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Remote Sens. 2017, 9(7), 690; doi:10.3390/rs9070690

Effect of Solar-Cloud-Satellite Geometry on Land Surface Shortwave Radiation Derived from Remotely Sensed Data

1
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
2
Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China, gaobo@irsa.ac.cn
*
Author to whom correspondence should be addressed.
Received: 11 May 2017 / Revised: 30 June 2017 / Accepted: 2 July 2017 / Published: 5 July 2017
(This article belongs to the Special Issue Quantitative Remote Sensing of Land Surface Variables)
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Abstract

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. View Full-Text
Keywords: cloud; shadow; solar-cloud-satellite geometry; shortwave downward radiation (SWDR) cloud; shadow; solar-cloud-satellite geometry; shortwave downward radiation (SWDR)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wang, T.; Shi, J.; Husi, L.; Zhao, T.; Ji, D.; Xiong, C.; Gao, B. Effect of Solar-Cloud-Satellite Geometry on Land Surface Shortwave Radiation Derived from Remotely Sensed Data. Remote Sens. 2017, 9, 690.

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