98 citations as recorded by crossref.

1. High-resolution regional inversion reveals overestimation of anthropogenic methane emissions in China S. Feng et al.
2. Tracking regional CH4 emissions through collocated air pollution measurement: a pilot application and robustness analysis in China Y. Li & B. Zheng
3. Measurement, Reporting, and Verification of Agricultural and Livestock Emissions: A Combined Systematic and Bibliometric Review N. Tsigkas et al.
4. Towards verifying and improving estimations of China's CO2 and CH4 budgets using atmospheric inversions Y. Wang et al.
5. Satellite-Based Emission Inversion for Air Pollutants and Greenhouse Gases: A Review Z. Jiang et al.
6. High-resolution satellite estimates of coal mine methane emissions from local to regional scales in Shanxi, China S. Bai et al.
7. Satellite-Based Monitoring of Methane Emissions from China’s Rice Hub R. Liang et al.
8. Attributing 2019–2024 methane growth using TROPOMI satellite observations M. He et al.
9. Carbon emission reduction requires attention to the contribution of natural gas use: Combustion and leakage H. Chen et al.
10. Simulation Analysis of Unmanned Aerial Vehicle-Based Laser Remote Sensing for Methane Point Source Traceability and Leakage Quantification S. Zhu et al.
11. Recent advances in TROPOMI-based methane source detection: a systematic review R. Liu et al.
12. Accounting for surface reflectance spectral features in TROPOMI methane retrievals A. Lorente et al.
13. A WRF-Chem study of the greenhouse gas column and in situ surface concentrations observed in Xianghe, China – Part 1: Methane (CH4) S. Callewaert et al.
14. Developing unbiased estimation of atmospheric methane via machine learning and multiobjective programming based on TROPOMI and GOSAT data K. Li et al.
15. Implementation of a satellite-based tool for the quantification of CH4 emissions over Europe (AUMIA v1.0) – Part 1: forward modelling evaluation against near-surface and satellite data A. Vara-Vela et al.
16. 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.
17. Quantifying CH4 emissions from coal mine aggregation areas in Shanxi, China, using TROPOMI observations and the wind-assigned anomaly method Q. Tu et al.
18. Top-down inversion of urban-scale sectoral methane (CH4) emissions and their response to environmental drivers W. Zhao et al.
19. Methane Retrieval Algorithms Based on Satellite: A Review Y. Jiang et al.
20. Long-term changes in city-level CH4 emissions from rice cultivation in China: Patterns, drivers, projections, and sustainable pathways S. Liang et al.
21. Practical Guide to Measuring Wetland Carbon Pools and Fluxes S. Bansal et al.
22. Theoretical Potential of TanSat-2 to Quantify China’s CH4 Emissions S. Zhu et al.
23. Greenhouse gas column observations from a portable spectrometer in Uganda N. Humpage et al.
24. Evaluation of methane emission from MSW landfills in China, India, and the U.S. from space using a two-tier approach S. Zhang et al.
25. Discovery of Large Methane Emissions Using a Complementary Method Based on Multispectral and Hyperspectral Data X. Cai et al.
26. Satellite-Derived Estimates on Methane Emissions From Rice Paddies Across China X. Zhang et al.
27. Identification of natural gas leak sources using ethane/methane ratios and methane isotopic signatures Y. Zhang et al.
28. China's methane emissions derived from the inversion of GOSAT observations with a CMAQ and EnKS-based regional data assimilation system X. Kou et al.
29. Dynamic Methane Emissions from China’s Fossil-Fuel and Food Systems: Socioeconomic Drivers and Policy Optimization Strategies X. Wang et al.
30. Global CH4 fluxes derived from JAXA/GOSAT lower-tropospheric partial column data and the CarbonTracker Europe-CH4 atmospheric inverse model A. Tsuruta et al.
31. Methane emission and influencing factors of China's oil and natural gas sector in 2020–2060: A source level analysis S. Sun et al.
32. Mitigating climate change by abating coal mine methane: A critical review of status and opportunities C. Karacan et al.
33. The methane imperative D. Shindell et al.
34. Satellite quantification of methane emissions from South American countries: a high-resolution inversion of TROPOMI and GOSAT observations S. Hancock et al.
35. Regenerative rice farming for sustaining productivity, reducing energy demand, and methane emissions in India: A comprehensive review G. Sawargaonkar et al.
36. Revisiting the quantification of power plant CO2 emissions in the United States and China from satellite: A comparative study using three top-down approaches C. He et al.
37. The economics of elusive methane diplomacy: forecasting 2030 emissions in China, India, and Russia S. Gurbanov et al.
38. Bridging the Gap: A comprehensive review and cross-check analysis for China's Non-CO2 greenhouse gas emission estimates L. Hu & X. Fang
39. Observation-derived 2010-2019 trends in methane emissions and intensities from US oil and gas fields tied to activity metrics X. Lu et al.
40. East Asian methane emissions inferred from high-resolution inversions of GOSAT and TROPOMI observations: a comparative and evaluative analysis R. Liang et al.
41. 煤炭行业甲烷排放卫星遥感研究进展与展望 秦. Qin Kai et al.
42. North–south inhomogeneous variations of methane emissions observed by TROPOMI over China S. Yu et al.
43. Integrated Methane Inversion (IMI) 2.0: an improved research and stakeholder tool for monitoring total methane emissions with high resolution worldwide using TROPOMI satellite observations L. Estrada et al.
44. Differentiated strategies for synergistic mitigation of ammonia and methane emissions from agricultural cropping systems in China B. Li et al.
45. Spatiotemporal variations in atmospheric CH4 concentrations and enhancements in northern China based on a comprehensive dataset: ground-based observations, TROPOMI data, inventory data, and inversions P. Han et al.
46. Estimation of seasonal methane fluxes over a Mediterranean rice paddy area using the Radon Tracer Method (RTM) R. Curcoll et al.
47. Automated detection and monitoring of methane super-emitters using satellite data B. Schuit et al.
48. Reconciling a national methane emission inventory with in-situ measurements Y. Liu et al.
49. 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.
50. Satellite derived trends and variability of CO2 concentrations in the Middle East during 2014–2023 R. Fonseca & D. Francis
51. Structural shifts in China’s oil and gas CH4 emissions with implications for mitigation efforts J. Luo et al.
52. An Observing System Simulation Experiment Analysis of How Well Geostationary Satellite Trace‐Gas Observations Constrain NOx Emissions in the US C. Hsu et al.
53. An Intercomparison of Underground Coal Mine Methane Emission Estimation in Shanxi, China: S5P/TROPOMI vs. GF-5B/AHSI Z. Yang et al.
54. Global Methane Budget 2000–2020 M. Saunois et al.
55. Global observational coverage of onshore oil and gas methane sources with TROPOMI M. Gao et al.
56. High-Resolution Inversion of GOSAT-2 Retrievals for Sectoral Methane Emission Estimates During 2019–2022: A Consistency Analysis with GOSAT Inversion R. Janardanan et al.
57. Reconciling Bottom–Up and Top–Down Approaches to Quantify Sub-Regional Methane Emissions with Improved Inventory and Three-Year High-Resolution Satellite Measurements C. He et al.
58. Single-photon laser methane detection methodology and initial validation S. Zhu et al.
59. Emerging Trends, Sectoral, and Regional Patterns in China’s Methane Emissions: A Satellite-Constrained Perspective D. Chen et al.
60. Estimation of Anthropogenic CH4 and CO2 Emissions in Taiyuan‐Jinzhong Region: One of the World's Largest Emission Hotspots C. Hu et al.
61. Equity and efficiency of livestock methane emission: An analysis based on China city-level data M. Li & H. Xiao
62. High-resolution inversion of urban methane emissions in the Chengdu–Chongqing economic circle using ground-based observations and a dynamic error Bayesian framework Z. Xia et al.
63. Atmospheric methane dynamics and its associations with environmental factors in the mid-Indo-Gangetic region (Bihar), India A. Dass et al.
64. Anthropogenic CO2 emission estimates in the Tokyo metropolitan area from ground-based CO2 column observations H. Ohyama et al.
65. Large methane mitigation potential through prioritized closure of gas-rich coal mines Q. Liu et al.
66. City-level livestock methane emissions in China from 2010 to 2020 M. Du et al.
67. Worldwide inference of national methane emissions by inversion of satellite observations with UNFCCC prior estimates J. East et al.
68. Evaluation of satellite-derived methane emissions from coal mines using the Gaussian plume model in a topographically complex area Y. Gao et al.
69. Spatiotemporal variations of atmospheric XCH4 in China based on multiple spatially continuous satellite-derived products Y. Liu et al.
70. A Bayesian inversion of TROPOMI methane observations over South Africa: Implications for bottom-up inventories K. Maliehe et al.
71. Natural Gas Leakage Ratio Determined from Flux Measurements of Methane in Urban Beijing Y. Huangfu et al.
72. FI-SCAPE: A Divergence Theorem Based Emission Quantification Model for Air/Spaceborne Imaging Spectrometer Derived XCH4 Observations Y. Huang et al.
73. New measurements indicate that natural geologic methane emissions from microseepage in the Michigan Basin are likely negligible K. Hall et al.
74. A Gridded Inventory of Annual 2012–2018 U.S. Anthropogenic Methane Emissions J. Maasakkers et al.
75. China’s energy sector facility-level inventory reveals methane emissions peaked in 2014 and emerging sources from abandoned facilities Q. Liu & F. Teng
76. Fossil-Fuel and Food Systems Equally Dominate Anthropogenic Methane Emissions in China S. Liu et al.
77. Dynamic and high methane emission flux in pond and lake aquaculture J. Zhao et al.
78. 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.
79. Leveraging TROPOMI observations and WRF-GHG modeling towards improving methane emission assessments in India T. Mathew et al.
80. Monitoring oil and gas field CH4 leaks by Sentinel-5P and Sentinel-2 B. He et al.
81. Quantifying Methane Emissions Using Satellite Data: Application of the Integrated Methane Inversion (IMI) Model to Assess Danish Emissions A. Vara-Vela et al.
82. City-scale methane emissions from the midstream oil and gas industry: A satellite survey of the Zhoushan archipelago X. Yang et al.
83. High-Spatial-Resolution Methane Emissions Calculation Using TROPOMI Data by a Divergence Method S. Li et al.
84. Enhancing Uncrewed Aerial Vehicle Techniques for Monitoring Greenhouse Gas Plumes at Point Sources H. Kim et al.
85. Local-scale inversion of agricultural ammonia emissions: a case study on Schiermonnikoog, the Netherlands S. Li et al.
86. Bottom‐Up Evaluation of the Methane Budget in Asia and Its Subregions A. Ito et al.
87. National quantifications of methane emissions from fuel exploitation using high resolution inversions of satellite observations L. Shen et al.
88. Inverse modeling of 2010–2022 satellite observations shows that inundation of the wet tropics drove the 2020–2022 methane surge Z. Qu et al.
89. Structural changes and impacts of methane emissions in China S. Yu et al.
90. Merging TROPOMI and eddy covariance observations to quantify 5-years of daily CH4 emissions over coal-mine dominated region W. Hu et al.
91. Comparative Review of Global Methane Budget Estimation: Top-Down, Bottom-Up, and Integrated Approaches B. Alem et al.
92. Global warming will largely increase waste treatment CH4 emissions in Chinese megacities: insight from the first city-scale CH4 concentration observation network in Hangzhou, China C. Hu et al.
93. Regional production shift and increased utilization dampen the growth of China’s coal mine methane emissions J. Zhang et al.
94. Controls on concentrations and clumped isotopologues of vehicle exhaust methane J. Sun et al.
95. Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data S. Vanselow et al.
96. A comprehensive inventory of China's methane emissions: Insights and changes from 2010 to 2020 Y. Shi et al.
97. Integrated mobile monitoring and atmospheric modeling for methane emission assessment in an industrial-agricultural hub: A case study of Binzhou, China Y. Luo et al.
98. CHN-CH4: a gridded (0.1° × 0.1°) anthropogenic methane emission inventory of China from 1990 to 2020 F. Guo et al.