Thesis Abstract

Abstract
Coastal erosion and sediment transport dynamics are critical phenomena that impact coastal environments globally, leading to habitat loss, infrastructure damage, and changes in sedimentation patterns. Remote sensing techniques offer valuable tools for monitoring and assessing these dynamic processes efficiently and effectively. This thesis focuses on the assessment of coastal erosion and sediment transport dynamics using remote sensing techniques, aiming to provide a comprehensive understanding of these processes in coastal environments. The study begins with an introduction that outlines the background of the research, presents the problem statement, objectives, limitations, scope, significance, and structure of the thesis. A detailed literature review in Chapter Two covers ten key areas related to coastal erosion, sediment transport dynamics, remote sensing applications, and previous research studies in this field. Chapter Three presents the research methodology, including data collection methods, remote sensing techniques utilized, data processing procedures, and analytical approaches, with a detailed discussion on the selection of study sites and data sources. In Chapter Four, the findings of the study are extensively discussed, highlighting the trends and patterns of coastal erosion and sediment transport dynamics identified through remote sensing analysis. The chapter includes detailed discussions on the factors influencing coastal erosion, sediment transport processes, and the role of remote sensing in monitoring and quantifying these phenomena. Various case studies and examples are presented to illustrate the application of remote sensing techniques in assessing coastal erosion and sediment transport dynamics. The conclusion and summary in Chapter Five provide a comprehensive overview of the research findings, discussing the implications of the study results, highlighting key insights and recommendations for future research and coastal management practices. The study emphasizes the importance of remote sensing techniques in providing valuable data for monitoring and managing coastal erosion and sediment transport dynamics, contributing to the sustainable management of coastal environments. Overall, this thesis contributes to the existing body of knowledge on coastal erosion and sediment transport dynamics by demonstrating the effectiveness of remote sensing techniques in assessing these processes. The findings of the study have significant implications for coastal management strategies, highlighting the importance of utilizing remote sensing data for informed decision-making and proactive measures to mitigate the impacts of coastal erosion and sediment transport in vulnerable coastal areas.

Thesis Overview

Research Overview: The project titled "Assessment of Coastal Erosion and Sediment Transport Dynamics Using Remote Sensing Techniques" aims to investigate and analyze the coastal erosion processes and sediment transport dynamics in a specific coastal region using advanced remote sensing technologies. Coastal erosion is a critical environmental issue that threatens coastal communities, ecosystems, and infrastructure worldwide. Understanding the complex processes of erosion and sediment transport in coastal areas is essential for effective coastal management and adaptation to climate change impacts. In recent years, remote sensing techniques have emerged as valuable tools for monitoring and assessing coastal environments. Satellite imagery, aerial photography, LiDAR (Light Detection and Ranging), and other remote sensing technologies provide valuable data for studying coastal erosion and sediment transport processes at various spatial and temporal scales. By utilizing these remote sensing methods, this research aims to enhance our understanding of coastal dynamics and improve coastal management strategies. The research will begin with a comprehensive literature review to explore existing studies and methodologies related to coastal erosion, sediment transport, and remote sensing applications in coastal environments. This review will provide a solid foundation for the research methodology, guiding the selection of appropriate remote sensing techniques and data analysis methods for the study area. The methodology section will detail the data collection process, including the acquisition of satellite imagery, LiDAR data, and other relevant datasets. Image processing techniques, remote sensing algorithms, and GIS (Geographic Information System) tools will be employed to analyze the data and extract relevant information on coastal erosion and sediment dynamics. Field surveys and ground-truthing activities may also be conducted to validate the remote sensing results and enhance the accuracy of the findings. The findings of the study will be presented and discussed in detail in the results chapter. The analysis of remote sensing data will provide insights into coastal erosion rates, sediment transport patterns, shoreline changes, and other key parameters relevant to coastal dynamics. The discussion will focus on interpreting the findings, highlighting the implications for coastal management, adaptation strategies, and future research directions. Finally, the thesis will conclude with a summary of the key findings, implications of the research, and recommendations for future studies and coastal management practices. The project aims to contribute to the scientific understanding of coastal erosion and sediment transport dynamics using remote sensing techniques and provide valuable insights for sustainable coastal development and resilience to climate change impacts.