Inland lake water phycocyanobilin concentration remote sensing inversion model and method based on gradient lifting algorithm

The invention provides an inland lake water body phycocyanobilin concentration remote sensing inversion model based on a gradient boosting algorithm, the inland lake water body phycocyanobilin concentration remote sensing inversion model based on the gradient boosting algorithm is a gradient boosting regression model of a Python language, and model parameters of the gradient boosting regression model are further provided. The invention further provides an inland lake water phycocyanobilin concentration remote sensing inversion method based on the gradient lifting algorithm. According to the inland lake water body phycocyanobilin concentration remote sensing inversion model based on the gradient lifting algorithm, calculation result errors can be reduced, the accuracy of the inversion model of the water body phycocyanobilin concentration can be improved, the design is ingenious, calculation is easy and convenient, implementation is easy, cost is low, and the model is suitable for large-scale application and po