82 citations as recorded by crossref.

1. Quantifying Methane and Ozone Precursor Emissions from Oil and Gas Production Regions across the Contiguous US C. Francoeur et al. 10.1021/acs.est.0c07352
2. Evaluation of Sentinel-5P TROPOMI Methane Observations at Northern High Latitudes H. Lindqvist et al. 10.3390/rs16162979
3. Methane retrieval from MethaneAIR using the CO2 proxy approach: a demonstration for the upcoming MethaneSAT mission C. Chan Miller et al. 10.5194/amt-17-5429-2024
4. US oil and gas system emissions from nearly one million aerial site measurements E. Sherwin et al. 10.1038/s41586-024-07117-5
5. A new aerial approach for quantifying and attributing methane emissions: implementation and validation J. Dooley et al. 10.5194/amt-17-5091-2024
6. Global assessment of oil and gas methane ultra-emitters T. Lauvaux et al. 10.1126/science.abj4351
7. Direct measurement of methane emissions from the upstream oil and gas sector: Review of measurement results and technology advances (2018–2022) X. Yang et al. 10.1016/j.jclepro.2023.137693
8. Methane detection and quantification in the upstream oil and gas sector: the role of satellites in emissions detection, reconciling and reporting J. Cooper et al. 10.1039/D1EA00046B
9. Increased methane emissions from oil and gas following the Soviet Union’s collapse T. He et al. 10.1073/pnas.2314600121
10. A Novel Correction Methodology to Improve the Performance of a Low-Cost Hyperspectral Portable Snapshot Camera A. Genangeli et al. 10.3390/s23249685
11. Systematic detection of local CH4 anomalies by combining satellite measurements with high-resolution forecasts J. Barré et al. 10.5194/acp-21-5117-2021
12. A New Divergence Method to Quantify Methane Emissions Using Observations of Sentinel‐5P TROPOMI M. Liu et al. 10.1029/2021GL094151
13. Using satellites to uncover large methane emissions from landfills J. Maasakkers et al. 10.1126/sciadv.abn9683
14. Comparing satellite methane measurements to inventory estimates: A Canadian case study L. Dubey et al. 10.1016/j.aeaoa.2022.100198
15. Satellite-based estimates of nitrogen oxide and methane emissions from gas flaring and oil production activities in Sakha Republic, Russia I. Ialongo et al. 10.1016/j.aeaoa.2021.100114
16. 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
17. Developing a spatially explicit global oil and gas infrastructure database for characterizing methane emission sources at high resolution M. Omara et al. 10.5194/essd-15-3761-2023
18. Reply to comment on “How Green is Blue Hydrogen?” R. Howarth & M. Jacobson 10.1002/ese3.1154
19. Opinion: Coordinated development of emission inventories for climate forcers and air pollutants S. Smith et al. 10.5194/acp-22-13201-2022
20. A high-resolution satellite-based map of global methane emissions reveals missing wetland, fossil fuel, and monsoon sources X. Yu et al. 10.5194/acp-23-3325-2023
21. Carbon capture in blue hydrogen production is not where it is supposed to be - Evaluating the gap between practical experience and literature estimates M. Riemer & V. Duscha 10.1016/j.apenergy.2023.121622
22. Sources of Formaldehyde in U.S. Oil and Gas Production Regions B. Dix et al. 10.1021/acsearthspacechem.3c00203
23. Critical method needs in measuring greenhouse gas fluxes D. Bastviken et al. 10.1088/1748-9326/ac8fa9
24. High-frequency, continuous hydrogen observations at Mace Head, Ireland from 1994 to 2022: Baselines, pollution events and ‘missing’ sources R. Derwent et al. 10.1016/j.atmosenv.2023.120029
25. The Futility of Relative Methane Reduction Targets in the Absence of Measurement-Based Inventories B. Conrad et al. 10.1021/acs.est.3c07722
26. Greenhouse gases (CO2 and CH4) at an urban background site in Athens, Greece: Levels, sources and impact of atmospheric circulation K. Dimitriou et al. 10.1016/j.atmosenv.2021.118372
27. Discovery of Large Methane Emissions Using a Complementary Method Based on Multispectral and Hyperspectral Data X. Cai et al. 10.3390/atmos16050532
28. 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
29. Global Tracking and Quantification of Oil and Gas Methane Emissions from Recurrent Sentinel-2 Imagery T. Ehret et al. 10.1021/acs.est.1c08575
30. Methane point source quantification using MethaneAIR: a new airborne imaging spectrometer A. Chulakadabba et al. 10.5194/amt-16-5771-2023
31. Improving Methane Point Sources Detection Over Heterogeneous Land Surface for Satellite Hyperspectral Imagery E. Sun et al. 10.1109/JSTARS.2024.3482278
32. Reconciling Multiple Methane Detection and Quantification Systems at Oil and Gas Tank Battery Sites S. Stokes et al. 10.1021/acs.est.2c02854
33. Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities S. Zhang et al. 10.1016/j.scitotenv.2023.164701
34. Satellites Detect Abatable Super-Emissions in One of the World’s Largest Methane Hotspot Regions I. Irakulis-Loitxate et al. 10.1021/acs.est.1c04873
35. Meteorological Drivers of Permian Basin Methane Anomalies Derived from TROPOMI E. Crosman 10.3390/rs13050896
36. Assessing methane emissions from collapsing Venezuelan oil production using TROPOMI B. Nathan et al. 10.5194/acp-24-6845-2024
37. Quantifying Regional Methane Emissions in the New Mexico Permian Basin with a Comprehensive Aerial Survey Y. Chen et al. 10.1021/acs.est.1c06458
38. 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
39. A measurement-based upstream oil and gas methane inventory for Alberta, Canada reveals higher emissions and different sources than official estimates B. Conrad et al. 10.1038/s43247-023-01081-0
40. Mapping methane point emissions with the PRISMA spaceborne imaging spectrometer L. Guanter et al. 10.1016/j.rse.2021.112671
41. Towards a sector-specific CO∕CO2 emission ratio: satellite-based observations of CO release from steel production in Germany O. Schneising et al. 10.5194/acp-24-7609-2024
42. Cancellation of cloud shadow effects in the absorbing aerosol index retrieval algorithm of TROPOMI V. Trees et al. 10.5194/amt-18-73-2025
43. DARCLOS: a cloud shadow detection algorithm for TROPOMI V. Trees et al. 10.5194/amt-15-3121-2022
44. Extension of Methane Emission Rate Distribution for Permian Basin Oil and Gas Production Infrastructure by Aerial LiDAR W. Kunkel et al. 10.1021/acs.est.3c00229
45. Widespread Frequent Methane Emissions From the Oil and Gas Industry in the Permian Basin J. Veefkind et al. 10.1029/2022JD037479
46. Quantification of CH4 emissions from waste disposal sites near the city of Madrid using ground- and space-based observations of COCCON, TROPOMI and IASI Q. Tu et al. 10.5194/acp-22-295-2022
47. Abnormal tank emissions in the Permian Basin identified using ethane to methane ratios D. Caulton et al. 10.1525/elementa.2022.00121
48. 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
49. Automated detection and monitoring of methane super-emitters using satellite data B. Schuit et al. 10.5194/acp-23-9071-2023
50. The future extent of the Anthropocene epoch: A synthesis C. Summerhayes et al. 10.1016/j.gloplacha.2024.104568
51. Space-based Earth observation in support of the UNFCCC Paris Agreement M. Hegglin et al. 10.3389/fenvs.2022.941490
52. Environmental and economic evaluation of decarbonization strategies for the Indian steel industry S. Johnson et al. 10.1016/j.enconman.2023.117511
53. 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
54. Minimum detection limits of the TROPOMI satellite sensor across North America and their implications for measuring oil and gas methane emissions L. Dubey et al. 10.1016/j.scitotenv.2023.162222
55. Intermittency of Large Methane Emitters in the Permian Basin D. Cusworth et al. 10.1021/acs.estlett.1c00173
56. Strong methane point sources contribute a disproportionate fraction of total emissions across multiple basins in the United States D. Cusworth et al. 10.1073/pnas.2202338119
57. 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
58. Observation-derived 2010-2019 trends in methane emissions and intensities from US oil and gas fields tied to activity metrics X. Lu et al. 10.1073/pnas.2217900120
59. High-resolution US methane emissions inferred from an inversion of 2019 TROPOMI satellite data: contributions from individual states, urban areas, and landfills H. Nesser et al. 10.5194/acp-24-5069-2024
60. 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
61. Remotely visible impacts on air quality after a year-round full-scale Russian invasion of Ukraine M. Savenets et al. 10.1016/j.apr.2023.101912
62. Transition to zero-net emissions for Qatar: A policy based on Hydrogen and CO2 capture & storage development F. Babonneau et al. 10.1016/j.enpol.2022.113256
63. Assessing the design of integrated methane sensing networks L. Patel & J. Zenker 10.1088/1748-9326/ad893d
64. Variability of greenhouse gases in Lagos: CO2, CH4, N2O and halocarbons in a developing Western Africa megacity A. Odu-Onikosi et al. 10.1016/j.uclim.2025.102337
65. Quantifying CH4 emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method Q. Tu et al. 10.5194/acp-22-9747-2022
66. Methane retrieved from TROPOMI: improvement of the data product and validation of the first 2 years of measurements A. Lorente et al. 10.5194/amt-14-665-2021
67. Avoiding methane emission rate underestimates when using the divergence method C. Roberts et al. 10.1088/1748-9326/ad0252
68. Quantifying CH4 emissions from coal mine aggregation areas in Shanxi, China, using TROPOMI observations and the wind-assigned anomaly method Q. Tu et al. 10.5194/acp-24-4875-2024
69. Satellite quantification of oil and natural gas methane emissions in the US and Canada including contributions from individual basins L. Shen et al. 10.5194/acp-22-11203-2022
70. National quantifications of methane emissions from fuel exploitation using high resolution inversions of satellite observations L. Shen et al. 10.1038/s41467-023-40671-6
71. Satellite-based survey of extreme methane emissions in the Permian basin I. Irakulis-Loitxate et al. 10.1126/sciadv.abf4507
72. Satellite monitoring of annual US landfill methane emissions and trends N. Balasus et al. 10.1088/1748-9326/ada2b1
73. The Economics of Natural Gas Flaring: An Agenda for Research and Policy M. Agerton et al. 10.2139/ssrn.3655624
74. Derivation of Emissions From Satellite‐Observed Column Amounts and Its Application to TROPOMI NO2 and CO Observations K. Sun 10.1029/2022GL101102
75. The Economics of Natural Gas Flaring and Methane Emissions in US Shale: An Agenda for Research and Policy M. Agerton et al. 10.1086/725004
76. Unravelling a large methane emission discrepancy in Mexico using satellite observations L. Shen et al. 10.1016/j.rse.2021.112461
77. Development of a Multi-Source Satellite Fusion Method for XCH4 Product Generation in Oil and Gas Production Areas L. Fan et al. 10.3390/app142311100
78. Global observational coverage of onshore oil and gas methane sources with TROPOMI M. Gao et al. 10.1038/s41598-023-41914-8
79. Creating measurement-based oil and gas sector methane inventories using source-resolved aerial surveys M. Johnson et al. 10.1038/s43247-023-00769-7
80. Validation of methane and carbon monoxide from Sentinel-5 Precursor using TCCON and NDACC-IRWG stations M. Sha et al. 10.5194/amt-14-6249-2021
81. CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes A. Tsuruta et al. 10.3390/rs15061620
82. Retrieving CH4-emission rates from coal mine ventilation shafts using UAV-based AirCore observations and the genetic algorithm–interior point penalty function (GA-IPPF) model T. Shi et al. 10.5194/acp-22-13881-2022