Objectives of the study
In the context of global climate change, the Qinghai-Tibet Plateau is warming significantly, and the Qiangtang Plateau studied in this paper is located in the hinterland of the Qinghai-Tibet Plateau, which is densely populated with lakes and plays an important role in the natural water cycle and water balance. In this paper, we take Qiangtang Plateau as the study area, extract water body information by using threshold method (Normalized Difference Water Index and Modified Normalized Difference Water Index) and supervised classification method (Maximum Likelihood Method, Support Vector Machine, Neural Network Method, Decision Tree), analyze the advantages and shortcomings of different water body extraction methods through human-computer interaction, select the most suitable method for the region, and analyze the characteristics of lake area and climate change and the correlation between them by combining meteorological data in the basin The relationship between the lake area and the climate change characteristics and the correlation between them was analyzed with the meteorological data in the basin.