Abstract
The distribution condition of land cover is the key information for planning the city environment. However, the current data for city planning does not include the vegetation distribution that is improtant component for urban environment. This paper, therefore, seeks to develop precise methods of mapping the vegetation of urban areas by the integration of Remote Sensing data and the GIS data. For processing the Remote Sensing data, the authors propose a new approach in the estimation of vegetation cover ratio in a pixel and of vegetation location in a MIXEL. The results of the analyses verified that the techniques proposed in this study enable us to create more precise classification of vegetation distribution that is to be utilized to support "City Environment Planning" proposed by authors.
