An improved method for atmospheric transmissivity inversion based on field atmospheric modes
HAN Liang1, DAI Xiaoai1, SHAO Huaiyong1, WANG Hongyan2
1. Faculty of Earth Sciences, Chengdu University of Technology, Chengdu 610052, China;
2. Faculty of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, China
When the land surface temperature(LST) is inverted by using mono-window algorithm, it is difficult to obtain atmospheric transmissivity when detailed atmospheric profile data are absent. In this study, an atmospheric transmissivity inversion method was improved using three basic parameters comprising near-surface temperature, relative humidity and atmospheric pressure based on the field atmospheric modes. The authors established the corresponding equations to estimate atmospheric transmittance when the atmospheric moisture content exceeds 0.4~3.0 g·cm-2. On such a basis, the authors monitored the atmospheric transmissivity changes on nationwide scale. The results of the study show that the method proposed in this paper has very high precision under the condition of lower atmospheric moisture content. The precision of LST is improved by about 25% to 71%, and only when the relative error is between 1.33% and 4.07%, the LST produces error between 0.2℃ and 0.6℃.
韩亮, 戴晓爱, 邵怀勇, 王虹俨. 基于实地大气模式改进的大气透射率反演方法[J]. 国土资源遥感, 2016, 28(4): 88-92.
HAN Liang, DAI Xiaoai, SHAO Huaiyong, WANG Hongyan. An improved method for atmospheric transmissivity inversion based on field atmospheric modes. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(4): 88-92.
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2016, Vol. 28 
