Effects of cloudy atmosphere on microwave signals in channels of AMSR-E

doi:10.7523/j.issn.2095-6134.2018.01.006

Abstract

Abstract: Passive microwave remote sensing has the ability to obtain surface radiation information through clouds, fog, rain, and snow. Therefore, in cloudy weather, it is obviously better than thermal infrared remote sensing in land surface temperature retrieval. However, the clouds and the atmospheric molecules affect the microwave signals to some extent. The effects of cloudy atmosphere on microwave signals in the advanced microwave scanning radiometer-earth observing system (AMSR-E) channels were studied by the way of combining theoretical analysis and model simulation. Results show that the effects can be ignored in 6.925 and 10.65 GHz channels, but cannot be ignored in 18.7, 23.8, 36.5, and 89 GHz channels. The effects in the last four channels can be expressed as functions of precipitable water vapor and cloud liquid water. Based on the above study and further analysis, three channels, 18.7, 23.8, and 36.5 GHz, are selected to build a land surface temperature inversion algorithm with higher accuracy.

Key words: passive microwave remote sensing, effects of cloudy atmosphere, precipitable water vapor, cloud liquid water, land surface temperature

CLC Number:

TP722.6

SUN Chuan, SONG Xiaoning, ZHOU Fangcheng, LI Zhaoliang. Effects of cloudy atmosphere on microwave signals in channels of AMSR-E[J]. , 2018, 35(1): 42-49.

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