Project Abstract

Abstract
Landslides pose a significant threat to communities and infrastructure in various regions worldwide. In this research project, the focus is on analyzing landslide risk in a specific region using remote sensing and Geographic Information System (GIS) techniques. The study aims to enhance understanding of landslide susceptibility and provide valuable insights for effective risk mitigation strategies. The research begins with an introduction that highlights the importance of studying landslide risk and the growing role of remote sensing and GIS technologies in this field. The background of the study sets the context for investigating landslides in the specific region, emphasizing the need for accurate assessment and mapping of landslide-prone areas. The problem statement identifies the gaps in current landslide risk assessment methods and calls for a more advanced approach utilizing remote sensing and GIS. The objectives of the study are to assess the landslide risk in the specific region, develop a detailed susceptibility map, and analyze the contributing factors to landslide occurrence. The limitations of the study are acknowledged, including data availability constraints, accuracy of remote sensing data, and potential errors in GIS analysis. The scope of the study is defined in terms of the geographical area covered, the data sources utilized, and the methodologies applied. The significance of the study lies in its potential to inform policymakers, urban planners, and stakeholders about the areas at high risk of landslides, enabling them to implement proactive measures for disaster risk reduction. The structure of the research is outlined to provide a roadmap for the subsequent chapters, including the literature review, research methodology, discussion of findings, and conclusion. The literature review chapter critically examines existing studies on landslide risk assessment, remote sensing applications, GIS techniques, and factors influencing landslide occurrence. The review synthesizes relevant findings and identifies gaps that the current research aims to address. The research methodology chapter details the data collection methods, remote sensing techniques, GIS tools, and statistical analyses employed to assess landslide risk. It includes steps for image processing, terrain modeling, and susceptibility mapping, as well as validation procedures to ensure the accuracy of the results. The discussion of findings chapter presents the results of the landslide risk analysis, including the susceptibility map, key contributing factors, and areas of high risk. The findings are interpreted in light of the research objectives and compared with existing studies to validate the methodology and outcomes. In conclusion, this research contributes to the field of landslide risk assessment by demonstrating the effectiveness of remote sensing and GIS techniques in analyzing landslide susceptibility in a specific region. The study provides valuable insights for decision-makers to prioritize areas for mitigation measures and enhance resilience against landslide hazards. Keywords Landslide risk, Remote sensing, Geographic Information System (GIS), Susceptibility mapping, Disaster risk reduction.

Project Overview