Integration of Unmanned Aerial Vehicles (UAVs) and LiDAR Technology 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 the field of surveying and geo-informatics by enabling high-resolution mapping with increased efficiency and accuracy. This thesis explores the potential of combining UAVs and LiDAR for mapping applications, focusing on their synergistic capabilities in capturing detailed topographic data and generating precise geospatial information. The research investigates the technical aspects, data processing methods, and practical implications of utilizing UAVs equipped with LiDAR sensors for mapping tasks. The introductory chapter provides a comprehensive overview of the study, outlining the background, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms related to UAVs, LiDAR, surveying, and geo-informatics. This sets the stage for understanding the rationale and context of the research. The literature review chapter critically examines existing studies and research findings related to UAVs, LiDAR technology, and their integration in surveying and geo-informatics. It discusses ten key themes, including the principles of UAVs and LiDAR, applications in mapping and surveying, data processing techniques, and challenges faced in implementing these technologies. The research methodology chapter details the methods and procedures employed in this study, covering aspects such as data collection, UAV and LiDAR system setup, flight planning, data acquisition protocols, data processing workflows, and accuracy assessment techniques. Eight sections provide a comprehensive guide to the research design and implementation. Chapter four presents a detailed discussion of the findings derived from the integration of UAVs and LiDAR technology for high-resolution mapping. It delves into the analysis of topographic data, accuracy assessments, comparisons with traditional surveying methods, and the potential benefits and limitations of the integrated approach. The concluding chapter synthesizes the research outcomes and offers a summary of the key findings, implications, and recommendations for future research and practical applications. It highlights the significance of leveraging UAVs and LiDAR technology for high-resolution mapping in surveying and geo-informatics, emphasizing the potential to enhance mapping efficiency, accuracy, and spatial data quality. In conclusion, this thesis contributes to advancing the understanding and implementation of UAVs and LiDAR technology integration in surveying and geo-informatics, showcasing the transformative potential of these tools for generating high-resolution mapping data. The research findings underscore the importance of adopting innovative technologies to address contemporary mapping challenges and improve the quality and efficiency of geospatial data collection and analysis.