Thesis Abstract

Abstract
Coastal erosion is a significant environmental issue that poses threats to coastal communities, habitats, and infrastructure worldwide. Accurate mapping and monitoring of coastal erosion are essential for effective coastal management and planning. This thesis explores the integration of Light Detection and Ranging (LiDAR) and Unmanned Aerial Vehicle (UAV) technologies to enhance the accuracy and efficiency of coastal erosion mapping and monitoring. The first part of this study provides an overview of the background of coastal erosion, highlighting its causes and impacts. The problem statement emphasizes the limitations of traditional mapping methods in accurately capturing coastal erosion dynamics. The objective of this study is to investigate the feasibility and effectiveness of integrating LiDAR and UAV technologies for coastal erosion mapping. The limitations and scope of the study are also outlined, along with the significance of the research in advancing coastal management practices. The literature review in Chapter Two examines existing studies on LiDAR and UAV technologies in coastal erosion mapping and monitoring. Key concepts such as LiDAR data processing, UAV image acquisition, and remote sensing applications in coastal environments are explored. The review identifies gaps in current research and provides a foundation for the methodology adopted in this study. Chapter Three details the research methodology, which includes data collection, processing, and analysis procedures. Specific contents cover LiDAR data acquisition using aerial and terrestrial platforms, UAV image capture, and the integration of LiDAR and UAV datasets. The chapter also discusses data processing techniques, including point cloud classification, Digital Elevation Model (DEM) generation, and image stitching. Chapter Four presents a comprehensive discussion of the findings obtained through the integration of LiDAR and UAV technologies. The results highlight the enhanced accuracy and resolution achieved in coastal erosion mapping compared to traditional methods. Detailed analysis of erosion patterns, volume calculations, and change detection are presented to demonstrate the effectiveness of the integrated approach. The conclusion in Chapter Five summarizes the key findings of the study and discusses their implications for coastal management practices. The thesis concludes with recommendations for future research and the practical application of LiDAR and UAV technology in coastal erosion monitoring. Overall, this research contributes to advancing the field of surveying and geo-informatics by proposing an innovative approach to address coastal erosion challenges through advanced remote sensing technologies. Keywords Coastal erosion, LiDAR, UAV, Mapping, Monitoring, Remote sensing, Surveying, Geo-informatics.

Thesis Overview