Study on the Quantitative Remote Sensing Model for the Suspended Sediment Concentration in Coastal Waters with ASTER Data

摘要

Suspended sediment concentration (SSC) is one of the most important water quality parameters. After corrected by 6S atmospheric model, the spectral profiles of water reflectivity of ASTER data are analyzed. There is greater difference in spectral visible and near-infrared bands than that in spectral short wave infrared bands. The higher SSC is, the larger RR/RG is, in which RG and RR are the reflectivity of green band (channel 1) and red band (channel 2). So SSC may be expressed as the function of RR/RG: SSC = f(RR/RG). The quantitative remote sensing model for estimating SSC in coastal waters is founded. The model is well applied in coastal waters of the Yellow River Delta in China.