Abstract
In recent years, revitalization of urban central zone and proceeding of compactness of cities are urgently required in local cities. On this process, aiming at improvement in a living environment is necessary with redevelopment of urban central zone. Therefore, mitigation of urban heat environment is one of the most significant issues. Therefore, in this study, urban heat environment structure at the central part of Toyota city was studied. Firstly, fine land cover information was classified by utilizing the data obtained from the higher-resolution satellite image (IKONOS). Secondary, the relationship between land cover and brightness temperature obtained from LANDSAT ETM+ was verified by regression analysis. Finally, in order to mitigate the heat environment, simulation by the regression model was accomplished by greenplanting based on the greenery planning of Toyota city. In conclusion, the effectiveness of fine land cover information to the analysis of urban heat environment was shown in this study.
