Integration of LiDAR and UAV technology for accurate mapping and monitoring of landslide-prone areas

Thesis Abstract

Abstract
This thesis explores the integration of Light Detection and Ranging (LiDAR) and Unmanned Aerial Vehicle (UAV) technologies for accurate mapping and monitoring of landslide-prone areas. Landslides are natural hazards that pose significant risks to human lives, infrastructure, and the environment. Traditional methods of mapping and monitoring landslides have limitations in terms of accuracy, efficiency, and coverage. LiDAR and UAV technologies offer promising solutions to overcome these limitations by providing high-resolution data in a cost-effective and timely manner. The research begins with a comprehensive review of existing literature on LiDAR, UAV technology, and their applications in geospatial mapping and landslide monitoring. The literature review highlights the strengths and limitations of these technologies and sets the foundation for the research methodology. The methodology section outlines the data collection process, including the selection of study areas, UAV flight planning, LiDAR data acquisition, data processing techniques, and integration of data from multiple sources. The findings of this study demonstrate the effectiveness of integrating LiDAR and UAV technologies for mapping and monitoring landslide-prone areas. The high-resolution data obtained from LiDAR and UAV surveys enable the identification of potential landslide hazards, the analysis of terrain characteristics, and the monitoring of land surface changes over time. The results show that the integration of LiDAR and UAV data enhances the accuracy and efficiency of landslide mapping compared to traditional methods. The discussion section provides a detailed analysis of the findings, including the benefits, challenges, and implications of using LiDAR and UAV technologies for landslide monitoring. The discussion also explores the potential applications of the integrated approach in other geospatial mapping projects and natural hazard assessments. The conclusion summarizes the key findings of the study and offers recommendations for future research and practical applications. Overall, this thesis contributes to the advancement of geospatial mapping and landslide monitoring by demonstrating the effectiveness of integrating LiDAR and UAV technologies. The findings of this study have implications for improving landslide risk assessment, disaster preparedness, and land use planning in landslide-prone areas. The integration of LiDAR and UAV technology offers a valuable tool for enhancing the understanding and management of landslide hazards, ultimately contributing to the safety and resilience of communities in vulnerable regions.