45 citations as recorded by crossref.

1. Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane D. Jacob et al. https://doi.org/10.5194/acp-22-9617-2022
2. Taking Artificial Intelligence Into Space Through Objective Selection of Hyperspectral Earth Observation Applications: To bring the “brain” close to the “eyes” of satellite missions A. Wijata et al. https://doi.org/10.1109/MGRS.2023.3269979
3. Multisatellite Imaging of a Gas Well Blowout Enables Quantification of Total Methane Emissions D. Cusworth et al. https://doi.org/10.1029/2020GL090864
4. Mapping methane point emissions with the PRISMA spaceborne imaging spectrometer L. Guanter et al. https://doi.org/10.1016/j.rse.2021.112671
5. Detecting Methane Emissions from Space Over India: Analysis Using EMIT and Sentinel-5P TROPOMI Datasets A. Siddiqui et al. https://doi.org/10.1007/s12524-024-01925-y
6. Carbon emission reduction requires attention to the contribution of natural gas use: Combustion and leakage H. Chen et al. https://doi.org/10.5194/acp-26-1359-2026
7. Joint Use of in-Scene Background Radiance Estimation and Optimal Estimation Methods for Quantifying Methane Emissions Using PRISMA Hyperspectral Satellite Data: Application to the Korpezhe Industrial Site N. Nesme et al. https://doi.org/10.3390/rs13244992
8. 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. https://doi.org/10.1016/j.jclepro.2023.137693
9. Methane Mapping with Future Satellite Imaging Spectrometers A. Ayasse et al. https://doi.org/10.3390/rs11243054
10. Observation-derived 2010-2019 trends in methane emissions and intensities from US oil and gas fields tied to activity metrics X. Lu et al. https://doi.org/10.1073/pnas.2217900120
11. Recent advances in TROPOMI-based methane source detection: a systematic review R. Liu et al. https://doi.org/10.1080/15481603.2026.2650822
12. Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions Z. Deng et al. https://doi.org/10.5194/essd-14-1639-2022
13. High-Resolution Methane Mapping With the EnMAP Satellite Imaging Spectroscopy Mission J. Roger et al. https://doi.org/10.1109/TGRS.2024.3352403
14. Developing Measurement-Informed Methane Emissions Inventory Estimates at Midstream Compressor Stations A. Ravikumar et al. https://doi.org/10.1021/acsestair.4c00237
15. Intermittency of Large Methane Emitters in the Permian Basin D. Cusworth et al. https://doi.org/10.1021/acs.estlett.1c00173
16. Investigating large methane enhancements in the U.S. San Juan Basin G. Pétron et al. https://doi.org/10.1525/elementa.038
17. Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities S. Zhang et al. https://doi.org/10.1016/j.scitotenv.2023.164701
18. Castles in the Sky: Revisiting the global methane pledge J. Guo et al. https://doi.org/10.1016/j.enpol.2025.114785
19. Reconstructing and quantifying methane emissions from the full duration of a 38-day natural gas well blowout using space-based observations J. Maasakkers et al. https://doi.org/10.1016/j.rse.2021.112755
20. Methane Emissions from Superemitting Coal Mines in Australia Quantified Using TROPOMI Satellite Observations P. Sadavarte et al. https://doi.org/10.1021/acs.est.1c03976
21. Using TROPOspheric Monitoring Instrument (TROPOMI) measurements and Weather Research and Forecasting (WRF) CO modelling to understand the contribution of meteorology and emissions to an extreme air pollution event in India A. Vellalassery et al. https://doi.org/10.5194/acp-21-5393-2021
22. An Intercomparison of Underground Coal Mine Methane Emission Estimation in Shanxi, China: S5P/TROPOMI vs. GF-5B/AHSI Z. Yang et al. https://doi.org/10.3390/rs18040603
23. Atmospheric inverse estimates of CO emissions from Zhengzhou, China H. Fan et al. https://doi.org/10.1016/j.envpol.2020.115164
24. 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. https://doi.org/10.5194/acp-23-5945-2023
25. Open-path cavity ring-down methane sensor for mobile monitoring of natural gas emissions L. Mchale et al. https://doi.org/10.1364/OE.27.020084
26. The Spatial and Temporal Distribution Patterns of XCH4 in China: New Observations from TROPOMI J. Zhang et al. https://doi.org/10.3390/atmos13020177
27. Continuous mapping of fine particulate matter (PM2.5) air quality in East Asia at daily 6  ×  6 km2 resolution by application of a random forest algorithm to 2011–2019 GOCI geostationary satellite data D. Pendergrass et al. https://doi.org/10.5194/amt-15-1075-2022
28. Space-based monitoring of atmospheric methane concentrations over onshore upstream oil and gas facilities in India: A TROPOMI approach S. Garain & Y. Tewari https://doi.org/10.1016/j.egycc.2026.100276
29. Suitability of a Non-Dispersive Infrared Methane Sensor Package for Flux Quantification Using an Unmanned Aerial Vehicle A. Shah et al. https://doi.org/10.3390/s19214705
30. Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. https://doi.org/10.1029/2019RG000675
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33. Global methane budget and trend, 2010–2017: complementarity of inverse analyses using in situ (GLOBALVIEWplus CH4 ObsPack) and satellite (GOSAT) observations X. Lu et al. https://doi.org/10.5194/acp-21-4637-2021
34. Reduction of methane emissions through improved landfill management H. Tong et al. https://doi.org/10.1038/s41558-025-02391-1
35. The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps G. Hurtt et al. https://doi.org/10.1088/1748-9326/ac7407
36. Improved methane flux estimation from hyper-spectral imagery via log-domain matched filtering and background homogenization F. Masin et al. https://doi.org/10.1016/j.aeaoa.2026.100417
37. Leveraging TROPOMI observations and WRF-GHG modeling towards improving methane emission assessments in India T. Mathew et al. https://doi.org/10.5194/acp-26-4453-2026
38. Potential of next-generation imaging spectrometers to detect and quantify methane point sources from space D. Cusworth et al. https://doi.org/10.5194/amt-12-5655-2019
39. Satellites Detect Abatable Super-Emissions in One of the World’s Largest Methane Hotspot Regions I. Irakulis-Loitxate et al. https://doi.org/10.1021/acs.est.1c04873
40. Satellite observations indicate a declining trend of methane emissions from heavy oil production in Canada Z. Xing et al. https://doi.org/10.1021/acs.estlett.5c00426
41. Quantifying methane emissions from the largest oil-producing basin in the United States from space Y. Zhang et al. https://doi.org/10.1126/sciadv.aaz5120
42. Satellite-based survey of extreme methane emissions in the Permian basin I. Irakulis-Loitxate et al. https://doi.org/10.1126/sciadv.abf4507
43. Synthesis of Methane Observations Across Scales: Strategies for Deploying a Multitiered Observing Network D. Cusworth et al. https://doi.org/10.1029/2020GL087869
44. Methane emissions in the United States, Canada, and Mexico: evaluation of national methane emission inventories and 2010–2017 sectoral trends by inverse analysis of in situ (GLOBALVIEWplus CH4 ObsPack) and satellite (GOSAT) atmospheric observations X. Lu et al. https://doi.org/10.5194/acp-22-395-2022
45. Huge CH4, NO2 and CO Emissions from Coal Mines in the Kuznetsk Basin (Russia) Detected by Sentinel-5P P. Trenchev et al. https://doi.org/10.3390/rs15061590