| This paper selects Chahar Right Middle Banner,Chahar Right Rear Banner and Shangdu County as the typical regions of farmland pastoral zone of northern foot of Yin Mountain,and uses remote sensing image as the main data source,and uses the techniques of remote sensing,GIS spatial analysis and IDL programming to extract land use,NDVI and land surface temperature data from the images of 2000,2005,2010 and 2015.This paper analyzes the temporal and spatial variation of land use and land surface temperature for almost 15 years,and draw the following conclusion:(1)The change trend of land use intensity is firstly increased and then decreased in the study area from 2000 to 2015.City is the most obvious place to increase the intensity,and farmland that has been decreasing is a major source of increased forest land.(2)NDVI shows a decrease in spatial distribution from southwest to northeast.NDVI increased significantly in the southern area of the central banner and Shangdu county,and the increase was mainly concentrated in the vicinity of the Yinshan Mountain range.In addition,NDVI in the forested area also shows an increasing trend.The surface temperature has obvious periodicity over time.The surface temperature starts to rise in January,and increases to the highest temperature in July,and then drops to the lowest temperature in December.During the whole observation period,the average annual surface temperature of the study area shows an increasing trend,and the land use catagories of grass and city are the main area of land surface temperature increasing.The spatial distribution of surface temperature is greatly influenced by terrain and topography.(3)NDVI and surface temperature show significant positive correlation from 2000 to 2015,and these indicate that the difference of land use type determines the temporal variation characteristics of NDVI.The response of surface temperature to land use change is stronger.In spatial variation,land type and time influence the land surface temperature impact of land use,and is only significantly negative in summer and autumn.The negative correlation between different classes is obvious,and the negative correlation between forest,grass and farmland is generally higher,and it is stable in time.The higher the level of NDVI,the greater the difference in space,the more significant the negative correlation between NDVI and surface temperature. |