Lake turbidity mapping method for constructing BP-TURB based on optical water body type and BP neural network algorithm

The invention discloses a lake turbidity mapping method for constructing BP-TURB based on an optical water body type and a BP neural network algorithm, and relates to a lake turbidity mapping method based on the optical water body type and a model. The method aims to solve the technical problem that an existing algorithm limits the applicability of a turbidity inversion model to an optical diversity water body. The construction process of the method comprises the following steps: analyzing water optical characteristics and water quality parameter characteristics based on national typical inland lake water satellite-ground synchronous data in continuous three years, and screening a waveband reflectivity combination sensitive to turbidity change in the lake water; wave band reflectivity is clustered into three classes, a BP neural network is used as an input variable, and a lake turbidity inversion algorithm under different reflectivity spectral clustering characteristics is constructed; and finally, coupling t