Analysis of Landslide Susceptibility in a Mountainous Region Using Remote Sensing and GIS Techniques

Thesis Overview

The research project titled "Analysis of Landslide Susceptibility in a Mountainous Region Using Remote Sensing and GIS Techniques" aims to investigate and analyze the factors contributing to landslide susceptibility in a mountainous region with the aid of advanced technologies such as remote sensing and Geographic Information System (GIS). The study is motivated by the increasing occurrences of landslides in mountainous areas, which pose significant risks to human lives, infrastructure, and the environment. The project will commence with an introduction that highlights the importance of studying landslide susceptibility and the relevance of utilizing remote sensing and GIS technologies in geospatial analysis. The background of the study will provide a comprehensive overview of landslides, their causes, impacts, and the existing methods of susceptibility assessment. The problem statement will clearly define the research gap, emphasizing the need for a more accurate and efficient approach to assess landslide susceptibility. The objectives of the study include identifying the key factors contributing to landslide susceptibility, developing a predictive model using remote sensing data and GIS techniques, and assessing the accuracy of the model in predicting landslide-prone areas. The limitations of the study will be acknowledged, including data availability, resolution constraints, and potential uncertainties in the modeling process. The scope of the study will outline the geographic area of focus, the types of landslides considered, and the specific remote sensing and GIS tools to be utilized. The significance of the study lies in its potential to enhance landslide risk assessment and mitigation strategies in mountainous regions. By combining remote sensing data with GIS techniques, the research aims to provide valuable insights for land use planning, disaster preparedness, and infrastructure development in landslide-prone areas. The structure of the thesis will be outlined to guide the reader through the research methodology, findings, and conclusions. The research overview emphasizes the innovative approach of integrating remote sensing and GIS technologies to analyze landslide susceptibility, highlighting the interdisciplinary nature of the study. Through a detailed investigation of the study area and the application of advanced geospatial techniques, the project aims to contribute to the field of geoscience and promote sustainable land management practices in mountainous regions.