16 citations as recorded by crossref.

1. Estimating regional methane surface fluxes: the relative importance of surface and GOSAT mole fraction measurements A. Fraser et al.
2. Consistent satellite XCO2 retrievals from SCIAMACHY and GOSAT using the BESD algorithm J. Heymann et al.
3. Ground-based remote sensing of atmospheric total column CO2and CH4by direct sunlight in Hefei S. Cheng et al.
4. Global land mapping of satellite-observed CO2 total columns using spatio-temporal geostatistics Z. Zeng et al.
5. The Greenhouse Gas Climate Change Initiative (GHG-CCI): comparative validation of GHG-CCI SCIAMACHY/ENVISAT and TANSO-FTS/GOSAT CO2 and CH4 retrieval algorithm products with measurements from the TCCON B. Dils et al.
6. Anthropogenic carbon dioxide source areas observed from space: assessment of regional enhancements and trends O. Schneising et al.
7. Analysis of spatiotemporal patterns of atmospheric CO2 concentration in the Yellow River Basin over the past decade based on time-series remote sensing data Y. Lv et al.
8. Carbon Monitoring Satellite (CarbonSat): assessment of atmospheric CO2 and CH4 retrieval errors by error parameterization M. Buchwitz et al.
9. The Greenhouse Gas Climate Change Initiative (GHG-CCI): Comparison and quality assessment of near-surface-sensitive satellite-derived CO2 and CH4 global data sets M. Buchwitz et al.
10. SCIAMACHY WFM-DOAS XCO2: reduction of scattering related errors J. Heymann et al.
11. Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set M. Buchwitz et al.
12. Interpreting seasonal changes of low-tropospheric CO 2 over China based on SCIAMACHY observations during 2003–2011 W. Xi et al.
13. A Data-Driven Assessment of Biosphere-Atmosphere Interaction Impact on Seasonal Cycle Patterns of XCO2 Using GOSAT and MODIS Observations Z. He et al.
14. Spatiotemporal evaluation of atmospheric CO2 fluctuations in Shaanxi Province (2013–2022) utilizing multi-source satellite remote sensing data Y. Li et al.
15. A Review of Anthropogenic Ground-Level Carbon Emissions Based on Satellite Data K. Hu et al.
16. An Analysis Method of Gas Absorption Spectrum Characteristics Based on Fuzzy Comprehensive Evaluation Z. Wu et al.