Thesis Abstract

Abstract
The integration of LiDAR (Light Detection and Ranging) and UAV (Unmanned Aerial Vehicle) data for urban mapping and analysis presents a cutting-edge approach to enhance the accuracy and efficiency of geographic information systems (GIS) in urban environments. This thesis explores the synergistic use of LiDAR technology and UAV imagery to generate high-resolution, three-dimensional maps for urban mapping and analysis. The study aims to address the limitations of traditional mapping techniques by leveraging the capabilities of LiDAR and UAV technologies to provide precise and detailed spatial information for urban planning and management. The research begins with a comprehensive introduction that sets the context for the study, highlighting the increasing demand for accurate urban mapping solutions and the potential benefits of integrating LiDAR and UAV data. The background of the study outlines the development of LiDAR and UAV technologies, emphasizing their significance in modern surveying and geoinformatics applications. The problem statement identifies the existing challenges in urban mapping and underscores the need for innovative solutions to improve mapping accuracy and efficiency. The objectives of the study are delineated to guide the research process, focusing on the integration of LiDAR and UAV data for urban mapping, the evaluation of data quality and accuracy, and the development of advanced analytical tools for urban analysis. The limitations of the study are also acknowledged, including constraints related to data acquisition, processing complexity, and potential inaccuracies in the final mapping outputs. The scope of the study is defined to clarify the geographical extent and thematic coverage of the research, emphasizing the application of LiDAR and UAV data in urban areas for mapping land use, infrastructure, and environmental features. The significance of the study is underscored by its potential to revolutionize urban mapping practices, leading to more informed decision-making processes and sustainable urban development. The structure of the thesis is outlined to provide a roadmap for the reader, highlighting the organization of chapters and the logical flow of the research. Definitions of key terms are provided to ensure clarity and understanding of technical concepts used throughout the thesis. The literature review delves into existing studies and technologies related to LiDAR, UAV, and urban mapping, exploring the advancements and challenges in the field. The research methodology section details the data collection methods, data processing techniques, and analytical procedures employed in the study, including the integration of LiDAR and UAV datasets and the validation of mapping results. The discussion of findings chapter presents a detailed analysis of the mapping outputs generated from the integrated LiDAR and UAV data, highlighting the accuracy, resolution, and applicability of the results for urban planning and analysis. The conclusion summarizes the key findings of the study, discusses the implications of the research, and suggests avenues for future research in the field of LiDAR and UAV-based urban mapping. In conclusion, the integration of LiDAR and UAV data for urban mapping and analysis offers a transformative approach to enhance spatial data collection and analysis in urban environments. This thesis contributes to the advancement of geospatial technologies and provides valuable insights for researchers, practitioners, and policymakers involved in urban planning and management.

Thesis Overview

The project titled "Integration of LiDAR and UAV data for urban mapping and analysis" focuses on the utilization of innovative technologies to enhance urban mapping and analysis processes. LiDAR (Light Detection and Ranging) and UAVs (Unmanned Aerial Vehicles) have emerged as powerful tools in the field of surveying and geo-informatics, offering high-resolution data collection capabilities and the ability to capture detailed spatial information efficiently. This research aims to explore the integration of LiDAR and UAV data to improve urban mapping accuracy, efficiency, and the overall quality of analysis in urban environments. The integration of LiDAR and UAV data presents a promising approach to address the challenges faced in traditional urban mapping methods. By combining the strengths of LiDAR technology, which provides precise elevation and feature data, with the flexibility and accessibility of UAVs for data acquisition, this project seeks to enhance the mapping process in urban areas. The synergy between LiDAR and UAV data offers the potential to generate comprehensive and detailed 3D models of urban landscapes, enabling better visualization, analysis, and decision-making in urban planning and development. Key components of the research will include the acquisition of LiDAR and UAV data in urban settings, the integration of these datasets using advanced software and algorithms, and the analysis of the combined data for urban mapping purposes. The project will also explore the potential applications of integrated LiDAR and UAV data in various urban planning activities, such as land use classification, infrastructure development, environmental monitoring, and disaster management. By leveraging the capabilities of LiDAR and UAV technologies, this research aims to contribute to the advancement of urban mapping and analysis practices, providing valuable insights for urban planners, policymakers, and other stakeholders involved in urban development projects. The outcomes of this study are expected to enhance the efficiency and accuracy of urban mapping processes, leading to more informed decision-making and sustainable urban development practices. Overall, the project on the "Integration of LiDAR and UAV data for urban mapping and analysis" represents a significant step towards harnessing the potential of advanced technologies to address the challenges of urban planning and development. Through the integration of LiDAR and UAV data, this research seeks to provide new perspectives and tools for improving urban mapping accuracy, efficiency, and effectiveness, ultimately contributing to the creation of smarter and more sustainable urban environments.