18 citations as recorded by crossref.

1. Machine learning-based aerosol characterization using OCO-2 O2 A-band observations S. Chen et al. https://doi.org/10.1016/j.jqsrt.2021.108049
2. Accelerated MCMC for Satellite-Based Measurements of Atmospheric CO2 O. Lamminpää et al. https://doi.org/10.3390/rs11172061
3. Aerosols in OCO-2/GOSAT retrievals of XCO2: An information content and error analysis S. Sanghavi et al. https://doi.org/10.1016/j.rse.2020.112053
4. Evaluating the consistency between OCO-2 and OCO-3 XCO2 estimates derived from the NASA ACOS version 10 retrieval algorithm T. Taylor et al. https://doi.org/10.5194/amt-16-3173-2023
5. Potential improvement of XCO 2 retrieval of the OCO-2 by having aerosol information from the A-train satellites J. Hong et al. https://doi.org/10.1080/15481603.2023.2209968
6. Improved Constraints on Northern Extratropical CO2 Fluxes Obtained by Combining Surface‐Based and Space‐Based Atmospheric CO2 Measurements B. Byrne et al. https://doi.org/10.1029/2019JD032029
7. Neutral Tropical African CO2 Exchange Estimated From Aircraft and Satellite Observations B. Gaubert et al. https://doi.org/10.1029/2023GB007804
8. 基于GF-5卫星遥感数据的大气CO2快速反演方法 孙. Sun Zhiqiang et al. https://doi.org/10.3788/AOS231995
9. OCO-3 early mission operations and initial (vEarly) XCO2 and SIF retrievals T. Taylor et al. https://doi.org/10.1016/j.rse.2020.112032
10. An 11-year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm T. Taylor et al. https://doi.org/10.5194/essd-14-325-2022
11. Improving XCO2 retrieval under high aerosol loads with fused satellite aerosol Data: Advancing understanding of anthropogenic emissions H. Zhu et al. https://doi.org/10.1016/j.isprsjprs.2025.03.009
12. Exploring bias in the OCO-3 snapshot area mapping mode via geometry, surface, and aerosol effects E. Bell et al. https://doi.org/10.5194/amt-16-109-2023
13. The OCO-3 mission: measurement objectives and expected performance based on 1 year of simulated data A. Eldering et al. https://doi.org/10.5194/amt-12-2341-2019
14. Remote sensing of angular scattering effect of aerosols in a North American megacity Z. Zeng et al. https://doi.org/10.1016/j.rse.2020.111760
15. Anthropogenic CO2 monitoring satellite mission: the need for multi-angle polarimetric observations S. Rusli et al. https://doi.org/10.5194/amt-14-1167-2021
16. Post hoc Uncertainty Quantification for Remote Sensing Observing Systems A. Braverman et al. https://doi.org/10.1137/19M1304283
17. Machine-learning reconstruction of high-resolution XCO2 over Thailand (2015–2024) using integrated satellite and environmental data U. Nacksriphod et al. https://doi.org/10.1016/j.atmosenv.2026.122214
18. Active CO2 lidar extends satellite monitoring of urban fossil-fuel CO2 emissions to high-aerosol cities Y. Huang et al. https://doi.org/10.1016/j.jag.2026.105606