Urban thermal environment simulation and prediction based on remote sensing and GIS

In this paper, ASTER images are processed from two aspects: the thermal infrared data are used to estimate land surface temperature (LST), and the multi-spectral data are used for gaining land cover information. The relationship between LST and corresponding land cover is obtained. GIS is also used to simulate the evolution of thermal environment and predict its trends under the specific land cover scenarios. The results demonstrate that the simulation result is credible and it is helpful to analyze land use planning schemes from specific aspects or urban thermal environment view, so land use planning could be improved by optimizing thermal environment and avoiding the negative impacts resulted from urban heat island.