Pervious surfaces are expected to contribute to the air temperature dropping against a heat island phenomenon through their evapotranspiration and radiational cooling in an urban area. The air temperature dropping depends on the spatial distributions of the pervious surfaces: the air temperatures grow colder around denser and more continuous pervious surface distributions. In this study, we applied a spatial analysis method to impervious surface distributions for extraction of the spatial continuity of pervious surface distributions on a regional scale. We estimated the impervious surface distribution using remotely sensed data through the spectral mixture analysis in order to analyze the heat island phenomenon. The calculation results were applied to spatial autocorrelation analysis so as to extract the spatial continuity. We verified the results through the examination of land cover around the extracted areas. In addition, the relationship between the extracted results and the meteorological observation data was discussed.
