A bio-optical approach to estimating chlorophyll-a concentration from hyperspectral remote sensing

Linhai Li; Lin Li; Kaishan Song

doi:10.1117/12.859484

12 August 2010 A bio-optical approach to estimating chlorophyll-a concentration from hyperspectral remote sensing

Linhai Li, Lin Li, Kaishan Song

Proceedings Volume 7809, Remote Sensing and Modeling of Ecosystems for Sustainability VII; 78090E (2010) https://doi.org/10.1117/12.859484
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

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.

Citation Download Citation

Linhai Li, Lin Li, and Kaishan Song "A bio-optical approach to estimating chlorophyll-a concentration from hyperspectral remote sensing", Proc. SPIE 7809, Remote Sensing and Modeling of Ecosystems for Sustainability VII, 78090E (12 August 2010); https://doi.org/10.1117/12.859484

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