Application of Remote Sensing and GIS in Monitoring Coastal Erosion

Thesis Abstract

Abstract
Coastal erosion is a pressing global issue that poses significant threats to coastal communities, infrastructure, and ecosystems. The integration of Remote Sensing and Geographic Information Systems (GIS) technologies offers a promising approach to monitoring and managing coastal erosion effectively. This thesis investigates the application of Remote Sensing and GIS in monitoring coastal erosion to provide valuable insights into the dynamics of coastal change and inform sustainable coastal management practices. The introductory chapter sets the stage by outlining the background of the study, identifying the problem statement, stating the objectives, discussing the limitations and scope of the study, highlighting the significance of the research, and providing an overview of the thesis structure. Chapter two presents a comprehensive literature review that synthesizes existing knowledge on coastal erosion, Remote Sensing, GIS applications, and relevant methodologies. This chapter aims to establish a solid theoretical foundation for the study. Chapter three details the research methodology employed in this study, including data collection techniques, Remote Sensing image processing procedures, GIS analysis methods, and the development of coastal erosion monitoring models. The methodology chapter also discusses the selection of study areas, data sources, and validation techniques to ensure the reliability and accuracy of the findings. In chapter four, the findings of the study are extensively discussed, focusing on the application of Remote Sensing and GIS in monitoring coastal erosion dynamics. The results of the analysis are presented through spatial maps, temporal trends, and statistical assessments to elucidate the patterns of coastal erosion and identify vulnerable areas. Furthermore, the chapter examines the effectiveness of Remote Sensing and GIS technologies in providing timely and reliable information for coastal erosion monitoring and management. The concluding chapter summarizes the key findings of the study, discusses the implications for coastal management practices, and offers recommendations for future research and practical applications. The thesis contributes to the growing body of knowledge on the use of Remote Sensing and GIS in coastal erosion monitoring, emphasizing the importance of integrating these technologies into sustainable coastal management strategies. In conclusion, the Application of Remote Sensing and GIS in Monitoring Coastal Erosion offers a valuable framework for understanding and mitigating the impacts of coastal erosion on vulnerable coastal areas. By harnessing the power of Remote Sensing and GIS technologies, this study provides a robust foundation for informed decision-making and proactive measures to safeguard coastal environments and communities from the threats of erosion.