143 citations as recorded by crossref.

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18. A local- to national-scale inverse modeling system to assess the potential of spaceborne CO<sub>2</sub> measurements for the monitoring of anthropogenic emissions D. Santaren et al. 10.5194/amt-14-403-2021
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25. Global Tracking and Quantification of Oil and Gas Methane Emissions from Recurrent Sentinel-2 Imagery T. Ehret et al. 10.1021/acs.est.1c08575
26. Satellite monitoring of fugitive methane emissions from oil and gas facilities in Australia J. Gauthier 10.1071/AJ19071
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29. Using satellite data to identify the methane emission controls of South Sudan's wetlands S. Pandey et al. 10.5194/bg-18-557-2021
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31. Single-blind test of nine methane-sensing satellite systems from three continents E. Sherwin et al. 10.5194/amt-17-765-2024
32. The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps G. Hurtt et al. 10.1088/1748-9326/ac7407
33. Automated detection and monitoring of methane super-emitters using satellite data B. Schuit et al. 10.5194/acp-23-9071-2023
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35. Determination of the emission rates of CO<sub>2</sub> point sources with airborne lidar S. Wolff et al. 10.5194/amt-14-2717-2021
36. How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle? D. Crisp et al. 10.1029/2021RG000736
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41. Analyzing Local Carbon Dioxide and Nitrogen Oxide Emissions From Space Using the Divergence Method: An Application to the Synthetic SMARTCARB Dataset J. Hakkarainen et al. 10.3389/frsen.2022.878731
42. Quantifying factory-scale CO2/CH4 emission based on mobile measurements and EMISSION-PARTITION model: cases in China T. Shi et al. 10.1088/1748-9326/acbce7
43. Urban methane emission monitoring across North America using TROPOMI data: an analytical inversion approach M. Hemati et al. 10.1038/s41598-024-58995-8
44. 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
45. Methane Emissions from Superemitting Coal Mines in Australia Quantified Using TROPOMI Satellite Observations P. Sadavarte et al. 10.1021/acs.est.1c03976
46. Quantification of methane emissions from hotspots and during COVID-19 using a global atmospheric inversion J. McNorton et al. 10.5194/acp-22-5961-2022
47. A methodology to constrain carbon dioxide emissions from coal-fired power plants using satellite observations of co-emitted nitrogen dioxide F. Liu et al. 10.5194/acp-20-99-2020
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50. A methane monitoring station siting method based on WRF-STILT and genetic algorithm L. Fan et al. 10.3389/fenvs.2024.1394281
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55. MethaNet – An AI-driven approach to quantifying methane point-source emission from high-resolution 2-D plume imagery S. Jongaramrungruang et al. 10.1016/j.rse.2021.112809
56. Plume detection and emission estimate for biomass burning plumes from TROPOMI carbon monoxide observations using APE v1.1 M. Goudar et al. 10.5194/gmd-16-4835-2023
57. The GHGSat-D imaging spectrometer D. Jervis et al. 10.5194/amt-14-2127-2021
58. 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
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61. In situ observations of greenhouse gases over Europe during the CoMet 1.0 campaign aboard the HALO aircraft M. Gałkowski et al. 10.5194/amt-14-1525-2021
62. Examining partial-column density retrieval of lower-tropospheric CO2 from GOSAT target observations over global megacities A. Kuze et al. 10.1016/j.rse.2022.112966
63. Quantification of CO2 Emissions from Three Power Plants in China Using OCO-3 Satellite Measurements Y. Yang et al. 10.1007/s00376-024-3293-9
64. Evaluation of simulated CO2 power plant plumes from six high-resolution atmospheric transport models D. Brunner et al. 10.5194/acp-23-2699-2023
65. PRISMethaNet: A novel deep learning model for landfill methane detection using PRISMA satellite data M. Marjani et al. 10.1016/j.isprsjprs.2024.10.003
66. The ddeq Python library for point source quantification from remote sensing images (version 1.0) G. Kuhlmann et al. 10.5194/gmd-17-4773-2024
67. A review of close-range and screening technologies for mitigating fugitive methane emissions in upstream oil and gas T. Fox et al. 10.1088/1748-9326/ab0cc3
68. Satellite observations reveal extreme methane leakage from a natural gas well blowout S. Pandey et al. 10.1073/pnas.1908712116
69. 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
70. Analyzing nitrogen oxides to carbon dioxide emission ratios from space: A case study of Matimba Power Station in South Africa J. Hakkarainen et al. 10.1016/j.aeaoa.2021.100110
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77. Multi-task deep learning for quantifying methane emissions from 2-D plume imagery with Low Signal-to-Noise Ratio Q. Xu et al. 10.1080/01431161.2024.2421946
78. Quantifying CO2 emissions from a thermal power plant based on CO2 column measurements by portable Fourier transform spectrometers H. Ohyama et al. 10.1016/j.rse.2021.112714
79. Using a satellite-aircraft hybrid system based on the same sensor to monitor oil and gas facilities for methane emissions H. Deglint et al. 10.1071/AJ20182
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81. Policy approaches to mitigate in-use methane emissions from natural gas use as a marine fuel I. Laskar & A. Giang 10.1088/2634-4505/accf33
82. Using satellites to uncover large methane emissions from landfills J. Maasakkers et al. 10.1126/sciadv.abn9683
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85. Quantifying particulate matter optical properties and flow rate in industrial stack plumes from the PRISMA hyperspectral imager G. Calassou et al. 10.5194/amt-17-57-2024
86. A survey of methane point source emissions from coal mines in Shanxi province of China using AHSI on board Gaofen-5B Z. He et al. 10.5194/amt-17-2937-2024
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90. Quantification of carbon monoxide emissions from African cities using TROPOMI G. Leguijt et al. 10.5194/acp-23-8899-2023
91. Mapping methane plumes at very high spatial resolution with the WorldView-3 satellite E. Sánchez-García et al. 10.5194/amt-15-1657-2022
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