CO2 retrieval method based on GaoFen-5 satellite data

Abstract

Cloud pollution problem in remote sensing data，Atmospheric scattering ,the presence and changes of chlorophyll fluorescence in vegetation, etc., all interfere with the inversion of CO2, affecting the accuracy of CO2 inversion.In this study, the Greenhouse Gases Monitoring Instrument (GMI) data collected from GaoFen-5 (GF-5) satellite was applied to the cloud detection study in O2 A band. The detection results were compared with the cloud judgment product of the moderate resolution imaging spectroradiometer (MODIS), and the proposed algorithm can filterout 90% of the clear sky data. Based on this, a more in-depth study of atmospheric CO2 retrieval was carried out. The CO2 retrieval results were compared with those data collected from the Total Carbon Column Observing Network (TCCON) and Greenhouse Gases Observing Satellite, and the results showed that the average accuracy of CO2 retrieval results was better than 1%. In addition, the correlation coefficient between the results of CO2 retrieval method and the data collected from TCCON was 0.85. Due to the effect of vegetation chlorophyll fluorescence, the CO2 retrieval results based on the GMI data were higher than TCCON collected data. After the corrections to reduce the effect of vegetation chlorophyll fluorescence, the correlation coefficient of the CO2 retrieval results between GMI and TCCON