Identification of Urban Characteristic Using Ikonos High Resolution Satellite Image

Land use patterns are fragile and sophisticated in Taiwan. In order to rapidly derive detail information of land use/land cover, it is necessary to employ remote sensing techniques because of its broad area coverage and fast data acquirement. The purposes of this research are to use high-resolution satellite images, such as IKONOS, to obtain urban land use information, and to apply fuzzy algorithms technique for assessing the accuracy of classification. During the course of this research, we develop a semi -auto urban land use classification model using the high-resolution satellite images. Due to the lack of detailed Digital Terrain Model (DTM) database for image registration and rectification, the ground control points are derived from field GPS measurements and one to one thousand GIS map of experimental sites. This research demonstrates that the high spatial resolution images can offer more detail urban land characteristics than the traditional low spatial resolution satellite images.