Land surface temperature is playing a very important role in ground-atmosphere interaction. It is a key parameter in the global change studies. So it becomes one of important tasks in quantitative remote sensing research to make use of satellite remote sensing to retrieve land surface temperature at present. Land surface temperature is a crucial parameter of thermal energy distribution in region, the most efficient way to acquire it is through thermal infrared remote sensing images. On the basis of studies on the land surface temperature. With the support of remote sensing and GIS technology, using the single window algorithm to quantitative inversion of thermal infrared remote sensing image, obtain the spatial distribution of surface temperature change in the study area.
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