A quantitative inverse remote sensing model for measuring suspended sediment concentration

Suspended sediment water samples were taken from tidal creek of the New Beiling Gate in Haian County Jiangsu Province. This essay is aimed at using gathered suspended sediment samples to grade samples with different grain diameter and concentration, doing spectral measurement and analyzing spectrum characteristics of the suspended sediment samples. Based on the experiment results, the concentration of suspended sediment water and sensible wave bands of grain diameters was chosen to construct the sensible wave band model and principle component model. The data and results showed the principle component model may obtain plenty of multicenter spectrum reflection information of suspended sediment water. The inverse capability of the major constituent model was greater than that of the sensible wave band model. The principle component model showed even better precision.