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Remote Sens. 2014, 6(6), 5090-5106; doi:10.3390/rs6065090

A Spectral Decomposition Algorithm for Estimating Chlorophyll-a Concentrations in Lake Taihu, China

1,†
,
1,* , 1,†
,
2,†
and
1,†
1
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
2
Department of Biotechnology, Chemistry and Pharmacy, University of Siena, CSGI, Via Aldo Moro 2, Siena 53100, Italy
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 28 March 2014 / Revised: 31 March 2014 / Accepted: 23 May 2014 / Published: 5 June 2014
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Abstract

The complex interactions among optically active substances in Case II waters make it difficult to associate the variability in spectral radiance (or reflectance) to any single component. In the present study, we developed a four end-member spectral decomposition model to estimate chlorophyll-a concentrations in a eutrophic shallow lake—Lake Taihu. The new model was constructed by simulated spectral data from Hydrolight and was successfully validated using both of simulated reflectance and in situ reflectance data. Using MEdium Resolution Imaging Spectrometer (MERIS) images, the accuracy of the new model was estimated and compared with other published models. According to the MERIS retrieved results, the spatial distribution of chlorophyll-a concentrations and its relationship with environment factors were analyzed. The application of the new model and its limits to estimate water surface chlorophyll-a concentrations in turbid lakes is also discussed. View Full-Text
Keywords: spectral decomposition algorithm; chlorophyll-a; Case II waters; Lake Taihu spectral decomposition algorithm; chlorophyll-a; Case II waters; Lake Taihu
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MDPI and ACS Style

Zhang, Y.; Ma, R.; Duan, H.; Loiselle, S.; Xu, J. A Spectral Decomposition Algorithm for Estimating Chlorophyll-a Concentrations in Lake Taihu, China. Remote Sens. 2014, 6, 5090-5106.

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