
Proceedings Paper
Simplified bio-optical modeling of concentrations of total suspended matter in a turbid inland water conditionFormat | Member Price | Non-Member Price |
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Paper Abstract
In recent years, the bio-optical model has been paid more and more attention. In order to validate its applicability in the
near-infrared wavelengths to Case II waters, two simply parameterized equations employing reflectance at 808nm and
873nm were established to estimate total suspended matter (TSM) concentrations in the Shitoukoumen Reservoir that
represented a turbid inland water condition. It was showed that both equations gave out comparative good performance
with coefficient determination (R2) larger than 0.85 and root mean squared error (RMSE) much lower than data span for
both training and test data. Based on the transfer of radiation in waters, the bio-optical model could integrate well
apparent optical properties (AOPs) with inherent optical properties (IOPs). However, further investigation is needed to
upgrade the bio-optical dataset and to refine the model for the universal applications.
Paper Details
Date Published: 26 July 2007
PDF: 9 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67521J (26 July 2007); doi: 10.1117/12.760493
Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information
Weimin Ju; Shuhe Zhao, Editor(s)
PDF: 9 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67521J (26 July 2007); doi: 10.1117/12.760493
Show Author Affiliations
Jing P. Xu, Northeast Institute of Geography and Agricultural Ecology (China)
Bai Zhang, Northeast Institute of Geography and Agricultural Ecology (China)
Kai S. Song, Northeast Institute of Geography and Agricultural Ecology (China)
Zong M. Wang, Northeast Institute of Geography and Agricultural Ecology (China)
Bai Zhang, Northeast Institute of Geography and Agricultural Ecology (China)
Kai S. Song, Northeast Institute of Geography and Agricultural Ecology (China)
Zong M. Wang, Northeast Institute of Geography and Agricultural Ecology (China)
Dian W. Liu, Northeast Institute of Geography and Agricultural Ecology (China)
Xiao F. Li, Northeast Institute of Geography and Agricultural Ecology (China)
Hong T. Duan, Northeast Institute of Geography and Agricultural Ecology (China)
Xiao F. Li, Northeast Institute of Geography and Agricultural Ecology (China)
Hong T. Duan, Northeast Institute of Geography and Agricultural Ecology (China)
Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information
Weimin Ju; Shuhe Zhao, Editor(s)
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