Integration of Unmanned Aerial Vehicles (UAVs) and Geographic Information System (GIS) for Improved Terrain Mapping and Monitoring.

Thesis Abstract

Abstract
The integration of Unmanned Aerial Vehicles (UAVs) and Geographic Information System (GIS) has emerged as a powerful tool for terrain mapping and monitoring applications. This thesis explores the potential of combining UAVs with GIS technology to enhance the accuracy, efficiency, and cost-effectiveness of terrain mapping and monitoring processes. The study focuses on the application of UAVs equipped with advanced sensors for capturing high-resolution aerial imagery and LiDAR data, which are then processed and analyzed using GIS software to generate detailed terrain maps and monitor changes over time. The research begins by providing an overview of UAV technology and GIS applications in surveying and environmental monitoring. It highlights the limitations of traditional surveying methods and the advantages offered by UAVs and GIS in terms of data acquisition, processing speed, and spatial analysis capabilities. The study addresses the need for improved terrain mapping and monitoring techniques to support various industries such as urban planning, agriculture, natural resource management, and disaster response. A comprehensive literature review is conducted to examine existing studies on UAV-GIS integration for terrain mapping and monitoring. The review covers key concepts, methodologies, and case studies that demonstrate the effectiveness of combining UAVs and GIS for capturing, processing, and analyzing terrain data. The literature review also discusses challenges and opportunities associated with this integrated approach, including data accuracy, regulatory issues, and technological advancements. The research methodology section outlines the steps involved in implementing the UAV-GIS integration for terrain mapping and monitoring. It describes the selection of UAV platforms, sensors, and GIS software tools, as well as the planning and execution of field surveys. Data processing techniques, such as photogrammetry and LiDAR point cloud analysis, are detailed to explain how terrain models and maps are generated using UAV-collected data. The findings from the study reveal the effectiveness of the UAV-GIS integration in improving terrain mapping and monitoring outcomes. High-resolution aerial imagery and LiDAR data captured by UAVs provide detailed spatial information that can be used to create accurate terrain models, identify land cover changes, and assess terrain stability. GIS analysis tools enable the visualization and interpretation of terrain data, facilitating informed decision-making for various applications. The discussion section critically evaluates the strengths and limitations of the UAV-GIS integration approach for terrain mapping and monitoring. It explores the implications of the research findings in terms of data accuracy, cost-effectiveness, scalability, and usability for different stakeholders. The discussion also highlights potential future research directions and technological advancements that could further enhance the capabilities of UAVs and GIS for terrain mapping and monitoring. In conclusion, the integration of UAVs and GIS offers significant advantages for improving terrain mapping and monitoring processes. This thesis demonstrates the potential of combining UAV technology with GIS software to enhance data collection, processing, analysis, and visualization for terrain mapping applications. The study contributes to the growing body of knowledge on UAV-GIS integration and provides valuable insights for researchers, practitioners, and decision-makers in the fields of surveying, geoinformatics, and environmental monitoring.