Remote Sensing Applications and Decision Support

Versatile time-dependent spatial distribution model of sun glint for satellite-based ocean imaging

[+] Author Affiliations
Guanhua Zhou

Beihang University, School of Instrument Science and Opto-Electronics Engineering, Beijing, China

State Oceanic Administration, Key Laboratory of Space Ocean Remote Sensing and Application, Beijing, China

Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Beijing, China

Wujian Xu, Chunyue Niu, Zhongqi Ma, Jiwen Wang, Yue Zhang

Beihang University, School of Instrument Science and Opto-Electronics Engineering, Beijing, China

Kai Zhang

Chinese Research Academy of Environmental Sciences, State Key Laboratory of Environmental Criteria and Risk Assessment, Beijing, China

J. Appl. Remote Sens. 11(1), 016020 (Feb 03, 2017). doi:10.1117/1.JRS.11.016020
History: Received March 18, 2016; Accepted January 10, 2017
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Abstract.  We propose a versatile model to describe the time-dependent spatial distribution of sun glint areas in satellite-based wave water imaging. This model can be used to identify whether the imaging is affected by sun glint and how strong the glint is. The observing geometry is calculated using an accurate orbit prediction method. The Cox-Munk model is used to analyze the bidirectional reflectance of wave water surface under various conditions. The effects of whitecaps and the reflectance emerging from the sea water have been considered. Using the moderate resolution atmospheric transmission radiative transfer model, we are able to effectively calculate the sun glint distribution at the top of the atmosphere. By comparing the modeled data with the medium resolution imaging spectrometer image and Feng Yun 2E (FY-2E) image, we have proven that the time-dependent spatial distribution of sun glint areas can be effectively predicted. In addition, the main factors in determining sun glint distribution and the temporal variation rules of sun glint have been discussed. Our model can be used to design satellite orbits and should also be valuable in either eliminating sun glint or making use of it.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Guanhua Zhou ; Wujian Xu ; Chunyue Niu ; Kai Zhang ; Zhongqi Ma, et al.
"Versatile time-dependent spatial distribution model of sun glint for satellite-based ocean imaging", J. Appl. Remote Sens. 11(1), 016020 (Feb 03, 2017). ; http://dx.doi.org/10.1117/1.JRS.11.016020


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