Integration of LiDAR and UAV data for accurate terrain modeling in surveying and geo-informatics

Thesis Abstract

Abstract
The integration of LiDAR (Light Detection and Ranging) and UAV (Unmanned Aerial Vehicle) data has emerged as a promising approach for achieving accurate terrain modeling in the field of surveying and geo-informatics. This thesis focuses on investigating the synergistic potential of combining LiDAR and UAV technologies to enhance the accuracy and efficiency of terrain modeling processes. The primary objective of this research is to explore the benefits, challenges, and practical applications of integrating LiDAR and UAV data for terrain modeling. The introduction chapter provides an overview of the study, highlighting the significance of accurate terrain modeling in various fields such as civil engineering, environmental monitoring, and urban planning. The background of the study delves into the evolution of LiDAR and UAV technologies, emphasizing their capabilities in capturing high-resolution and detailed terrain data. The problem statement identifies the existing limitations in traditional terrain modeling methods and underscores the need for more advanced and precise techniques. The objectives of the study are to investigate the technical aspects of LiDAR and UAV data integration, assess the accuracy of terrain models generated through this integration, and evaluate the efficiency of the process compared to conventional methods. The limitations of the study are outlined to provide a clear understanding of the constraints and challenges that may impact the research outcomes. The scope of the study defines the boundaries and focus areas of the research, including data acquisition, processing techniques, and validation methods. The significance of the study lies in its potential to advance the field of surveying and geo-informatics by introducing a novel approach to terrain modeling that leverages the complementary strengths of LiDAR and UAV technologies. The structure of the thesis outlines the organization of the chapters and sub-sections, guiding the reader through the research methodology, findings, and conclusions. The definition of terms clarifies key concepts and terminology used throughout the thesis, ensuring a common understanding of technical terms and jargon. The literature review chapter explores existing studies and research on LiDAR, UAV, and terrain modeling, highlighting the benefits and limitations of each technology. The research methodology chapter details the data collection procedures, processing workflows, and validation techniques employed in the study. The discussion of findings chapter presents the results of the data analysis, comparing the accuracy and efficiency of LiDAR-UAV integration with traditional methods. In conclusion, this thesis demonstrates the potential of integrating LiDAR and UAV data for accurate terrain modeling in surveying and geo-informatics. The findings suggest that the combined use of these technologies can significantly improve the quality and precision of terrain models, offering new opportunities for applications in various industries. This research contributes valuable insights to the field and sets a foundation for further exploration and development in the integration of LiDAR and UAV data for terrain modeling.