Project Abstract

Abstract
Landslides pose a significant threat to communities living in mountainous regions, leading to loss of lives, property damage, and disruption of infrastructure. The ability to predict and assess landslide susceptibility is crucial for effective disaster risk management and mitigation strategies. This research project focuses on the assessment of landslide susceptibility using remote sensing and GIS techniques in a mountainous region. The study area is characterized by steep slopes, diverse geological formations, and varying land cover types, contributing to the heightened susceptibility to landslides. Chapter One provides an introduction to the research, discussing the background of the study, problem statement, objectives, limitations, scope, significance, structure of the research, and definition of key terms. The literature review in Chapter Two explores existing knowledge on landslide susceptibility assessment, remote sensing technologies, GIS applications in landslide studies, and relevant methodologies employed in similar research. Chapter Three outlines the research methodology, including data collection techniques, remote sensing data acquisition, preprocessing steps, GIS analysis procedures, and validation methods. The chapter also discusses the selection of landslide conditioning factors, model development, and the integration of remote sensing and GIS technologies for landslide susceptibility mapping. Chapter Four presents a detailed discussion of the research findings, including the identification of landslide susceptibility zones, the influence of topographic factors on landslide occurrence, and the accuracy assessment of the susceptibility model. The chapter also addresses the challenges encountered during the research process and provides insights into the implications of the findings for landslide risk management in the study area. Finally, Chapter Five offers a comprehensive conclusion and summary of the research project, highlighting the key findings, limitations, and recommendations for future research and practical applications. The study contributes to the advancement of landslide susceptibility assessment techniques by integrating remote sensing and GIS technologies, providing valuable insights for disaster risk reduction and land use planning in mountainous regions prone to landslides.

Project Overview