A Comparative Analysis of Urbanization Patterns in Major Indian Metropolises Using Remote Sensing and GIS
Year: 2025
Type: article
Abstract: This research paper presents a comparative analysis of urbanization patterns in major Indian metropolises utilizing Remote Sensing (RS) and Geographic Information Systems (GIS). The study addresses a significant literature gap by offering a comprehensive, multi-city perspective on urban growth dynamics. Our research objectives encompassed the examination of urbanization rates, land use changes, infrastructure development, and population density shifts across four key cities: Mumbai, Delhi, Bangalore, and Kolkata. Data was sourced from Landsat and Sentinel-2 satellite imagery, with GIS serving as the primary data analysis tool. Results indicate rapid urbanization, with annual growth rates ranging from 2.8% to 4.2%. There was a substantial increase in residential and commercial areas, reflecting population and economic concentration in urban centres. However, green space coverage decreased across all cities, highlighting environmental concerns. Infrastructure development efforts were observed, including the expansion of transportation networks and the establishment of public transport stations. Increased population density was also noted, necessitating efficient land use and infrastructure planning. Commercial area growth indicated economic expansion but called for careful management. These findings hold significant implications for urban policymakers, planners, and researchers, emphasizing the need for balanced urban development that prioritizes sustainability, efficient infrastructure, and resident well-being. The research contributes valuable insights to guide the future growth and development of Indian metropolises and serves as a reference for urban challenges in developing cities globally.
Author: Chand, Jagdish
Institution: Government of Himachal Pradesh
Language: English
Topic: Remote Sensing and Land Use
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7133238950
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