Project Abstract

Abstract
Landslides pose a significant hazard in mountainous regions worldwide, leading to loss of life, destruction of infrastructure, and environmental degradation. Effective assessment of landslide susceptibility is crucial for mitigation and management efforts. This research focuses on utilizing remote sensing and Geographic Information System (GIS) techniques to assess landslide susceptibility in a mountainous region. The study aims to develop a comprehensive understanding of the spatial distribution of landslide-prone areas, factors influencing landslide occurrence, and the effectiveness of remote sensing and GIS technologies in landslide susceptibility assessment. The research begins with an introduction providing background information on landslides, their impact on mountainous regions, and the importance of assessing landslide susceptibility. The problem statement highlights the need for accurate and reliable methods to identify landslide-prone areas, while the research objectives aim to develop a robust methodology for assessing landslide susceptibility using remote sensing and GIS techniques. The study also addresses the limitations and scope of the research, emphasizing the significance of the findings in informing land use planning and disaster risk reduction strategies. Chapter One introduces the research topic, provides a background of the study, presents the problem statement, outlines the research objectives, discusses the limitations and scope of the study, highlights the significance of the research, and explains the structure of the research. Chapter Two comprises a comprehensive literature review covering ten key aspects related to landslides, remote sensing, GIS technologies, and landslide susceptibility assessment methodologies. The review synthesizes existing knowledge and provides a theoretical framework for the research. Chapter Three details the research methodology, including data collection methods, remote sensing techniques, GIS analysis procedures, and landslide susceptibility modeling approaches. The chapter outlines the step-by-step process of data acquisition, preprocessing, feature extraction, and model development. It also discusses the validation and calibration of the landslide susceptibility model to ensure its accuracy and reliability. In Chapter Four, the research findings are presented and discussed in detail. The chapter includes the spatial distribution of landslide susceptibility zones, the influence of topographic, geological, and land cover factors on landslide occurrence, and the effectiveness of remote sensing and GIS technologies in assessing landslide susceptibility. The findings are analyzed and interpreted to draw meaningful conclusions and implications for landslide mitigation and management strategies in mountainous regions. Finally, Chapter Five provides a comprehensive conclusion and summary of the research project. The key findings, implications, and recommendations are summarized, highlighting the significance of the study in enhancing our understanding of landslide susceptibility assessment using remote sensing and GIS techniques. The research contributes to the body of knowledge on landslide risk assessment and provides valuable insights for policymakers, planners, and researchers working in the field of natural hazard management. In conclusion, this research on the assessment of landslide susceptibility using remote sensing and GIS techniques in a mountainous region offers valuable insights into the spatial analysis of landslide-prone areas and the application of advanced technologies for disaster risk reduction. The findings of this study have the potential to inform land use planning, infrastructure development, and emergency preparedness measures to mitigate the impact of landslides in vulnerable mountainous regions.

Project Overview