Analysis of Land Use and Land Cover Changes Using Remote Sensing and GIS Techniques

Thesis Abstract

**Abstract
** This thesis presents a comprehensive analysis of land use and land cover changes utilizing remote sensing and geographic information system (GIS) techniques. The study aims to investigate the dynamic changes in land use and land cover over a specified period and assess the impact of human activities and environmental factors on these changes. Remote sensing data, such as satellite imagery, will be utilized to monitor land use changes, while GIS tools will be employed for spatial analysis and mapping. The research begins with an introduction that provides background information on the significance of monitoring land use changes and the role of remote sensing and GIS in this process. The problem statement highlights the need to understand the drivers of land use changes and their implications for sustainable land management. The objectives of the study are to identify and analyze land use and land cover changes, assess the factors influencing these changes, and propose strategies for sustainable land use planning. The study acknowledges the limitations inherent in remote sensing and GIS data, such as resolution constraints and classification accuracy, which may impact the accuracy of the results. The scope of the study includes a specific study area where land use changes will be monitored and analyzed. The significance of the study lies in its contribution to understanding the dynamics of land use changes and providing valuable information for land use planning and management. The structure of the thesis is outlined, with Chapter 1 focusing on the introduction, background of the study, problem statement, objectives, limitations, scope, significance, and definition of terms. Chapter 2 presents a comprehensive literature review covering ten key areas related to land use changes, remote sensing, GIS technologies, and sustainable land management practices. Chapter 3 details the research methodology, including data collection methods, image processing techniques, classification algorithms, and spatial analysis approaches. The chapter also describes the study area, data sources, and tools used for data analysis. Chapter 4 presents the findings of the study, with detailed analysis and interpretation of land use and land cover changes observed in the study area. The conclusion and summary in Chapter 5 provide a synthesis of the key findings, implications for land management, and recommendations for future research. The abstract concludes by emphasizing the importance of using remote sensing and GIS techniques for monitoring land use changes and highlights the potential benefits of this study for sustainable land management practices.