Articles | Volume 25, issue 21
https://doi.org/10.5194/acp-25-14669-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-14669-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Identification and quantification of CH4 emissions from Madrid landfills using airborne imaging spectrometry and greenhouse gas lidar
Sven Krautwurst
CORRESPONDING AUTHOR
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Christian Fruck
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Sebastian Wolff
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Jakob Borchardt
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Konstantin Gerilowski
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Michał Gałkowski
Department Biogeochemical Signals, Max Planck Institute for Biogeochemistry, Jena, Germany
Faculty of Physics and Applied Computer Science, AGH University of Kraków, Kraków, Poland
Christoph Kiemle
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Mathieu Quatrevalet
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Martin Wirth
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Christian Mallaun
Flugexperimente, Deutsches Zentrum für Luft- und Raumfahrt, Oberpfaffenhofen, Germany
John P. Burrows
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Christoph Gerbig
Department Biogeochemical Signals, Max Planck Institute for Biogeochemistry, Jena, Germany
Andreas Fix
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Hartmut Bösch
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Heinrich Bovensmann
Institute of Environmental Physics, University of Bremen, Bremen, Germany
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Cited
7 citations as recorded by crossref.
- Quantifying agricultural N2O and CH4 emissions in the Netherlands using an airborne eddy covariance system P. Waldmann et al. https://doi.org/10.5194/amt-19-185-2026
- Evaluation of coal mine methane inventory methods using aircraft-based approaches in the Bowen Basin, Australia S. Harris et al. https://doi.org/10.5194/acp-26-10043-2026
- A review of landfill methane emission detection, localization, and quantification systems M. Lavoie et al. https://doi.org/10.1525/elementa.2025.00114
- Impact of stray light on greenhouse gas concentration retrievals and emission estimates as observed with the passive airborne remote sensing imager MAMAP2D-Light O. Huhs et al. https://doi.org/10.5194/amt-19-871-2026
- Advances in methane sensor development: From fundamentals to field deployment and future perspective M. Chen et al. https://doi.org/10.1016/j.cej.2026.177199
- Quantifying CH4 point source emissions with airborne remote sensing: first results from AVIRIS-4 S. Meier et al. https://doi.org/10.5194/amt-19-333-2026
- Seasonal Landfill Methane Emissions Driven by Temperature and Pressure A. Hallward-Driemeier et al. https://doi.org/10.1021/acs.est.5c16757
7 citations as recorded by crossref.
- Quantifying agricultural N2O and CH4 emissions in the Netherlands using an airborne eddy covariance system P. Waldmann et al. https://doi.org/10.5194/amt-19-185-2026
- Evaluation of coal mine methane inventory methods using aircraft-based approaches in the Bowen Basin, Australia S. Harris et al. https://doi.org/10.5194/acp-26-10043-2026
- A review of landfill methane emission detection, localization, and quantification systems M. Lavoie et al. https://doi.org/10.1525/elementa.2025.00114
- Impact of stray light on greenhouse gas concentration retrievals and emission estimates as observed with the passive airborne remote sensing imager MAMAP2D-Light O. Huhs et al. https://doi.org/10.5194/amt-19-871-2026
- Advances in methane sensor development: From fundamentals to field deployment and future perspective M. Chen et al. https://doi.org/10.1016/j.cej.2026.177199
- Quantifying CH4 point source emissions with airborne remote sensing: first results from AVIRIS-4 S. Meier et al. https://doi.org/10.5194/amt-19-333-2026
- Seasonal Landfill Methane Emissions Driven by Temperature and Pressure A. Hallward-Driemeier et al. https://doi.org/10.1021/acs.est.5c16757
Saved (final revised paper)
Latest update: 21 Jul 2026
Short summary
Anomalously high CH4 emissions from landfills in Madrid, Spain, have been observed by satellite measurements in recent years. Our investigations of these waste facilities, using passive and active airborne remote sensing measurements, confirm these high emission rates with values of up to 13 th−1 during the overflight and show excellent agreement between the two techniques. A large fraction of the emissions is attributed to active landfill sites.
Anomalously high CH4 emissions from landfills in Madrid, Spain, have been observed by satellite...
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