Snow is the major water source of rivers in the arid areas in the northwest. Its temporal and spatial variation is one of the sensitive factors responses to global change in the lake. This paper, using MODIS Snow Cover, Surface Temperature, SSM/I Snow Depth, DEM and other data with the help of spatial and statistics analysis function of GIS, analyzes the temporal and spatial variation regularity of snow cover and snow depth of Lake Bosten Basin, and studies their relationships with the influencing factors. The results show that monthly average of snow cover and snow depth start to rise from August, reach a maximum until January, and then decline to a minimum in July, while the maximum snow depth appears in March. The correlation coefficients of snow cover, snow depth and surface temperature, are -0.878 and -0.853, respectively, while the coefficients are -0.626 and -0.791 between snow cover, snow depth and elevation. The maximum snow depth is significantly affected by the altitude with a steep step effect. From December to August, the snow depth is reducing with time, and the steep step is moving towards the high altitude, while the situation is totally opposite from September to November. The snow depth amplitude of one segment elevation response to the impact of aspect on snow depth, and the influence is greater while the amplitude is wider. Simultaneously, the amplitude, as a characteristic, moves from low altitude to high and then to low again. This study plays an important role in understanding characteristics of snow in Lake Bosten Basin. It will also provide important references for other studies, such as the simulation of snowmelt runoff.