Thesis Abstract

Abstract
This thesis explores the integration of Light Detection and Ranging (LiDAR) and Unmanned Aerial Vehicle (UAV) technologies to enhance precision in 3D mapping and monitoring of urban landscapes. The rapid urbanization and development in cities have increased the demand for accurate and up-to-date spatial data for various applications, including urban planning, disaster management, environmental monitoring, and infrastructure development. Traditional methods of data collection and mapping are often time-consuming, costly, and limited in their ability to capture detailed information over large areas. Hence, there is a growing need for innovative approaches that can overcome these limitations and provide high-resolution spatial data efficiently. The integration of LiDAR and UAV technologies offers a promising solution to address these challenges. LiDAR technology utilizes laser pulses to measure distances and create detailed 3D models of the terrain and objects on the ground, while UAVs provide a flexible platform for capturing aerial images and data over a wide range of spatial scales. By combining these technologies, it is possible to achieve highly accurate and detailed 3D maps of urban landscapes in a cost-effective and efficient manner. The research objectives of this study include investigating the technical capabilities and limitations of LiDAR and UAV technologies, developing a methodology for integrating these technologies for 3D mapping and monitoring, and evaluating the accuracy and precision of the integrated approach compared to traditional methods. The study will also assess the feasibility and practicality of implementing this integrated approach in real-world urban environments. The methodology involves a comprehensive review of existing literature on LiDAR, UAV, and their applications in urban mapping and monitoring. A field experiment will be conducted to collect LiDAR and UAV data over a selected urban area, followed by data processing and analysis to generate 3D maps and assess the accuracy of the integrated approach. The results will be compared with ground truth data and existing maps to evaluate the precision and reliability of the integrated technology. The findings of this research are expected to demonstrate the potential benefits of integrating LiDAR and UAV technologies for improving the precision of 3D mapping and monitoring of urban landscapes. The study will contribute to the advancement of remote sensing technology and provide valuable insights for urban planners, policymakers, and researchers working in the field of geospatial science and technology. In conclusion, the integration of LiDAR and UAV technology offers a promising approach to enhance the accuracy and efficiency of 3D mapping and monitoring in urban environments. By leveraging the capabilities of these technologies, it is possible to obtain detailed spatial data that can support decision-making processes and facilitate sustainable urban development. The findings of this study have implications for various applications, including urban planning, environmental management, infrastructure development, and disaster response, highlighting the significance of adopting innovative solutions for addressing complex spatial challenges in modern cities.

Thesis Overview