Project Abstract

Abstract
Landslides are natural hazards that pose significant risks to human lives, infrastructure, and the environment in mountainous regions. To mitigate these risks, it is essential to accurately assess and map landslide susceptibility. This research project focuses on investigating landslide susceptibility mapping using remote sensing and Geographic Information System (GIS) techniques in a mountainous region. The study aims to enhance the understanding of the spatial distribution and factors influencing landslide occurrence, ultimately facilitating better land use planning and disaster risk management strategies. Chapter one provides an introduction to the research topic, highlighting the background of the study, the problem statement, objectives, limitations, scope, significance, structure of the research, and key definitions. Chapter two presents a comprehensive literature review, covering ten key aspects related to landslide susceptibility mapping, remote sensing, GIS applications, and previous studies in similar contexts. Chapter three outlines the research methodology, including data collection methods, data preprocessing techniques, landslide inventory development, remote sensing data analysis, GIS modeling processes, validation methods, and uncertainty analysis. The detailed methodology ensures the rigor and reliability of the research findings. Chapter four presents the discussion of findings, analyzing the results of the landslide susceptibility mapping using remote sensing and GIS techniques. The chapter delves into the spatial distribution of landslide susceptibility zones, the factors influencing landslide occurrence, the accuracy of the predictive model, and the implications for land use planning and disaster risk reduction strategies in the study area. The conclusion and summary in Chapter five provide a comprehensive overview of the research outcomes, emphasizing the significance of the findings, the contributions to the field of geology and disaster risk management, and recommendations for future research. The research highlights the effectiveness of remote sensing and GIS techniques in landslide susceptibility mapping, offering valuable insights for decision-makers and stakeholders involved in land use planning and disaster risk management in mountainous regions. In conclusion, this research project contributes to the advancement of knowledge in landslide susceptibility mapping and provides practical implications for enhancing disaster resilience in mountainous regions. By integrating remote sensing and GIS technologies, the study offers a robust methodology for assessing landslide susceptibility, which can be applied to other similar regions facing similar challenges.

Project Overview