Thesis Abstract

Abstract
Coastal erosion is a critical environmental issue that poses significant threats to coastal communities, infrastructure, and ecosystems worldwide. In recent years, the integration of Remote Sensing and Geographic Information Systems (GIS) technologies has provided valuable tools for monitoring and analyzing coastal erosion processes. This thesis explores the application of Remote Sensing and GIS in monitoring coastal erosion, with a focus on its effectiveness in providing timely and accurate information for decision-making and management strategies. The study begins with an introduction that highlights the importance of addressing coastal erosion and the role of Remote Sensing and GIS in this context. The background of the study provides a comprehensive overview of coastal erosion processes, its causes, and impacts on coastal areas. The problem statement identifies the gaps in current coastal erosion monitoring techniques and emphasizes the need for more advanced and efficient methods. The objectives of the study are outlined to investigate the capabilities of Remote Sensing and GIS in monitoring coastal erosion, assess the accuracy of data acquired through these technologies, and propose recommendations for improving coastal erosion management practices. The limitations and scope of the study are also defined to establish the boundaries and constraints of the research. A detailed literature review in chapter two examines previous studies and research findings related to Remote Sensing, GIS applications, and coastal erosion monitoring. The review covers topics such as satellite imagery analysis, digital elevation models, shoreline change detection techniques, and the integration of field data with Remote Sensing outputs. Chapter three presents the research methodology, including the selection of study area, data collection methods, image processing techniques, and spatial analysis procedures. The chapter also discusses the validation of Remote Sensing and GIS data through ground truthing and field surveys to ensure the accuracy and reliability of the results. Chapter four delves into the discussion of findings, presenting the outcomes of the Remote Sensing and GIS analysis in monitoring coastal erosion. The results are analyzed in detail, highlighting the effectiveness of these technologies in detecting erosion hotspots, assessing shoreline changes, and identifying vulnerable coastal areas. The conclusion and summary in chapter five provide a comprehensive overview of the research findings, discussing the implications of the results for coastal erosion management, sustainable development, and future research directions. The thesis concludes by emphasizing the significance of integrating Remote Sensing and GIS technologies in coastal erosion monitoring and management to mitigate the impacts of erosion on coastal communities and ecosystems. In summary, this thesis exemplifies the potential of Remote Sensing and GIS as powerful tools for monitoring coastal erosion, providing valuable insights for policymakers, researchers, and stakeholders involved in coastal management and environmental conservation efforts.

Thesis Overview

The project titled "Application of Remote Sensing and GIS in Monitoring Coastal Erosion" focuses on utilizing advanced technologies such as Remote Sensing and Geographic Information Systems (GIS) to monitor and analyze coastal erosion processes. Coastal erosion is a critical environmental issue that poses significant threats to coastal communities, infrastructure, and ecosystems worldwide. By integrating Remote Sensing data, which involves capturing information about an object or phenomenon without being in direct physical contact with it, and GIS technology, which allows for the visualization, analysis, and interpretation of spatial data, this research aims to enhance our understanding of coastal erosion dynamics and improve monitoring strategies. The research overview delves into the importance of studying coastal erosion and the role that Remote Sensing and GIS can play in this field. Coastal erosion is a natural process influenced by various factors such as sea level rise, storm events, human activities, and climate change. Understanding the drivers and impacts of coastal erosion is crucial for effective coastal management and adaptation planning. Remote Sensing data, acquired through satellite imagery, aerial photography, and other sensors, provides valuable information on coastal landforms, changes in shoreline position, and erosion rates over time. GIS technology enables the integration of diverse datasets, spatial analysis, and modeling of coastal processes, facilitating informed decision-making and policy development. The research methodology involves the collection and analysis of Remote Sensing data, including satellite images and LiDAR (Light Detection and Ranging) data, to assess coastal erosion patterns and trends. GIS tools will be used to process and visualize the spatial information, allowing for the mapping of erosion-prone areas, identification of vulnerable coastal zones, and evaluation of erosion mitigation measures. Field surveys and ground-truthing activities will complement the Remote Sensing and GIS analysis, providing validation and ground-level insights into coastal erosion dynamics. The findings of the study will contribute to the existing knowledge of coastal erosion processes and provide valuable insights for coastal management authorities, urban planners, and environmental policymakers. By leveraging Remote Sensing and GIS technologies, this research aims to enhance the monitoring and prediction of coastal erosion events, support sustainable coastal development practices, and strengthen resilience against the impacts of climate change. The application of advanced geospatial tools in monitoring coastal erosion represents a significant step towards improving coastal management strategies and mitigating the adverse effects of erosion on coastal communities and ecosystems. In conclusion, the project "Application of Remote Sensing and GIS in Monitoring Coastal Erosion" underscores the importance of harnessing cutting-edge technologies for environmental monitoring and management. By leveraging the capabilities of Remote Sensing and GIS, this research seeks to advance our understanding of coastal erosion processes, enhance monitoring capabilities, and support evidence-based decision-making for sustainable coastal development. The integration of Remote Sensing and GIS in coastal erosion studies offers a holistic approach to addressing coastal challenges and fostering resilience in the face of a changing climate and evolving coastal landscapes.