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Proceedings Paper

Improved conceptual three-band model for Chlorophyll-a retrieval in inland Case-II waters
Author(s): Jing P. Xu; Fang Li; Bai Zhang; Kai S. Song; Zong M. Wang; Dian W. Liu; Guang X. Zhang
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Paper Abstract

In terms of the importance and challenge of accurate Chlorophyll-a (Chla) estimation in inland Case-II waters, many empirical or semi-empirical algorithms are established to extract information on Chla concentrations from remote sensing reflectance . However, the assumption that the optical parameter of Chla specific absorption coefficient a*ph(λ) remains constant usually restrains their estimating accuracy, including the conceptual three-band model [Rrs-11)-(λ2)]×Rrs3) developed originally for estimating Chla amounts in terrestrial vegetation recently. Therefore, in this paper, an improved conceptual three-band model with the correction of Chla specific absorption coefficient [Rrs-11)-Rrs-12)]×Rrs3×)×a*ph-11) was presented to estimate Chla contents for Shitoukoumen Reservoir, as a typical example of inland Case-II waters. According to the optical characteristics of waters studied, spectral regions included in the model were tuned to eliminate other interferences such as the variability of Chla fluorescence quantum yield, which resulted in the optimal positions for , and at 668nm, 678nm and 717nm respectively. Compared with the previous three-band model, the improve model gave out a much better estimating performance with a high coefficient determination (0.92) and a low root mean squared error (0.88μgl-1). Although the findings underline the rationale behind the improved model, an extensive database containing data in different water conditions and water types is required to test the accuracy of the model.

Paper Details

Date Published: 3 November 2008
PDF: 8 pages
Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 71451L (3 November 2008); doi: 10.1117/12.813039
Show Author Affiliations
Jing P. Xu, Northeast Institute of Geography and Agricultural Ecology (China)
Graduate School of Chinese Academy of Sciences (China)
Fang Li, 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)
Guang X. Zhang, Northeast Institute of Geography and Agricultural Ecology (China)


Published in SPIE Proceedings Vol. 7145:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Yong Lao, Editor(s)

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