Project Abstract

Abstract
The application of Light Detection and Ranging (LiDAR) technology in landslide monitoring and prediction has gained significant attention in recent years due to its capability to provide high-resolution topographic data for assessing and analyzing landslide-prone areas. This research aims to explore the effectiveness of LiDAR technology in enhancing landslide monitoring and prediction strategies. The study will focus on evaluating the potential of LiDAR data in detecting landslide-prone areas, analyzing slope stability, and assessing the factors contributing to landslide occurrences. The research will begin with a comprehensive review of the existing literature on LiDAR technology, landslides, and their relationship. This review will provide a theoretical foundation for understanding the principles of LiDAR technology, its applications in geosciences, and its relevance to landslide monitoring and prediction. The literature review will also highlight the current challenges and limitations in traditional landslide monitoring methods and the potential benefits of integrating LiDAR technology into these practices. Following the literature review, the research methodology will be outlined, detailing the data collection techniques, data processing procedures, and analytical methods to be employed in the study. The methodology will include the acquisition of LiDAR data, the generation of digital elevation models (DEMs), the identification of landslide indicators, and the development of predictive models for landslide susceptibility mapping. The findings of the study will be presented and discussed in Chapter 4, focusing on the effectiveness of LiDAR technology in detecting landslide-prone areas, assessing slope stability, and predicting landslide occurrences. The results will be analyzed to determine the correlation between LiDAR-derived data and landslide events, as well as the accuracy of the predictive models developed using LiDAR data. The conclusion and summary chapter will provide a comprehensive overview of the research findings, highlighting the key contributions of the study to the field of landslide monitoring and prediction. The implications of the research findings for future landslide management strategies and the potential for further research in this area will also be discussed. Overall, this research seeks to contribute to the advancement of landslide monitoring and prediction techniques by demonstrating the utility of LiDAR technology in enhancing the accuracy, efficiency, and reliability of landslide assessment and management practices. The findings of this study will provide valuable insights for geoscientists, land use planners, and policymakers involved in mitigating the impact of landslides on vulnerable communities and infrastructure.

Project Overview