Extracting land cover/use from remotely sensed imagery: Potentials for urban planning (original) (raw)

The study investigates the effectiveness of two image classification software, ENVI and Definiens, in extracting detailed subzonal land cover/use information from various types of satellite imagery for urban planning purposes. Acknowledging the gap between technological advancements in remote sensing and its practical applications in urban planning, the research evaluates the accuracy of extracted land use data against secondary GIS data. The findings aim to enhance urban planning processes by providing timely and detailed land use information, addressing the challenges of traditional ground surveys.