Paper
7 November 2008 The quasi-analytic remote sensing algorithm of CDOM in the China Yellow Sea and East Sea
Author Affiliations +
Proceedings Volume 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images; 714718 (2008) https://doi.org/10.1117/12.813245
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
Colored dissolved organic matter (CDOM) is one of the most important optical components which affect the sea surface spectral. Because of the similar spectral absorption properties between CDOM and organic detritus, it is difficult to separate them, especially in the coastal water with high turbidity. In many study, the total absorption coefficient of CDOM and organic detritus was combined as a optical parameter retrieved by the remote sensing algorithms. In this paper, a quasi-analytic remote sensing algorithm of CDOM has been developed, which can separate the absorption between CDOM and organic detritus. Firstly, the absorption spectrums of CDOM and organic detritus have been analyzed using the in-situ optical dataset measured by the Case II water optical investigation program in China Yellow Sea and East Sea in the spring, 2003. And then, a quasi-analytic remote sensing algorithm of CDOM has been developed to derive the absorption coefficients of the CDOM and organic detritus separately from the total absorption coefficient which can be retrieved from ocean color remote sensing data directly. The algorithm has been validated using the in-situ optical dataset of China Yellow Sea and East China Sea in the spring of 2003, and the synthesis optical data set and global in situ data set from IOCCG, and the results show that this algorithm perform well.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan Bai, Delu Pan, Xianqiang He, and Fang Gong "The quasi-analytic remote sensing algorithm of CDOM in the China Yellow Sea and East Sea", Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 714718 (7 November 2008); https://doi.org/10.1117/12.813245
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Cited by 4 scholarly publications.
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KEYWORDS
Absorption

Code division multiplexing

Remote sensing

Algorithm development

Ocean optics

Global system for mobile communications

Data modeling

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