Laser & Optoelectronics Progress, Volume. 59, Issue 1, 0101001(2022)
Atmospheric Carbon Dioxide Inversion and Surface Reflectance Analysis Based on Ratio Method
One of the gases responsible for the greenhouse effect is carbon dioxide (CO2). For climate prediction, human production, and human life, the spatial distribution of CO2 concentrations must be considered. Controlling the spatial and temporal distribution of CO2 worldwide requires an accurate inversion of CO2 concentrations. However, in the near-infrared band, surface reflectance uncertainty affects the inversion of CO2 concentration. The ratio method is introduced to process the satellite ground-to-ground radiation spectrum, and it is verified that the absorption band radiance ratio and CO2 concentration are related; moreover, inverting the CO2 concentration using the relationship is feasible. The data source was the MODTRAN4-simulated radiation spectrum, and the four absorption peaks' spectral radiance ratio and CO2 concentrations were selected for analysis. The results show that the spectral radiance ratio and CO2 concentration have an approximately linear relationship, and the linear relationship is evident at 6310 cm-1, with an error of only 1.15%. The ratio of radiance ratio to concentration is further investigated using various atmospheric and aerosol models. The results show the radiance ratio and concentration are highly correlated in the range of 0.1-0.9 reflectivities, the correlation coefficient is up to 0.98, and the average error is less than 2%. The measured data is subjected to the same processing as the simulation data, and the results are compared with simulated data. The linear relationship at 6334 cm-1 is the best among the four bands, and the linear relationship reaches 0.99. It shows that the spectral radiance ratio and CO2 concentrations have a linear relationship, and this relationship can be effectively applied to the inversion of CO2 concentration, effectively eliminating surface reflectance.
Get Citation
Copy Citation Text
Xinqiang Wang, Qiuyu Liang, Song Ye, Fangyuan Wang, Shu Li, Shan Yin, Yongying Gan. Atmospheric Carbon Dioxide Inversion and Surface Reflectance Analysis Based on Ratio Method[J]. Laser & Optoelectronics Progress, 2022, 59(1): 0101001
Category: Atmospheric Optics and Oceanic Optics
Received: Mar. 26, 2021
Accepted: Apr. 21, 2021
Published Online: Dec. 23, 2021
The Author Email: Gan Yongying (sugargan@163.com)