Chlorophyll-a concentration (Chl-a) of microphytobenthos of tidal flat sediments core was measured with a resolution of 3 mm and 1 mm in day time at the Sishili Bay; and surface reflectance of tidal flat was simultaneously measured. Chl-a remote sensing retrieval algorithm was established on the regression with the NDI-MPB (Normalized difference index of microphytobenthos) which was based on the reflectance at 675 nm and 700 nm. In situ data showed that Chl-a (proxy of microphytobenthos biomass in this study) decreased in an exponential function with the increase in depth, and the vertical distribution of Chl-a might be characterized by the slop of the exponentially decreasing model of Chl-a. The impacts of variations in the vertical distribution of Chl-a on the remote sensing retrieval algorithms were simulated, and results showed that Chl-a retrieval algorithms changed with its vertical distribution.
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