Classification of Desertification on the North Bank of Qinghai Lake

In this paper, RS, GIS and GPS technologies are used to interpret the remote sensing images of the north shore of Qinghai Lake from 1987 to 2014 according to the inversion results of vegetation coverage (FVC), albedo, land surface temperature (LST), soil moisture (WET) and other major parameters after image preprocessing, such as radiometric correction, geometric correction and atmospheric correction. On this basis, the decision tree classification method based on landsat8 remote sensing image is used to classify the desertification land in this area, and the development and change of desertification in this period are analyzed. The results show that the fluctuation of desertification land area in this area increased during the study period, but from 2003 to 2014, the land area of mild desertification, moderate desertification and severe desertification land were respectively decreased 0.92, 145.89 and 29.39 km2, while the area of serious desertification land still has a slow increasing trend. Whether the driving force of desertification change trend in this area is caused by human factors or global change needs to be further studied.