Analysis of urban area extracted from NDBI and classification approach by using satellite data

Abstract

The rapid rise of global urbanization produces several issues, including urban planning, uncontrolled development, and disaster assessment. As a result, policymakers and disaster management authorities require a dependable system for promptly and efficiently assessing the implications of urbanization. The Normalised Difference Built-up Index (NDBI) and classification have been extensively used as a technique to map and monitor land occupation primarily in urban cities. In this study, we have performed the urban mapping of an area nearby Roorkee, a tehsil of Uttarakhand state, India by using NDBI and the classification approach. The focus of this study is to evaluate the performance of both approaches to ensure accurate and precise urban mapping that can help disaster task forces to implement effective strategies during rescue operations. It has been observed that the classification approach has estimated an area of 4.0171 sq. km which is approximately close to the actual area.