Title
A Spectral Decomposition Algorithm for Estimating Chlorophyll-a Concentrations in Lake Taihu, China
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.
Year
DOI
Venue
2014
10.3390/rs6065090
REMOTE SENSING
Keywords
Field
DocType
spectral decomposition algorithm,chlorophyll-a,Case II waters,Lake Taihu
Imaging spectrometer,Chlorophyll a,Remote sensing,Matrix decomposition,Spectral data,Reflectivity,Geology,Radiance,Spatial distribution
Journal
Volume
Issue
Citations 
6
6
3
PageRank 
References 
Authors
0.89
3
5
Name
Order
Citations
PageRank
Yuchao Zhang15612.88
Ronghua Ma211324.96
Hongtao Duan36614.83
Steven A. Loiselle4378.28
jinduo xu530.89