Abstract: Land surface temperature (LST) was retrieved from MODIS data by using split-window algorithm of Zhejiang Province in 2008. With the support of remote sensing and geographical information system (GIS),the temporal and spatial character of LST was analyzed. The relationship between LST and land use/cover types was quantitatively investigated as well as the relationship between LST and normalized difference vegetation index (NDVI). The results showed that ①spatial heterogeneity of LST was determined by the altitude and land use/cover types; ②there were distinct differences among different land use/cover types while the trend of the month change was similar. The annual average LST of different land use/cover types present:LSTbuilt>LSTcrop> LSTforest>LSTwater; ③The results of regressive analysis showed an inverse correlation relationship between LST and NDVI within all land use/cover types except water. The study on the distribution and seasonal fluctuation of LST was of important value in providing new way of dynamic monitor the disaster,such as high temperature shock and low temperature frozen. It was also important for the disaster prevention and reduction as well as for the land planning of the local government.

Key words: Land surface temperature, Land surface temperature, Land use, NDVI, MODIS, GIS