Articles | Volume 18, issue 22
https://doi.org/10.5194/amt-18-6933-2025
© 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/amt-18-6933-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Nov 2025
Research article |
| 24 Nov 2025
| 24 Nov 2025
The Carbon Mapper emissions monitoring system
Carbon Mapper, Pasadena, 91105, USA
Daniel Cusworth
Carbon Mapper, Pasadena, 91105, USA
Alana Ayasse
Carbon Mapper, Pasadena, 91105, USA
Katherine Howell
Carbon Mapper, Pasadena, 91105, USA
Alex Diamond
Carbon Mapper, Pasadena, 91105, USA
Tia Scarpelli
Carbon Mapper, Pasadena, 91105, USA
Jinsol Kim
Carbon Mapper, Pasadena, 91105, USA
Kelly O'neill
Carbon Mapper, Pasadena, 91105, USA
Judy Lai-Norling
Carbon Mapper, Pasadena, 91105, USA
Andrew Thorpe
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 91109, USA
Sander R. Zandbergen
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 91109, USA
Lucas Shaw
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 91109, USA
Mark Keremedjiev
Planet Labs PBC, San Francisco, 94107, USA
Jeff Guido
Planet Labs PBC, San Francisco, 94107, USA
Paul Giuliano
Planet Labs PBC, San Francisco, 94107, USA
Malkam Goldstein
Planet Labs PBC, San Francisco, 94107, USA
Ravi Nallapu
Planet Labs PBC, San Francisco, 94107, USA
Geert Barentsen
Planet Labs PBC, San Francisco, 94107, USA
David R. Thompson
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 91109, USA
Keely Roth
Planet Labs PBC, San Francisco, 94107, USA
Daniel Jensen
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 91109, USA
Michael Eastwood
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 91109, USA
Frances Reuland
Department of Energy Science and Engineering, Stanford University, Stanford, 94305, USA
Taylor Adams
Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, 48109, USA
Adam Brandt
Department of Energy Science and Engineering, Stanford University, Stanford, 94305, USA
Eric A. Kort
Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, 48109, USA
James Mason
Planet Labs PBC, San Francisco, 94107, USA
Robert O. Green
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 91109, USA
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Cited
26 citations as recorded by crossref.
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- Mapping Live Coral: Comparing Spaceborne to Airborne Imaging Spectroscopy G. Asner et al. https://doi.org/10.3390/rs18030435
- Monitoring nitrogen oxide emissions from cement plants in Nigeria and Egypt using satellite observations S. Järvinen et al. https://doi.org/10.1016/j.aeaoa.2026.100477
- Global high-resolution mapping of seagrass to support conservation J. Peng et al. https://doi.org/10.1038/s41586-026-10704-3
- Methane intensity and emissions across major oil and gas basins and individual jurisdictions using MethaneSAT observations J. Williams et al. https://doi.org/10.5194/acp-26-5961-2026
- Investigation and experimental validation of a CH<sub>4</sub> point-source detection method based on a Fabry-Pérot interferometer Q. ZHANG et al. https://doi.org/10.7498/aps.75.20260051
- Photon flux-based radiometric calibration of HgCdTe detector for greenhouse gas sensing on ThaparSat microsatellite T. Sharma et al. https://doi.org/10.1016/j.optcom.2026.133455
- Evaluation of satellite-derived methane emissions from coal mines using the Gaussian plume model in a topographically complex area Y. Gao et al. https://doi.org/10.1016/j.atmosenv.2026.122004
- HyperGas 1.0: a python package for analyzing hyperspectral data for greenhouse gases from retrieval to emission rate quantification X. Zhang et al. https://doi.org/10.5194/gmd-19-5979-2026
- Surveying methane point-source super-emissions across oil and gas basins with MethaneSAT L. Guanter et al. https://doi.org/10.5194/acp-26-2941-2026
- A Decade of Optical Remote Sensing Applications in Marine Biodiversity and Benthic Habitat Monitoring: A Systematic Review L. Martín-García et al. https://doi.org/10.3390/rs18121917
- Quantifying facility-scale CO2 emissions using spaceborne hyperspectral imageries G. Han et al. https://doi.org/10.1016/j.rse.2026.115478
- Airborne imaging spectrometer measurements of methane releases under turbulent conditions M. Queißer et al. https://doi.org/10.1080/01431161.2026.2710354
- Beyond localized methane plume detection: a dual-path deep learning framework for sensor-agnostic global hyperspectral methane plume monitoring S. Yang et al. https://doi.org/10.1038/s41612-026-01387-8
- Remote Sensing Enables Basin-Scale Inventories of Coal Mine Methane E. Penn et al. https://doi.org/10.1021/acs.est.5c14976
- 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
- Facility-Scale Detection and Quantification of Gas Flaring Using Imaging Spectrometers J. Kim et al. https://doi.org/10.1021/acsestair.6c00181
- High-Resolution Global Methane Mapping: Advances in Satellite Remote Sensing, Machine Learning, and Policy Frameworks A. Singh & . Madhubala https://doi.org/10.3390/methane5030021
- Improved Quantification of Methane Point-Source Emissions from Hyperspectral Imagery Using a Spectrally Corrected Levenberg–Marquardt Matched Filter Z. He et al. https://doi.org/10.3390/rs18081195
- Regional carbon neutrality and greenhouse gas monitoring of satellite sensing technology P. Fu et al. https://doi.org/10.1016/j.ecofro.2026.03.015
- Fugitive Methane Monitoring: A Systems Review of Physics, Technology, Economics, and Regulation P. Sobron https://doi.org/10.3390/rs18142433
- Coordinated satellite, aircraft, and ground-based observations of a large transient methane release T. He et al. https://doi.org/10.1073/pnas.2603595123
- Global monitoring of methane point sources using deep learning on hyperspectral radiance measurements from EMIT V. Batchu et al. https://doi.org/10.1073/pnas.2612145123
- Joint Estimation of the Global Facility-Scale Oil–Gas Methane Emission Rate Distribution and Survey-Mode Detection Probabilities from Multiple Satellite Systems D. Jervis et al. https://doi.org/10.1021/acs.est.5c17089
- Advances in Satellite-Based Monitoring of Urban Emission Sources and Air Quality: A Review S. Naderi et al. https://doi.org/10.1007/s11270-025-09009-4
- Automatic methane plume masking based on wavelet transform image processing: application to MethaneAIR and MethaneSAT data Z. Zhang et al. https://doi.org/10.5194/amt-19-4637-2026
26 citations as recorded by crossref.
- Mapping ammonia emission plumes using shortwave infrared imaging spectroscopy N. Balasus et al. https://doi.org/10.1073/pnas.2605694123
- Mapping Live Coral: Comparing Spaceborne to Airborne Imaging Spectroscopy G. Asner et al. https://doi.org/10.3390/rs18030435
- Monitoring nitrogen oxide emissions from cement plants in Nigeria and Egypt using satellite observations S. Järvinen et al. https://doi.org/10.1016/j.aeaoa.2026.100477
- Global high-resolution mapping of seagrass to support conservation J. Peng et al. https://doi.org/10.1038/s41586-026-10704-3
- Methane intensity and emissions across major oil and gas basins and individual jurisdictions using MethaneSAT observations J. Williams et al. https://doi.org/10.5194/acp-26-5961-2026
- Investigation and experimental validation of a CH<sub>4</sub> point-source detection method based on a Fabry-Pérot interferometer Q. ZHANG et al. https://doi.org/10.7498/aps.75.20260051
- Photon flux-based radiometric calibration of HgCdTe detector for greenhouse gas sensing on ThaparSat microsatellite T. Sharma et al. https://doi.org/10.1016/j.optcom.2026.133455
- Evaluation of satellite-derived methane emissions from coal mines using the Gaussian plume model in a topographically complex area Y. Gao et al. https://doi.org/10.1016/j.atmosenv.2026.122004
- HyperGas 1.0: a python package for analyzing hyperspectral data for greenhouse gases from retrieval to emission rate quantification X. Zhang et al. https://doi.org/10.5194/gmd-19-5979-2026
- Surveying methane point-source super-emissions across oil and gas basins with MethaneSAT L. Guanter et al. https://doi.org/10.5194/acp-26-2941-2026
- A Decade of Optical Remote Sensing Applications in Marine Biodiversity and Benthic Habitat Monitoring: A Systematic Review L. Martín-García et al. https://doi.org/10.3390/rs18121917
- Quantifying facility-scale CO2 emissions using spaceborne hyperspectral imageries G. Han et al. https://doi.org/10.1016/j.rse.2026.115478
- Airborne imaging spectrometer measurements of methane releases under turbulent conditions M. Queißer et al. https://doi.org/10.1080/01431161.2026.2710354
- Beyond localized methane plume detection: a dual-path deep learning framework for sensor-agnostic global hyperspectral methane plume monitoring S. Yang et al. https://doi.org/10.1038/s41612-026-01387-8
- Remote Sensing Enables Basin-Scale Inventories of Coal Mine Methane E. Penn et al. https://doi.org/10.1021/acs.est.5c14976
- 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
- Facility-Scale Detection and Quantification of Gas Flaring Using Imaging Spectrometers J. Kim et al. https://doi.org/10.1021/acsestair.6c00181
- High-Resolution Global Methane Mapping: Advances in Satellite Remote Sensing, Machine Learning, and Policy Frameworks A. Singh & . Madhubala https://doi.org/10.3390/methane5030021
- Improved Quantification of Methane Point-Source Emissions from Hyperspectral Imagery Using a Spectrally Corrected Levenberg–Marquardt Matched Filter Z. He et al. https://doi.org/10.3390/rs18081195
- Regional carbon neutrality and greenhouse gas monitoring of satellite sensing technology P. Fu et al. https://doi.org/10.1016/j.ecofro.2026.03.015
- Fugitive Methane Monitoring: A Systems Review of Physics, Technology, Economics, and Regulation P. Sobron https://doi.org/10.3390/rs18142433
- Coordinated satellite, aircraft, and ground-based observations of a large transient methane release T. He et al. https://doi.org/10.1073/pnas.2603595123
- Global monitoring of methane point sources using deep learning on hyperspectral radiance measurements from EMIT V. Batchu et al. https://doi.org/10.1073/pnas.2612145123
- Joint Estimation of the Global Facility-Scale Oil–Gas Methane Emission Rate Distribution and Survey-Mode Detection Probabilities from Multiple Satellite Systems D. Jervis et al. https://doi.org/10.1021/acs.est.5c17089
- Advances in Satellite-Based Monitoring of Urban Emission Sources and Air Quality: A Review S. Naderi et al. https://doi.org/10.1007/s11270-025-09009-4
- Automatic methane plume masking based on wavelet transform image processing: application to MethaneAIR and MethaneSAT data Z. Zhang et al. https://doi.org/10.5194/amt-19-4637-2026
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Latest update: 21 Sep 2026
Short summary
We describe the Carbon Mapper emissions monitoring system including methane and carbon dioxide observations from the constellation of Tanager hyperspectral satellites, a global monitoring strategy optimized for enabling mitigation impact at the scale of individual facilities, and a data platform that delivers timely and transparent information for diverse stakeholders. We present early findings from Tanager-1 including the use of our data to locate and repair a leaking oil and gas pipeline.
We describe the Carbon Mapper emissions monitoring system including methane and carbon dioxide...
