[Hyperspectral remote sensing of total suspended matter concentrations in Lake Taihu based on water optical...

Four field investigations were carried out in the Taihu Lake for collecting in situ observation data in Nov. 2008, Apr. 2009, May and Aug. 2010. On the basis of water optical classification, different retrieval algorithms were developed, specific for different types of waters. Based on the preformance of each model comparion in each type of waters, the optimal models obtained were (1) the band ratio model for Type 1 water; (2) the semi-analysis algorithm model 2 for Type 2 water; (3) the first-order differential model for Type 3 water. Meanwhile, an optimal retrieval model was also established using the same collection of calibration data. Some comparisons were done between the developed models for the classified and non-classified waters. The comparison results showed that the models for the classified waters had better performances than that for the non-classified water, in both the retrieval accuracy and the model stability. Then, analyses of the optical classification leading to the accuracy decrease of the semi-analysis algorithm model were processed. Finally, the results of this study in hyperspectral remote sensing date showed a great application potential by analysis. The findings of this study are significant for promoting the development of water color remote sensing for optically complex turbid inland waters.