Abstract
Remote sensing (RS) data can be used to estimate the chlorophyll-a concentration of water body, which has become a key issue of water quality monitoring. Processed and analyzed the MAMS on August 2005, we estimated chlorophyll-a concentration using ratio and differential coefficient method in East coastal water. But these two models' applicability confined in single area and single phase. In this paper we used mixing spectral analysis model for extracting chlorophyll-a concentration and mapping the distribution of chlorophyll-a concentration. The result shows that the new style of remote sensing data MAMS can be used for monitoring chlorophyll-a concentration, and that mixing spectral analysis is an optimal method for estimating water chlorophyll-a concentration.
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