Application of Quantitative Indices for Urban Environment Analysis in the Consideration of Remote Sensed Imagery: Accessibility and Connectivity

In this study, uses of remote sensed imagery in urban environment analysis are represented with the actual processed results with newly implemented programs running under ESRI ArcView-GIS to extract secondary information about mainly urban transportation environment. Implemented programs are about Accessibility index and Connectivity index. Accessibility index and Connectivity index are composed of four types of different algorithms and three types of algorithms such as alpha, gamma, and shimmel index. As show applied examples, tried to find out how remotely sensed imageries can be effectively utilized at actual processing in the direct or indirect ways in these algorithms.