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.