Urban pattern extraction within high and medium vegetated terrain through satellite image processing using the index-based built-up index and LANDSAT OLI/TIRS imageries

Abstract

Remote Sensing is the growing division in science, art, social science, and technology that will be the base of every development in our surroundings in the coming days. One of the complex and most challenging remote sensing applications is identifying, monitoring, extracting, and mapping the urban pattern and morphology. But there are several methods and techniques to do so. In this research, one of the feature extraction models is discussed to evaluate the urban pattern of two distinct Indian districts having different vegetation surrounding the urban. Both the study areas have a typical religious value but differ in geography and urban evolution. Spectral index or ratio is the model taken here to extract the urban pattern of these two areas.