67 citations as recorded by crossref.

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11. Methane Growth Rate Estimation and Its Causes in Western Canada Using Satellite Observations S. Islam et al. 10.1029/2020JD033948
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20. A satellite-data-driven framework to rapidly quantify air-basin-scale NOx emissions and its application to the Po Valley during the COVID-19 pandemic K. Sun et al. 10.5194/acp-21-13311-2021
21. Before and After: A Multiscale Remote Sensing Assessment of the Sinop Dam, Mato Grosso, Brazil O. Lucanus et al. 10.3390/earth2020018
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23. Using satellite data to identify the methane emission controls of South Sudan's wetlands S. Pandey et al. 10.5194/bg-18-557-2021
24. A Multiplatform Inversion Estimation of Statewide and Regional Methane Emissions in California during 2014–2016 Y. Cui et al. 10.1021/acs.est.9b01769
25. Quantifying methane emissions from the largest oil-producing basin in the United States from space Y. Zhang et al. 10.1126/sciadv.aaz5120
26. Remote sensing of methane leakage from natural gas and petroleum systems revisited O. Schneising et al. 10.5194/acp-20-9169-2020
27. Zonal variability of methane trends derived from satellite data J. Hachmeister et al. 10.5194/acp-24-577-2024
28. Emissions of methane in Europe inferred by total column measurements D. Wunch et al. 10.5194/acp-19-3963-2019
29. Methane emissions from a waste treatment site: Numerical analysis of aircraft-based data Y. Cai et al. 10.1016/j.agrformet.2020.108102
30. Evaluation of light atmospheric plume inversion methods using synthetic XCO2 satellite images to compute Paris CO2 emissions A. Danjou et al. 10.1016/j.rse.2023.113900
31. Towards monitoring localized CO2 emissions from space: co-located regional CO2 and NO2 enhancements observed by the OCO-2 and S5P satellites M. Reuter et al. 10.5194/acp-19-9371-2019
32. Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data S. Vanselow et al. 10.5194/acp-24-10441-2024
33. U-Plume: automated algorithm for plume detection and source quantification by satellite point-source imagers J. Bruno et al. 10.5194/amt-17-2625-2024
34. A study of synthetic 13CH4 retrievals from TROPOMI and Sentinel-5/UVNS E. Malina et al. 10.5194/amt-12-6273-2019
35. Fingerprint of rice paddies in spatial–temporal dynamics of atmospheric methane concentration in monsoon Asia G. Zhang et al. 10.1038/s41467-019-14155-5
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37. Important evidence of constant low CO2 windows and impacts on the non-closure of the greenhouse effect J. Zhao et al. 10.1038/s41598-019-41562-x
38. A review on the methane emission detection during offshore natural gas hydrate production S. Liu et al. 10.3389/fenrg.2023.1130810
39. Relevant methane emission to the atmosphere from a geological gas manifestation A. Mazzini et al. 10.1038/s41598-021-83369-9
40. Methane Emissions from Superemitting Coal Mines in Australia Quantified Using TROPOMI Satellite Observations P. Sadavarte et al. 10.1021/acs.est.1c03976
41. Space-based Earth observation in support of the UNFCCC Paris Agreement M. Hegglin et al. 10.3389/fenvs.2022.941490
42. A decade of GOSAT Proxy satellite CH4 observations R. Parker et al. 10.5194/essd-12-3383-2020
43. Relating Multi-Scale Plume Detection and Area Estimates of Methane Emissions: A Theoretical and Empirical Analysis S. Pandey et al. 10.1021/acs.est.4c07415
44. Satellite-Derived Estimate of City-Level Methane Emissions from Calgary, Alberta, Canada Z. Xing et al. 10.3390/rs16071149
45. A simple and quick sensitivity analysis method for methane isotopologues detection with GOSAT-TANSO-FTS E. Malina et al. 10.14324/111.444/ucloe.000013
46. Integrating Satellite Observations and Hydrological Models to Unravel Large TROPOMI Methane Emissions in South Sudan Wetlands Y. Albuhaisi et al. 10.3390/rs16244744
47. Single-photon laser methane detection methodology and initial validation S. Zhu et al. 10.3788/COL202422.100101
48. Water vapour and methane coupling in the stratosphere observed using SCIAMACHY solar occultation measurements S. Noël et al. 10.5194/acp-18-4463-2018
49. 2010–2016 methane trends over Canada, the United States, and Mexico observed by the GOSAT satellite: contributions from different source sectors J. Sheng et al. 10.5194/acp-18-12257-2018
50. A scientific algorithm to simultaneously retrieve carbon monoxide and methane from TROPOMI onboard Sentinel-5 Precursor O. Schneising et al. 10.5194/amt-12-6771-2019
51. Ensemble-based satellite-derived carbon dioxide and methane column-averaged dry-air mole fraction data sets (2003–2018) for carbon and climate applications M. Reuter et al. 10.5194/amt-13-789-2020
52. Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations Y. Zhang et al. 10.5194/acp-21-3643-2021
53. Investigating high methane emissions from urban areas detected by TROPOMI and their association with untreated wastewater B. de Foy et al. 10.1088/1748-9326/acc118
54. Estimating ground-level CH4 concentrations inferred from Sentinel-5P J. Qin et al. 10.1080/01431161.2023.2240028
55. Global observational coverage of onshore oil and gas methane sources with TROPOMI M. Gao et al. 10.1038/s41598-023-41914-8
56. Using Space‐Based CO2 and NO2 Observations to Estimate Urban CO2 Emissions E. Yang et al. 10.1029/2022JD037736
57. The ESA Climate Change Initiative (CCI): A European contribution to the generation of the Global Climate Observing System S. Plummer et al. 10.1016/j.rse.2017.07.014
58. Onshore methane emissions measurements from the oil and gas industry: a scoping review C. Vollrath et al. 10.1088/2515-7620/ad3129
59. The Significance of Fast Radiative Transfer for Hyperspectral SWIR XCO2 Retrievals P. Somkuti et al. 10.3390/atmos11111219
60. Assessment of Anthropogenic Methane Emissions over Large Regions Based on GOSAT Observations and High Resolution Transport Modeling R. Janardanan et al. 10.3390/rs9090941
61. Quantifying methane point sources from fine-scale satellite observations of atmospheric methane plumes D. Varon et al. 10.5194/amt-11-5673-2018
62. Avoiding methane emission rate underestimates when using the divergence method C. Roberts et al. 10.1088/1748-9326/ad0252
63. The potential of vegetation indices: estimating methane emissions in paddy fields under nighttime warming and water saving conditions Z. Zhen et al. 10.1002/ghg.1973
64. Influence of methane emissions on the GHG emissions of fossil fuels B. Pieprzyk & P. Hilje 10.1002/bbb.1959
65. Comparison of XCH4 Derived from g-b FTS and GOSAT and Evaluation Using Aircraft In-Situ Observations over TCCON Site S. Kenea et al. 10.1007/s13143-019-00105-0
66. Satellite observations of atmospheric methane and their value for quantifying methane emissions D. Jacob et al. 10.5194/acp-16-14371-2016
67. Airborne Quantification of Methane Emissions over the Four Corners Region M. Smith et al. 10.1021/acs.est.6b06107