Integration of Unmanned Aerial Vehicles (UAVs) and LiDAR for High-Resolution Mapping in Surveying and Geo-informatics

Thesis Abstract

Abstract
The integration of Unmanned Aerial Vehicles (UAVs) and Light Detection and Ranging (LiDAR) technology has revolutionized high-resolution mapping in the field of Surveying and Geo-informatics. This thesis explores the potential and benefits of utilizing UAVs equipped with LiDAR sensors for accurate and efficient mapping applications. The research investigates the synergy between UAVs and LiDAR technology, aiming to enhance the quality and precision of mapping outputs while reducing costs and time requirements associated with traditional surveying methods. Chapter One provides an introduction to the research topic, presenting the background of the study, the problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms related to UAVs, LiDAR, and high-resolution mapping. Chapter Two comprises a comprehensive literature review that examines existing studies, methodologies, and technologies related to UAVs, LiDAR, and their integration for high-resolution mapping. The review covers topics such as the principles of LiDAR technology, UAV platforms, data processing techniques, and the advantages of combining UAVs and LiDAR for mapping applications. Chapter Three outlines the research methodology employed in this study, including details on the selection of UAV platforms and LiDAR sensors, data acquisition procedures, flight planning and execution, data processing workflows, and quality assessment measures. The chapter also discusses the challenges encountered during the research and the strategies adopted to address them. Chapter Four presents a detailed discussion of the findings obtained through the integration of UAVs and LiDAR for high-resolution mapping. The chapter highlights the accuracy, resolution, and efficiency achieved by the combined technology, showcasing the potential for diverse applications such as topographic mapping, land cover classification, infrastructure monitoring, and environmental assessment. Chapter Five concludes the thesis by summarizing the key findings, discussing the implications of the research, and suggesting future directions for further exploration in the field of UAV-LiDAR integration for high-resolution mapping. The conclusion emphasizes the significance of this technology fusion in advancing surveying and geo-informatics practices, offering new opportunities for enhanced spatial data collection and analysis. In conclusion, the integration of UAVs and LiDAR for high-resolution mapping represents a cutting-edge approach that holds immense potential for transforming surveying and geo-informatics applications. This thesis contributes valuable insights into the synergistic benefits of combining UAVs and LiDAR technology, paving the way for more efficient, accurate, and cost-effective mapping solutions in various domains.