Remote Sensing Technology and Application, Volume. 39, Issue 4, 809(2024)
Sensitivity Analysis and Inversion Wavelength Selection for Atmospheric Methane Detection based on HIRAS
Methane contributes about one quarter to global warming and can affect the concentration of ozone, water vapor, hydroxyl groups and other components in the atmosphere. The inversion of vertical methane concentration is of great significance, and the sensitivity analysis of remote sensing detection and the selection of inversion wavelength are the basis of methane inversion. In this paper, based on the characteristics of the infrared Hyperspectral Vertical Atmospheric Sounder (HIRAS) on the Fengyun-3E star, we carry out forward simulation of atmospheric methane detection on the basis of the infrared atmospheric radiative transfer mechanism, and conduct detection sensitivity analysis and inversion wavelength selection. Firstly, the main absorption window of CH4 and the main interference components are analyzed based on the high-resolution transmittance spectral line library (HITRAN), and then based on the atmospheric profile background library and the instrumental parameters of HIRAS, the 1 200~1 400 cm-1 band CH4 and its interference elements (atmospheric temperature, surface temperature, surface emissivity,H2O,N2O,CO2, F14, HNO3 and O3) detection sensitivity. The results show that the atmospheric temperature, surface temperature, surface emissivity, H2O, and N2O have a strong interfering effect on the irradiance brightness as well as the brightness temperature in the 1 200~1 400 cm-1 band range. Finally, the information entropy principle based on the Jacobian matrix is used for the initial selection of CH4 detection wavelengths, and combined with the results of detection sensitivity analysis, the selection of CH4 inversion wavelengths for HIRAS detection is completed.
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Weifang FANG, Xiaoying LI, Yapeng WANG, Tianhai CHENG, Shenshen LI, Yuhang GUO, Wenjing LU. Sensitivity Analysis and Inversion Wavelength Selection for Atmospheric Methane Detection based on HIRAS[J]. Remote Sensing Technology and Application, 2024, 39(4): 809
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Received: Sep. 9, 2023
Accepted: --
Published Online: Jan. 6, 2025
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