55 citations as recorded by crossref.

1. Observing carbon dioxide emissions over China's cities and industrial areas with the Orbiting Carbon Observatory-2 B. Zheng et al. 10.5194/acp-20-8501-2020
2. Estimating Global Anthropogenic CO2 Gridded Emissions Using a Data-Driven Stacked Random Forest Regression Model Y. Zhang et al. 10.3390/rs14163899
3. Accounting for meteorological biases in simulated plumes using smarter metrics P. Vanderbecken et al. 10.5194/amt-16-1745-2023
4. A global map of emission clumps for future monitoring of fossil fuel CO2 emissions from space Y. Wang et al. 10.5194/essd-11-687-2019
5. Spatio-Temporal Analysis of CO2 Emissions from Vehicles in Urban Areas: A Satellite Imagery Approach N. Yaacob et al. 10.3390/su162310765
6. Pixel Size and Revisit Rate Requirements for Monitoring Power Plant CO2 Emissions from Space T. Hill & R. Nassar 10.3390/rs11131608
7. Quantification of CO2 hotspot emissions from OCO-3 SAM CO2 satellite images using deep learning methods J. Dumont Le Brazidec et al. 10.5194/gmd-18-3607-2025
8. Improved estimation of CO2 emissions from thermal power plants based on OCO-2 XCO2 retrieval using inline plume simulation Y. Li et al. 10.1016/j.scitotenv.2023.169586
9. Determination of the emission rates of CO2 point sources with airborne lidar S. Wolff et al. 10.5194/amt-14-2717-2021
10. Optimizing a dynamic fossil fuel CO2 emission model with CTDAS (CarbonTracker Data Assimilation Shell, v1.0) for an urban area using atmospheric observations of CO2, CO, NOx, and SO2 I. Super et al. 10.5194/gmd-13-2695-2020
11. The Space Carbon Observatory (SCARBO) concept: assessment of XCO2 and XCH4 retrieval performance M. Dogniaux et al. 10.5194/amt-15-4835-2022
12. Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations T. Zheng et al. 10.1088/1748-9326/ab25ae
13. Detectability of CO2 emission plumes of cities and power plants with the Copernicus Anthropogenic CO2 Monitoring (CO2M) mission G. Kuhlmann et al. 10.5194/amt-12-6695-2019
14. A local- to national-scale inverse modeling system to assess the potential of spaceborne CO2 measurements for the monitoring of anthropogenic emissions D. Santaren et al. 10.5194/amt-14-403-2021
15. Urban carbon accounting: An overview L. Yin et al. 10.1016/j.uclim.2022.101195
16. Local Anomalies in the Column‐Averaged Dry Air Mole Fractions of Carbon Dioxide Across the Globe During the First Months of the Coronavirus Recession F. Chevallier et al. 10.1029/2020GL090244
17. The CO2 integral emission by the megacity of St Petersburg as quantified from ground-based FTIR measurements combined with dispersion modelling D. Ionov et al. 10.5194/acp-21-10939-2021
18. Complementing XCO2 imagery with ground-based CO2 and 14CO2 measurements to monitor CO2 emissions from fossil fuels on a regional to local scale E. Potier et al. 10.5194/amt-15-5261-2022
19. Spectral sizing of a coarse-spectral-resolution satellite sensor for XCO2 J. Wilzewski et al. 10.5194/amt-13-731-2020
20. Optimal selection of satellite XCO2 images for urban CO2 emission monitoring A. Danjou et al. 10.5194/amt-18-533-2025
21. XCO2 in an emission hot-spot region: the COCCON Paris campaign 2015 F. Vogel et al. 10.5194/acp-19-3271-2019
22. The CO2 Human Emissions (CHE) Project: First Steps Towards a European Operational Capacity to Monitor Anthropogenic CO2 Emissions G. Balsamo et al. 10.3389/frsen.2021.707247
23. Quantifying CO2 Emissions of Power Plants With CO2 and NO2 Imaging Satellites G. Kuhlmann et al. 10.3389/frsen.2021.689838
24. UAV Databased Temperature Patterns Analysis with Carbon Emission Detection Using Deep Neural Network S. Mohanty et al. 10.1007/s41976-024-00143-x
25. Improved definition of prior uncertainties in CO2 and CO fossil fuel fluxes and its impact on multi-species inversion with GEOS-Chem (v12.5) I. Super et al. 10.5194/gmd-17-7263-2024
26. 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
27. Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al. 10.5194/amt-16-581-2023
28. A study of measurement scenarios for the future CO2M mission: avoidance of detector saturation and the impact on XCO2 retrievals M. Weimer et al. 10.5194/amt-18-3321-2025
29. PMIF v1.0: assessing the potential of satellite observations to constrain CO2 emissions from large cities and point sources over the globe using synthetic data Y. Wang et al. 10.5194/gmd-13-5813-2020
30. Spatialization and driving factors of carbon budget at county level in the Yangtze River Delta of China S. Wang et al. 10.1007/s11356-023-28917-8
31. Far-field biogenic and anthropogenic emissions as a dominant source of variability in local urban carbon budgets: A global high-resolution model study with implications for satellite remote sensing A. Schuh et al. 10.1016/j.rse.2021.112473
32. Enhancing scientific transparency in national CO2 emissions reports via satellite-based a posteriori estimates M. Watanabe et al. 10.1038/s41598-023-42664-3
33. Automated detection of atmospheric NO2 plumes from satellite data: a tool to help infer anthropogenic combustion emissions D. Finch et al. 10.5194/amt-15-721-2022
34. Greenhouse gas retrievals for the CO2M mission using the FOCAL method: first performance estimates S. Noël et al. 10.5194/amt-17-2317-2024
35. Exploring Urban XCO2 Patterns Using PRISMA Satellite: A Case Study in Shanghai Y. Wu et al. 10.3390/atmos15030246
36. The potential of a constellation of low earth orbit satellite imagers to monitor worldwide fossil fuel CO2 emissions from large cities and point sources F. Lespinas et al. 10.1186/s13021-020-00153-4
37. Characterization of a commercial lower-cost medium-precision non-dispersive infrared sensor for atmospheric CO2 monitoring in urban areas E. Arzoumanian et al. 10.5194/amt-12-2665-2019
38. Evaluating the Ability of the Pre-Launch TanSat-2 Satellite to Quantify Urban CO2 Emissions K. Wu et al. 10.3390/rs15204904
39. Large CO2 Emitters as Seen From Satellite: Comparison to a Gridded Global Emission Inventory F. Chevallier et al. 10.1029/2021GL097540
40. Spatial temporal pattern of carbon dioxide emission from vehicle N. Yaacob et al. 10.1088/1755-1315/1167/1/012009
41. Monitoring and quantifying CO2emissions of isolated power plants from space X. Lin et al. 10.5194/acp-23-6599-2023
42. Estimating carbon emissions from thermal power plants based on thermal characteristics K. Li et al. 10.1016/j.jag.2024.103768
43. Detection of fossil fuel emission trends in the presence of natural carbon cycle variability Y. Yin et al. 10.1088/1748-9326/ab2dd7
44. Benchmarking data-driven inversion methods for the estimation of local CO2 emissions from synthetic satellite images of XCO2 and NO2 D. Santaren et al. 10.5194/amt-18-211-2025
45. Monitoring fossil fuel CO2 emissions from co-emitted NO2 observed from space: progress, challenges, and future perspectives H. Li et al. 10.1007/s11783-025-1922-x
46. Deep learning applied to CO2 power plant emissions quantification using simulated satellite images J. Dumont Le Brazidec et al. 10.5194/gmd-17-1995-2024
47. Quantifying CO2 emissions of a city with the Copernicus Anthropogenic CO2 Monitoring satellite mission G. Kuhlmann et al. 10.5194/amt-13-6733-2020
48. Can a regional-scale reduction of atmospheric CO2 during the COVID-19 pandemic be detected from space? A case study for East China using satellite XCO2 retrievals M. Buchwitz et al. 10.5194/amt-14-2141-2021
49. Emerging reporting and verification needs under the Paris Agreement: How can the research community effectively contribute? L. Perugini et al. 10.1016/j.envsci.2021.04.012
50. Retrieving the atmospheric concentrations of carbon dioxide and methane from the European Copernicus CO2M satellite mission using artificial neural networks M. Reuter et al. 10.5194/amt-18-241-2025
51. Accounting for the vertical distribution of emissions in atmospheric CO2 simulations D. Brunner et al. 10.5194/acp-19-4541-2019
52. The Influence of Instrumental Line Shape Degradation on Gas Retrievals and Observation of Greenhouse Gases in Maoming, China D. Liu et al. 10.3390/atmos12070863
53. 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
54. Mapping the CO2 total column retrieval performance from shortwave infrared measurements: synthetic impacts of the spectral resolution, signal-to-noise ratio, and spectral band selection M. Dogniaux & C. Crevoisier 10.5194/amt-17-5373-2024
55. Sensitivity to the sources of uncertainties in the modeling of atmospheric CO2 concentration within and in the vicinity of Paris J. Lian et al. 10.5194/acp-21-10707-2021