Thesis Abstract

Abstract
This thesis investigates the analysis of land use and land cover change in a specific region utilizing remote sensing and Geographic Information System (GIS) techniques. The study focuses on understanding the dynamics of land use changes over a specific period, aiming to provide insights into the factors driving these changes and their implications for the environment and society. The research methodology involved the collection and analysis of satellite imagery data from different time periods to assess changes in land use and land cover. Various GIS tools and techniques were employed to process and analyze the data, including classification algorithms, change detection methods, and spatial modeling. The findings of the study reveal significant changes in land use and land cover patterns in the study area over the specified period. These changes are attributed to various factors, including urbanization, agricultural expansion, deforestation, and natural disasters. The impact of these changes on the environment, biodiversity, and local communities is discussed in detail. The study highlights the importance of remote sensing and GIS technologies in monitoring and analyzing land use changes, providing valuable information for sustainable land management and policy development. The results of this research contribute to a better understanding of the dynamics of land use changes and their implications for the region, serving as a valuable resource for future planning and decision-making processes. Overall, this thesis underscores the significance of utilizing remote sensing and GIS techniques for studying land use and land cover changes, emphasizing the need for proactive measures to address the challenges posed by these changes. The insights gained from this study can inform land management strategies, conservation efforts, and sustainable development practices in the specific region and beyond.

Thesis Overview

The research project titled "Analysis of Land Use and Land Cover Change Using Remote Sensing and GIS Techniques in a Specific Region" aims to investigate the dynamics of land use and land cover changes in a particular geographic area by employing advanced remote sensing and Geographic Information System (GIS) technologies. The study will focus on understanding the patterns, trends, and drivers of land use and land cover changes over a specified period, aiming to provide valuable insights into the impact of human activities and natural processes on the environment. The utilization of remote sensing data such as satellite imagery will enable the collection of spatial information at different time intervals, allowing for the detection and analysis of changes in land use and land cover types. GIS will play a crucial role in processing and analyzing the collected data, facilitating the visualization and interpretation of spatial patterns and relationships. By integrating these technologies, the research will offer a comprehensive assessment of the changes occurring in the study area, contributing to a better understanding of the factors influencing land use dynamics. The specific objectives of the study include identifying and mapping different land cover classes, quantifying changes in land use types over time, analyzing the drivers of land use change, and predicting future trends based on current patterns. The research will also explore the implications of these changes on environmental sustainability, ecosystem services, and land management practices. By conducting a detailed analysis of land use and land cover change dynamics, the study aims to provide valuable information for decision-makers, planners, and stakeholders involved in sustainable land use planning and resource management. Overall, the research project seeks to enhance our knowledge of land use and land cover dynamics in the specific region under investigation, shedding light on the interactions between human activities and the environment. Through the application of remote sensing and GIS techniques, the study aims to offer valuable insights into the spatial and temporal patterns of land use changes, contributing to the development of effective strategies for land use planning, conservation, and sustainable development in the area.