Thesis Abstract

Abstract
This thesis explores the integration of Light Detection and Ranging (LiDAR) and Unmanned Aerial Vehicle (UAV) data for accurate mapping and monitoring of urban areas. The rapid urbanization and development in modern cities have created a need for precise and up-to-date spatial information to support urban planning, infrastructure development, and disaster management. LiDAR and UAV technologies offer valuable tools for collecting high-resolution spatial data efficiently and cost-effectively. This research investigates the combined use of LiDAR and UAV data to enhance the accuracy and effectiveness of mapping and monitoring urban areas. The introduction provides an overview of the research problem, highlighting the limitations of traditional mapping methods and the potential benefits of integrating LiDAR and UAV data. The background of the study explores the evolution of LiDAR and UAV technologies and their applications in surveying and geoinformatics. The problem statement emphasizes the need for more accurate and timely spatial data in urban planning and management. The objectives of the study are to assess the feasibility of integrating LiDAR and UAV data, to develop a methodology for data fusion, and to evaluate the accuracy and efficiency of the integrated approach. The literature review examines existing studies on LiDAR and UAV data integration, urban mapping, and monitoring techniques. Key themes include data acquisition, processing, and analysis methods, as well as the potential applications of integrated LiDAR and UAV data in urban environments. The research methodology outlines the data collection process, sensor calibration, data fusion techniques, and accuracy assessment methods. Field experiments are conducted in urban areas to collect LiDAR and UAV data for testing and validation. The discussion of findings presents the results of the data integration process, highlighting the benefits and challenges of combining LiDAR and UAV data for urban mapping and monitoring. The analysis evaluates the accuracy, resolution, and efficiency of the integrated approach compared to traditional methods. The conclusion summarizes the research findings, discusses the implications for urban planning and management, and suggests areas for future research. The significance of the study lies in its potential to improve the accuracy and timeliness of spatial data in urban areas, leading to better decision-making and resource allocation. In conclusion, the integration of LiDAR and UAV data offers a promising approach for accurate mapping and monitoring of urban areas. By combining the strengths of both technologies, this research contributes to the advancement of surveying and geoinformatics practices in urban environments. The findings of this study have practical implications for urban planners, government agencies, and disaster management authorities seeking to enhance their spatial data capabilities for sustainable urban development.

Thesis Overview