Thesis Abstract

Abstract
This thesis presents a comprehensive investigation into the assessment of land use and land cover change utilizing remote sensing and Geographic Information System (GIS) techniques. The study focuses on the application of advanced technologies to monitor and analyze spatial and temporal changes in land use patterns and land cover types. The research methodology involves the integration of satellite imagery, GIS software, and field surveys to assess the dynamics of land use and land cover change over a specified period. The study area selected for this research is [mention specific location or region]. The introductory chapter provides an overview of the research, presenting the background, problem statement, objectives, limitations, scope, significance, and structure of the thesis. The literature review chapter critically examines existing studies and theories related to land use and land cover change, remote sensing, GIS applications, and methodologies for change detection. The research methodology chapter outlines the specific methods and techniques employed in data collection, processing, analysis, and interpretation. It includes details on satellite image acquisition, preprocessing steps, classification algorithms, accuracy assessment procedures, and field validation techniques. Furthermore, the chapter describes the sampling design, data sources, and tools utilized for the study. The findings chapter presents a detailed analysis of the land use and land cover change patterns identified through remote sensing and GIS analyses. The results highlight the extent, magnitude, and spatial distribution of changes in the study area over the specified timeframe. The discussion section interprets the implications of the findings, identifies driving forces behind the observed changes, and discusses the potential impacts on the environment and society. In conclusion, the study emphasizes the importance of remote sensing and GIS technologies in monitoring and managing land use and land cover changes. The research findings contribute to a better understanding of landscape dynamics and provide valuable insights for sustainable land management practices. Recommendations for future research and policy implications are also discussed. Overall, this thesis contributes to the growing body of knowledge in the field of surveying and geo-informatics, offering a comprehensive analysis of land use and land cover change dynamics using advanced techniques.

Thesis Overview