Backscattering properties and parametric model of Taihu Lakebased on spectral classification
基于光谱分类的太湖水体后向散射研究

The parameters of backscattering coefficient model have significant temporal and spatial variability. In order to overcomethis limit, a classification algorithm based on spectra dominant factors for Taihu Lake is established to classify the waterreflectance spectra into three types. Quasi-analytical algorithm and optical closure are used in this paper to stimulate the backscatteringcoefficient for three types of water reflectance spectra in Taihu Lake according to the field measurement reflectancedata. The properties of backscattering coefficient are also analyzed synchronously. On this basics, the backscattering coefficientparametric model for three types of water in Taihu Lake are established. As a result, the difference of the backscattering propertiesin different time and space is converted into the difference of bio-optical properties of dominant factor in water. Thus, theparametric models of backscattering coefficient are demonstrated to be suitable for different parts and different seasons of TaihuLake.