Project Abstract

Abstract
Landslides are natural hazards that pose significant risks to human lives and infrastructure, especially in mountainous regions. The ability to predict and mitigate landslide occurrences is critical for effective disaster management and land use planning. This research focuses on the analysis of landslide susceptibility in a mountainous region using Geographic Information System (GIS) and Remote Sensing techniques. The study area selected for this research is characterized by steep slopes, varying geological formations, and a history of landslide occurrences. The research begins with a comprehensive introduction outlining the background of the study, the problem statement, research objectives, study limitations, scope, significance, structure, and definition of terms. A detailed literature review in Chapter Two examines existing studies on landslide susceptibility assessment, GIS applications, remote sensing techniques, and relevant methodologies used in similar research projects. Chapter Three presents the research methodology, including data collection methods, GIS data processing techniques, remote sensing analysis, landslide inventory mapping, terrain analysis, and the application of statistical models to assess landslide susceptibility. The chapter also discusses the selection criteria for input variables, model validation techniques, and the integration of GIS and remote sensing data for accurate susceptibility mapping. Chapter Four presents a comprehensive discussion of the research findings, including the identification of high-risk landslide zones, the relationship between terrain characteristics and landslide susceptibility, the accuracy of the susceptibility model, and the effectiveness of GIS and remote sensing techniques in landslide analysis. The chapter also discusses the implications of the findings for disaster management, land use planning, and future research directions. Finally, Chapter Five provides a summary of the research outcomes, conclusions drawn from the study, recommendations for stakeholders, and suggestions for further research in the field of landslide susceptibility assessment. The research findings highlight the importance of using GIS and remote sensing techniques for accurate and efficient landslide analysis in mountainous regions, contributing to improved disaster risk reduction strategies and sustainable land management practices. Overall, this research contributes valuable insights into the analysis of landslide susceptibility in mountainous regions, emphasizing the significance of incorporating advanced technologies such as GIS and remote sensing for effective hazard assessment and management.

Project Overview