Project Abstract

Abstract
Landslides are a significant hazard that poses threats to human lives, infrastructure, and the environment. The assessment of landslide susceptibility is crucial for effective risk management and mitigation strategies. This research focuses on utilizing Geographic Information System (GIS) and Remote Sensing techniques to assess landslide susceptibility in a selected region. The study aims to investigate the factors influencing landslide occurrence and develop a predictive model for landslide susceptibility mapping. The research begins with a comprehensive review of literature on landslides, GIS applications, remote sensing technologies, and previous studies on landslide susceptibility assessment. The literature review highlights the importance of incorporating spatial data and advanced technologies in landslide studies to improve accuracy and efficiency in susceptibility mapping. The methodology section outlines the research design, data collection methods, and analysis techniques employed in the study. Remote sensing data such as satellite imagery and digital elevation models are utilized to extract relevant information on terrain characteristics, land cover, and other factors influencing landslide susceptibility. GIS tools are used to integrate and analyze the spatial data for landslide susceptibility mapping. The findings from the study are presented and discussed in detail in Chapter Four. The results of the analysis reveal the spatial distribution of landslide susceptibility in the study area and identify high-risk zones prone to landslides. The discussion focuses on the factors contributing to landslide susceptibility and the effectiveness of GIS and remote sensing techniques in assessing and mapping landslide hazards. In conclusion, the research demonstrates the importance of GIS and remote sensing technologies in landslide susceptibility assessment. The study provides valuable insights into understanding the spatial patterns of landslide occurrence and identifying areas at high risk of landslides. The findings of this research contribute to enhancing landslide risk management strategies and promoting sustainable development practices in landslide-prone regions. Overall, this research highlights the significance of integrating GIS and remote sensing techniques for assessing landslide susceptibility and emphasizes the importance of proactive measures in mitigating landslide hazards. The study serves as a valuable resource for policymakers, land use planners, and other stakeholders involved in disaster risk reduction and management efforts.

Project Overview