Project Abstract

Abstract
Urbanization is a global phenomenon that has significant implications for land use planning, environmental sustainability, and socio-economic development. The rapid expansion of urban areas has led to challenges such as land degradation, loss of biodiversity, and increased pressure on infrastructure and resources. Remote sensing and Geographic Information System (GIS) technologies offer valuable tools for analyzing urban growth patterns and understanding the dynamics of urbanization processes. This research project aims to analyze urban growth patterns using remote sensing and GIS techniques in a selected urban area. The study will focus on identifying and mapping changes in land cover and land use over time, assessing the spatial distribution of urban growth, and investigating the drivers of urban expansion. The objectives of the study are to 1. Utilize remote sensing data to detect changes in land cover and land use patterns. 2. Analyze the spatial distribution of urban growth within the study area. 3. Identify the key drivers of urban expansion, such as population growth, economic activities, and infrastructure development. 4. Assess the impact of urban growth on the environment, including changes in vegetation cover, water bodies, and built-up areas. 5. Develop predictive models to forecast future urban growth trends based on historical data and current patterns. The research methodology will involve the collection and analysis of satellite imagery, aerial photographs, and GIS data to create land cover maps and urban growth models. Spatial analysis techniques such as image classification, change detection, and hotspot analysis will be used to identify patterns and trends in urban growth. Statistical analyses and regression models will be employed to correlate urban expansion with socio-economic variables and environmental factors. The findings of the study are expected to provide valuable insights into the dynamics of urban growth and inform land use planning and policy decisions. The results will contribute to a better understanding of the factors driving urbanization and help to mitigate the negative impacts of unplanned urban expansion. The research will also highlight the potential of remote sensing and GIS technologies for monitoring and managing urban growth in a sustainable manner. In conclusion, the analysis of urban growth patterns using remote sensing and GIS techniques is essential for sustainable urban development and environmental management. By leveraging the power of geospatial technologies, this research aims to facilitate evidence-based decision-making and promote smart growth strategies in urban areas.

Project Overview