15 citations as recorded by crossref.

1. A high-precision retrieval method for methane vertical profiles based on dual-band spectral data from the GOSAT satellite L. Li et al. 10.1016/j.atmosenv.2023.120183
2. On the potential of a neural-network-based approach for estimating XCO2 from OCO-2 measurements F. Bréon et al. 10.5194/amt-15-5219-2022
3. Global Evaluation and Intercomparison of XCO2 Retrievals from GOSAT, OCO-2, and TANSAT with TCCON J. Fang et al. 10.3390/rs15205073
4. XCO2 Fusion Algorithm Based on Multi-Source Greenhouse Gas Satellites and CarbonTracker A. Liang et al. 10.3390/atmos14091335
5. Atmospheric CO2retrieval from satellite spectral measurements by a two-step machine learning approach Z. Zhao et al. 10.1016/j.jqsrt.2021.108006
6. An improved band design framework for atmospheric pollutant detection and its application to the design of satellites for CO2 observation Z. Wu et al. 10.1016/j.jqsrt.2023.108712
7. Evaluating national and subnational CO2 mitigation goals in China’s thirteenth five-year plan from satellite observations G. Pan et al. 10.1016/j.envint.2021.106771
8. Estimation of the Concentration of XCO2 from Thermal Infrared Satellite Data Based on Ensemble Learning X. Gong et al. 10.3390/atmos15010118
9. Estimating high spatio-temporal resolution XCO2 using spatial features deep fusion model L. Cui et al. 10.1016/j.atmosres.2024.107542
10. Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation K. Hu et al. 10.3390/rs16183394
11. Mapping contiguous XCO2 by machine learning and analyzing the spatio-temporal variation in China from 2003 to 2019 M. Zhang & G. Liu 10.1016/j.scitotenv.2022.159588
12. Seamless reconstruction and spatiotemporal analysis of satellite-based XCO2 incorporating temporal characteristics: A case study in China during 2015–2020 J. He et al. 10.1016/j.asr.2024.07.007
13. Fast retrieval of XCO2 over east Asia based on Orbiting Carbon Observatory-2 (OCO-2) spectral measurements F. Xie et al. 10.5194/amt-17-3949-2024
14. Methane Retrieval Algorithms Based on Satellite: A Review Y. Jiang et al. 10.3390/atmos15040449
15. Machine learning-based aerosol characterization using OCO-2 O2 A-band observations S. Chen et al. 10.1016/j.jqsrt.2021.108049