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.