5194/acp-20-12675-2020
- Detection and long-term quantification of methane emissions from an active landfill P. Kumar et al. 10.5194/amt-17-1229-2024
- 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
- Biomarkers of oxidative stress and cell damage in freshwater bivalves Diplodon parodizi exposed to landfill leachate J. Prestes et al. 10.1007/s11356-020-08721-4
- 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
- Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities S. Zhang et al. 10.1016/j.scitotenv.2023.164701
- GreenHouse gas Observations of the Stratosphere and Troposphere (GHOST): an airborne shortwave-infrared spectrometer for remote sensing of greenhouse gases N. Humpage et al. 10.5194/amt-11-5199-2018
- 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
- Suitability of a Non-Dispersive Infrared Methane Sensor Package for Flux Quantification Using an Unmanned Aerial Vehicle A. Shah et al. 10.3390/s19214705
- Using remote sensing to detect, validate, and quantify methane emissions from California solid waste operations D. Cusworth et al. 10.1088/1748-9326/ab7b99
- Quantification of CH<sub>4</sub> coal mining emissions in Upper Silesia by passive airborne remote sensing observations with the Methane Airborne MAPper (MAMAP) instrument during the CO<sub>2</sub> and Methane (CoMet) campaign S. Krautwurst et al. 10.5194/acp-21-17345-2021
- 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
- Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
- MERLIN: A French-German Space Lidar Mission Dedicated to Atmospheric Methane G. Ehret et al. 10.3390/rs9101052
- 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
- The BioChemical Clogging of Landfill Leachate Collection System: Based on Laboratory Studies Y. Liu & J. Liu 10.3390/ijerph17072299
- Gas concentration and flow rate measurements as part of methane baseline assessment: Case of the Fontaine Ardente gas seep, Isère, France F. Gal et al. 10.1016/j.apgeochem.2018.05.019
- Reduced Methane Emissions from Santa Barbara Marine Seeps T. Krings et al. 10.3390/rs9111162
- Assessment of methane emissions from a California landfill using concurrent experimental, inventory, and modeling approaches N. Yeşiller et al. 10.1016/j.wasman.2022.09.024
- Methane emissions from underground gas storage in California A. Thorpe et al. 10.1088/1748-9326/ab751d
31 citations as recorded by crossref.
- Imaging Spectroscopy for the Detection, Assessment and Monitoring of Natural and Anthropogenic Hazards C. Ong et al. 10.1007/s10712-019-09523-1
- Improved methane emission estimates using AVIRIS-NG and an Airborne Doppler Wind Lidar A. Thorpe et al. 10.1016/j.rse.2021.112681
- A Near-Field Gaussian Plume Inversion Flux Quantification Method, Applied to Unmanned Aerial Vehicle Sampling A. Shah et al. 10.3390/atmos10070396
- Airborne Mapping Reveals Emergent Power Law of Arctic Methane Emissions C. Elder et al. 10.1029/2019GL085707
- California’s methane super-emitters R. Duren et al. 10.1038/s41586-019-1720-3
- Robust probabilities of detection and quantification uncertainty for aerial methane detection: Examples for three airborne technologies B. Conrad et al. 10.1016/j.rse.2023.113499
- Local-to-regional methane emissions from the Upper Silesian Coal Basin (USCB) quantified using UAV-based atmospheric measurements T. Andersen et al. 10.5194/acp-23-5191-2023
- 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
- High-Resolution Methane Mapping With the EnMAP Satellite Imaging Spectroscopy Mission J. Roger et al. 10.1109/TGRS.2024.3352403
- Simulation evaluation of a single-photon laser methane remote sensor for leakage rate monitoring S. Zhu et al. 10.1364/OE.513894
- User needs for future Landsat missions Z. Wu et al. 10.1016/j.rse.2019.111214
- Estimating CH<sub>4</sub>, CO<sub>2</sub> and CO emissions from coal mining and industrial activities in the Upper Silesian Coal Basin using an aircraft-based mass balance approach A. Fiehn et al. 10.5194/acp-20-12675-2020
- Detection and long-term quantification of methane emissions from an active landfill P. Kumar et al. 10.5194/amt-17-1229-2024
- 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
- Biomarkers of oxidative stress and cell damage in freshwater bivalves Diplodon parodizi exposed to landfill leachate J. Prestes et al. 10.1007/s11356-020-08721-4
- 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
- Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities S. Zhang et al. 10.1016/j.scitotenv.2023.164701
- GreenHouse gas Observations of the Stratosphere and Troposphere (GHOST): an airborne shortwave-infrared spectrometer for remote sensing of greenhouse gases N. Humpage et al. 10.5194/amt-11-5199-2018
- 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
- Suitability of a Non-Dispersive Infrared Methane Sensor Package for Flux Quantification Using an Unmanned Aerial Vehicle A. Shah et al. 10.3390/s19214705
- Using remote sensing to detect, validate, and quantify methane emissions from California solid waste operations D. Cusworth et al. 10.1088/1748-9326/ab7b99
- Quantification of CH<sub>4</sub> coal mining emissions in Upper Silesia by passive airborne remote sensing observations with the Methane Airborne MAPper (MAMAP) instrument during the CO<sub>2</sub> and Methane (CoMet) campaign S. Krautwurst et al. 10.5194/acp-21-17345-2021
- 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
- Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
- MERLIN: A French-German Space Lidar Mission Dedicated to Atmospheric Methane G. Ehret et al. 10.3390/rs9101052
- 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
- The BioChemical Clogging of Landfill Leachate Collection System: Based on Laboratory Studies Y. Liu & J. Liu 10.3390/ijerph17072299
- Gas concentration and flow rate measurements as part of methane baseline assessment: Case of the Fontaine Ardente gas seep, Isère, France F. Gal et al. 10.1016/j.apgeochem.2018.05.019
- Reduced Methane Emissions from Santa Barbara Marine Seeps T. Krings et al. 10.3390/rs9111162
- Assessment of methane emissions from a California landfill using concurrent experimental, inventory, and modeling approaches N. Yeşiller et al. 10.1016/j.wasman.2022.09.024
- Methane emissions from underground gas storage in California A. Thorpe et al. 10.1088/1748-9326/ab751d
Latest update: 19 Apr 2024
Short summary
This study investigates a subset of data collected during the CO2 and Methane EXperiment (COMEX) in 2014. It focuses on airborne measurements to quantify the emissions from landfills in the Los Angeles Basin. Airborne remote sensing data have been used to estimate the emission rate of one particular landfill on four different days. The results have been compared to airborne in situ measurements. Airborne imaging spectroscopy has been used to identify emission hotspots across the landfill.
This study investigates a subset of data collected during the CO2 and Methane EXperiment (COMEX)...
