Articles | Volume 15, issue 6
https://doi.org/10.5194/amt-15-1657-2022
© Author(s) 2022. 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-15-1657-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Mar 2022
Research article |
| 21 Mar 2022
| 21 Mar 2022
Mapping methane plumes at very high spatial resolution with the WorldView-3 satellite
Elena Sánchez-García
CORRESPONDING AUTHOR
Research Institute of Water and Environmental Engineering (IIAMA),
Universitat Politècnica de València, Valencia, Spain
Javier Gorroño
Research Institute of Water and Environmental Engineering (IIAMA),
Universitat Politècnica de València, Valencia, Spain
Itziar Irakulis-Loitxate
Research Institute of Water and Environmental Engineering (IIAMA),
Universitat Politècnica de València, Valencia, Spain
Daniel J. Varon
School of Engineering and Applied Sciences, Harvard University,
Cambridge, MA, USA
Luis Guanter
Research Institute of Water and Environmental Engineering (IIAMA),
Universitat Politècnica de València, Valencia, Spain
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Cited
29 citations as recorded by crossref.
- Methane Retrieval Algorithms Based on Satellite: A Review Y. Jiang et al. 10.3390/atmos15040449
- Monitoring Methane Emissions from Oil and Gas Operations W. Collins et al. 10.1103/PRXEnergy.1.017001
- Methane point source quantification using MethaneAIR: a new airborne imaging spectrometer A. Chulakadabba et al. 10.5194/amt-16-5771-2023
- Understanding the potential of Sentinel-2 for monitoring methane point emissions J. Gorroño et al. 10.5194/amt-16-89-2023
- Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations Z. Chen et al. 10.5194/acp-22-10809-2022
- 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
- Onshore methane emissions measurements from the oil and gas industry: a scoping review C. Vollrath et al. 10.1088/2515-7620/ad3129
- Satellite quantification of methane emissions and oil–gas methane intensities from individual countries in the Middle East and North Africa: implications for climate action Z. Chen et al. 10.5194/acp-23-5945-2023
- Detecting and quantifying methane emissions from oil and gas production: algorithm development with ground-truth calibration based on Sentinel-2 satellite imagery Z. Zhang et al. 10.5194/amt-15-7155-2022
- Automated detection and monitoring of methane super-emitters using satellite data B. Schuit et al. 10.5194/acp-23-9071-2023
- Global observational coverage of onshore oil and gas methane sources with TROPOMI M. Gao et al. 10.1038/s41598-023-41914-8
- Calibration of Maxar Constellation Over Libya-4 Site Using MAIAC Technique M. Choi et al. 10.1109/JSTARS.2024.3367250
- Daily detection and quantification of methane leaks using Sentinel-3: a tiered satellite observation approach with Sentinel-2 and Sentinel-5p S. Pandey et al. 10.1016/j.rse.2023.113716
- The Nord Stream pipeline gas leaks released approximately 220,000 tonnes of methane into the atmosphere M. Jia et al. 10.1016/j.ese.2022.100210
- 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
- Satellites Detect a Methane Ultra-emission Event from an Offshore Platform in the Gulf of Mexico I. Irakulis-Loitxate et al. 10.1021/acs.estlett.2c00225
- Attribution of individual methane and carbon dioxide emission sources using EMIT observations from space A. Thorpe et al. 10.1126/sciadv.adh2391
- Toward a versatile spaceborne architecture for immediate monitoring of the global methane pledge Y. Wang et al. 10.5194/acp-23-5233-2023
- Monitoring methane emissions from oil and gas operations‡ W. Collins et al. 10.1364/OE.464421
- Improving quantification of methane point source emissions from imaging spectroscopy Z. Pei et al. 10.1016/j.rse.2023.113652
- Assessing the Relative Importance of Satellite-Detected Methane Superemitters in Quantifying Total Emissions for Oil and Gas Production Areas in Algeria S. Naus et al. 10.1021/acs.est.3c04746
- Semantic segmentation of methane plumes with hyperspectral machine learning models V. Růžička et al. 10.1038/s41598-023-44918-6
- Individual coal mine methane emissions constrained by eddy covariance measurements: low bias and missing sources K. Qin et al. 10.5194/acp-24-3009-2024
- Exploiting the Matched Filter to Improve the Detection of Methane Plumes with Sentinel-2 Data H. Wang et al. 10.3390/rs16061023
- The role of satellite remote sensing in mitigating and adapting to global climate change S. Zhao et al. 10.1016/j.scitotenv.2023.166820
- S2MetNet: A novel dataset and deep learning benchmark for methane point source quantification using Sentinel-2 satellite imagery A. Radman et al. 10.1016/j.rse.2023.113708
- Continuous weekly monitoring of methane emissions from the Permian Basin by inversion of TROPOMI satellite observations D. Varon et al. 10.5194/acp-23-7503-2023
- Determination of Greenhouse Gas Concentrations from the 16U CubeSat Spacecraft Using Fourier Transform Infrared Spectroscopy V. Mayorova et al. 10.3390/s23156794
- Single-blind test of nine methane-sensing satellite systems from three continents E. Sherwin et al. 10.5194/amt-17-765-2024
28 citations as recorded by crossref.
- Methane Retrieval Algorithms Based on Satellite: A Review Y. Jiang et al. 10.3390/atmos15040449
- Monitoring Methane Emissions from Oil and Gas Operations W. Collins et al. 10.1103/PRXEnergy.1.017001
- Methane point source quantification using MethaneAIR: a new airborne imaging spectrometer A. Chulakadabba et al. 10.5194/amt-16-5771-2023
- Understanding the potential of Sentinel-2 for monitoring methane point emissions J. Gorroño et al. 10.5194/amt-16-89-2023
- Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations Z. Chen et al. 10.5194/acp-22-10809-2022
- 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
- Onshore methane emissions measurements from the oil and gas industry: a scoping review C. Vollrath et al. 10.1088/2515-7620/ad3129
- Satellite quantification of methane emissions and oil–gas methane intensities from individual countries in the Middle East and North Africa: implications for climate action Z. Chen et al. 10.5194/acp-23-5945-2023
- Detecting and quantifying methane emissions from oil and gas production: algorithm development with ground-truth calibration based on Sentinel-2 satellite imagery Z. Zhang et al. 10.5194/amt-15-7155-2022
- Automated detection and monitoring of methane super-emitters using satellite data B. Schuit et al. 10.5194/acp-23-9071-2023
- Global observational coverage of onshore oil and gas methane sources with TROPOMI M. Gao et al. 10.1038/s41598-023-41914-8
- Calibration of Maxar Constellation Over Libya-4 Site Using MAIAC Technique M. Choi et al. 10.1109/JSTARS.2024.3367250
- Daily detection and quantification of methane leaks using Sentinel-3: a tiered satellite observation approach with Sentinel-2 and Sentinel-5p S. Pandey et al. 10.1016/j.rse.2023.113716
- The Nord Stream pipeline gas leaks released approximately 220,000 tonnes of methane into the atmosphere M. Jia et al. 10.1016/j.ese.2022.100210
- 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
- Satellites Detect a Methane Ultra-emission Event from an Offshore Platform in the Gulf of Mexico I. Irakulis-Loitxate et al. 10.1021/acs.estlett.2c00225
- Attribution of individual methane and carbon dioxide emission sources using EMIT observations from space A. Thorpe et al. 10.1126/sciadv.adh2391
- Toward a versatile spaceborne architecture for immediate monitoring of the global methane pledge Y. Wang et al. 10.5194/acp-23-5233-2023
- Monitoring methane emissions from oil and gas operations‡ W. Collins et al. 10.1364/OE.464421
- Improving quantification of methane point source emissions from imaging spectroscopy Z. Pei et al. 10.1016/j.rse.2023.113652
- Assessing the Relative Importance of Satellite-Detected Methane Superemitters in Quantifying Total Emissions for Oil and Gas Production Areas in Algeria S. Naus et al. 10.1021/acs.est.3c04746
- Semantic segmentation of methane plumes with hyperspectral machine learning models V. Růžička et al. 10.1038/s41598-023-44918-6
- Individual coal mine methane emissions constrained by eddy covariance measurements: low bias and missing sources K. Qin et al. 10.5194/acp-24-3009-2024
- Exploiting the Matched Filter to Improve the Detection of Methane Plumes with Sentinel-2 Data H. Wang et al. 10.3390/rs16061023
- The role of satellite remote sensing in mitigating and adapting to global climate change S. Zhao et al. 10.1016/j.scitotenv.2023.166820
- S2MetNet: A novel dataset and deep learning benchmark for methane point source quantification using Sentinel-2 satellite imagery A. Radman et al. 10.1016/j.rse.2023.113708
- Continuous weekly monitoring of methane emissions from the Permian Basin by inversion of TROPOMI satellite observations D. Varon et al. 10.5194/acp-23-7503-2023
- Determination of Greenhouse Gas Concentrations from the 16U CubeSat Spacecraft Using Fourier Transform Infrared Spectroscopy V. Mayorova et al. 10.3390/s23156794
1 citations as recorded by crossref.
Latest update: 18 Apr 2024
Short summary
This study seeks to present the as-yet-unknown potential use of WorldView-3 for the mapping of methane point source emissions. The proposed retrieval methodology is based on the idea that the spectral channels not affected by methane can be used to predict the methane-affected band through regression analysis. The results show the precise location of 26 independent point emissions over different methane hotspot regions worldwide, which prove the game-changing potential that this mission entails.
This study seeks to present the as-yet-unknown potential use of WorldView-3 for the mapping of...
