作者:Wang, TX (Wang, Tianxing)[ 1 ] ; Shi, JC (Shi, Jiancheng)[ 1 ] ; Husi, L (Husi, Letu)[ 1 ] ; Zhao, TJ (Zhao, Tianjie)[ 1 ] ; Ji, DB (Ji, Dabin)[ 1 ] ; Xiong, C (Xiong, Chuan)[ 1 ] ; Gao, B (Gao, Bo)[ 2 ]

REMOTE SENSING

卷: 9  期: 7

文獻號: 690

DOI: 10.3390/rs9070690

出版年: JUL 2017

摘要

Clouds and their associated shadows are major obstacles to most land surface remote sensing applications. Meanwhile, solar-cloud-satellite geometry (SCSG) makes the effect of clouds and shadows on derived land surface biophysical parameters more complicated. However, in most existing studies, the SCSG effect has been frequently neglected although it is pointed out by many works that SCSG effect is a noticeable problem, especially in the field of land surface radiation budget. Taking shortwave downward radiation (SWDR) as a testing variable, this study quantified the SCSG effect on the derived SWDR, and proposed an operational scheme to correct the big effect. The results demonstrate that the proposed correcting scheme is very effective and works very well. It is revealed that a significant under- or overestimation is detected in retrieved SWDR if the SCSG effect is ignored. Typically, the induced error in SWDR can reach up to 80%. The scheme and findings of this study are expected to be inspirational for the land surface remote sensing community, wherein solar-cloud-satellite geometry is an unavoidable issue.

通訊作者地址: Wang, TX (通訊作者)

Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.

地址:

[ 1 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China

[ 2 ] Capital Normal Univ, Beijing Lab Water Resources Secur, Beijing 100048, Peoples R China