A Study on the Quantitative Model of the Suspended Sediment Concentration from the Meteorological Satellite Imagery

According to the multi-temporal NOAA/AVHRR imagery and near simultaneously acquired in-situ surface-layer sediment data, this paper uses 3 kinds of parameter, i.e. the gray values of the imagery, the slope of R-1-R-2 relative curve, and the sediment index to establish the quantitative retrieval models for sediment's concentration respectively, and to assess their application effects.;The correlation of the model obtained from the gray value method, for using only the spectral information of one band, is not very good; The slope method corrects the atmospheric affection by computing the R-1-R-2 relative curve, and the model from it is stable. While, the sudden change of the slope value often happens in the interface of the water of different sediment's concentration, which will affect the result. The sediment index method uses the spectral information of Ch1 and Ch2, a good quantitative model and imagery with plenty of sediment information are derived.