Using Landsat TM remotely sensed images captured in 1987,1994,2000,and 2005 as data source,land use/cover change(LUCC) information of Xuzhou City is obtained by decision-tree classification,urban thermal area distribution and thermal environment change are described by land surface temperature which is retrieved through mon-window arithmetic from thermal infrared bands,and then vegetation coverage change is quantitatively depicted by soil adjusted vegetation index(SAVI).Based on information on land cover,land surface temperature,and vegetation coverage,the relationships among vegetation coverage,urban expansion,and urban thermal environment change are comprehensively analyzed.Results show that using decision-tree algorithm is an effective method to obtain the data on land use and land cover.It is appropriate to use land surface radiance bright temperature for the analysis of urban heat environment change.The factors such as SAVI are significantly correlated with urban heat environment and can be used to quantitatively describe urban expansion and eco-environmental response.Research outcomes can be used for the protection of urban environment and the optimization of urban human settlement.