Thesis Abstract

Abstract
The integration of Unmanned Aerial Vehicles (UAVs) and Light Detection and Ranging (LiDAR) technology has revolutionized high-resolution mapping in the fields of Surveying and Geo-informatics. This thesis explores the potential of combining UAVs and LiDAR technology to enhance mapping capabilities, particularly focusing on achieving high-resolution and accurate spatial data. The research methodology employed included a comprehensive literature review, data collection through UAV flights equipped with LiDAR sensors, data processing using advanced software, and analysis of the results. The literature review in Chapter Two provides a detailed overview of existing studies and technologies related to UAVs, LiDAR, and their applications in surveying and geo-informatics. It covers topics such as the principles of LiDAR technology, UAV platforms, data processing techniques, and the advantages of integrating UAVs and LiDAR for mapping purposes. Chapter Three outlines the research methodology employed in this study, including the selection of UAV equipment and LiDAR sensors, flight planning, data collection procedures, data processing steps, and validation methods. It also discusses the challenges faced during data collection and processing and the strategies adopted to mitigate these challenges. Chapter Four presents the findings of the study, showcasing the high-resolution mapping results achieved through the integration of UAVs and LiDAR technology. The analysis includes comparisons with traditional mapping methods, highlighting the enhanced accuracy, efficiency, and detail provided by the combined use of UAVs and LiDAR. The discussion also addresses the potential applications of this technology in various fields such as environmental monitoring, urban planning, agriculture, and infrastructure development. The conclusion in Chapter Five summarizes the key findings of the study and emphasizes the significance of integrating UAVs and LiDAR technology for high-resolution mapping in surveying and geo-informatics. It also discusses the limitations of the study and suggests areas for future research to further improve mapping capabilities using this technology. In conclusion, this thesis contributes to the advancement of high-resolution mapping techniques by demonstrating the effectiveness of integrating UAVs and LiDAR technology. The results highlight the potential for this technology to revolutionize mapping practices in various industries, leading to more accurate, detailed, and efficient spatial data collection and analysis.

Thesis Overview