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 for high-resolution mapping in surveying and geo-informatics has revolutionized the way spatial data is collected and analyzed. This thesis explores the potential of UAVs equipped with LiDAR sensors in capturing detailed topographic information with enhanced accuracy and efficiency. The study focuses on the application of this integrated technology in various surveying and geo-informatics tasks, such as terrain modeling, land cover classification, and infrastructure monitoring. The introduction section provides a comprehensive overview of the background of the study, highlighting the increasing demand for high-resolution spatial data in various industries and the limitations of traditional surveying methods. The problem statement identifies the challenges faced in current mapping practices and the need for innovative solutions to improve data collection and analysis processes. The objectives of the study are outlined to investigate the capabilities of UAVs and LiDAR technology in enhancing mapping accuracy and efficiency, while the limitations and scope of the study are also discussed. The literature review chapter delves into existing research on UAVs, LiDAR technology, and their integration for high-resolution mapping applications. Various studies on the use of UAVs and LiDAR in surveying and geo-informatics are reviewed to provide a comprehensive understanding of the current state-of-the-art technologies and methodologies in the field. The research methodology chapter outlines the approach taken to conduct the study, including the selection of UAV platforms, LiDAR sensors, data processing techniques, and field survey procedures. The methodology also covers the data collection process, data processing workflows, and validation methods used to assess the accuracy of the generated maps and models. The discussion of findings chapter presents the results obtained from the integration of UAVs and LiDAR technology for high-resolution mapping tasks. Detailed analyses of the accuracy, efficiency, and applicability of the integrated technology in various surveying and geo-informatics applications are provided, along with case studies showcasing the practical implementation of UAV LiDAR mapping projects. In conclusion, this thesis highlights the significance of integrating UAVs and LiDAR technology for high-resolution mapping in surveying and geo-informatics. The study demonstrates the potential of this integrated approach in improving data quality, reducing surveying costs, and enhancing decision-making processes in various industries. Recommendations for future research and practical implications of the findings are also discussed. Overall, this thesis contributes to the advancement of surveying and geo-informatics by showcasing the capabilities of UAVs and LiDAR technology in achieving high-resolution mapping objectives. The integration of these technologies offers a promising solution for addressing the growing demand for accurate and efficient spatial data collection and analysis in diverse fields.