Abstract: Land use change is significant in influencing urban climate and the research plays an important role for optimizing urban function zoning and sustainable development. Past studies focused on the relationships between land use and land surface temperature have commonly assumed stationarity. This paper estimates the LST based on the mono-window algorithm,empirical analysis and meteorological data verify the validity of this model. Spatial analysis of geographical information system was done on the spatial stationarity of the relationships between a set of land use types and the land surface temperature in Changchun City, China. The results showed there were changes in spatial patterns of urban thermal environment and it was consistent with the direction of urban expansion. Furthermore, there were clear differences in the land surface temperature of different types of land use and the mean LST was lower in green land, cropland and water body and higher in industrial land, residential land, commercial land, public facilities, public building, etc. Moreover, combination of the commercial land, industrial land, public facilities and public building had bigger influence on the LST. The results would be of value to simulate spatial distribution of urban heat field and land use and even put forward countermeasures to urban planning.