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Proceedings Paper

A bio-optical approach to estimating chlorophyll-a concentration from hyperspectral remote sensing
Author(s): Linhai Li; Lin Li; Kaishan Song
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Paper Abstract

Eagle Creek Reservoir is one of three central Indiana reservoirs supplying drinking water for the residents of Indianapolis. The occurrence of blue-green algae blooms resulting from high nutrient input has been a major public concern so that estimation of chlorophyll-a concentration of this reservoir is significantly important for assessing the reservoir's water quality. Empirical and semi-empirical methods were used in our previous studies for estimating CHL. Due to limitations to empirical and semi-empirical methods, a bio-optical model is tested in this study. Field campaigns were carried out in Eagle Creek Reservoir in central Indiana, and water samples analyzed for water quality parameter concentrations and their inherent optical properties (IOPs). A bio-optical model parameterized with these derived IOPs is used to estimate CHL concentration through a matrix inversion of hyperspectral data, and its performance is compared with those for empirical and semi-empirical models. The result demonstrates that the bio-optical model results in a higher correlation than empirical and semi-empirical models do.

Paper Details

Date Published: 12 August 2010
PDF: 10 pages
Proc. SPIE 7809, Remote Sensing and Modeling of Ecosystems for Sustainability VII, 78090E (12 August 2010); doi: 10.1117/12.859484
Show Author Affiliations
Linhai Li, Indiana Univ.-Purdue Univ. Indianapolis (United States)
Lin Li, Indiana Univ.-Purdue Univ. Indianapolis (United States)
Kaishan Song, Indiana Univ.-Purdue Univ. Indianapolis (United States)


Published in SPIE Proceedings Vol. 7809:
Remote Sensing and Modeling of Ecosystems for Sustainability VII
Wei Gao; Thomas J. Jackson; Jinnian Wang, Editor(s)

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