Thesis Abstract

Abstract
Landslides represent a significant threat to human lives, infrastructure, and the environment in many regions worldwide. This study focuses on the analysis of landslide susceptibility using remote sensing and Geographic Information System (GIS) techniques in a specific region. The integration of these advanced technologies allows for a comprehensive assessment of factors contributing to landslide occurrence, providing valuable insights for mitigation and management strategies. The research begins with a thorough review of existing literature on landslide susceptibility assessment methodologies, remote sensing applications, and GIS techniques. This review sets the foundation for the methodology implemented in this study. A detailed methodology section outlines the data collection process, preprocessing steps, and the application of remote sensing data and GIS tools to analyze landslide susceptibility factors. The study area selected for this research is critically analyzed, considering its geological, geomorphological, and environmental characteristics to identify potential landslide-prone areas. Various factors influencing landslide occurrence, such as slope gradient, land cover, soil type, and rainfall patterns, are examined using remote sensing data and GIS analysis. The integration of these factors through advanced spatial modeling techniques provides a comprehensive understanding of landslide susceptibility in the specific region. The findings of this research reveal significant insights into the spatial distribution of landslide susceptibility within the study area. The identification of high-risk zones based on the combined analysis of multiple factors enables the development of targeted mitigation strategies and land use planning recommendations. The accuracy of the susceptibility model is assessed through validation techniques, demonstrating the reliability and effectiveness of the remote sensing and GIS-based approach. The significance of this study lies in its contribution to the field of landslide risk assessment and management. By leveraging remote sensing and GIS technologies, this research enhances the understanding of landslide susceptibility at a detailed spatial scale, facilitating proactive measures to reduce the impact of landslides on communities and infrastructure. The results of this study are expected to support decision-making processes for disaster risk reduction and sustainable land use planning in the specific region and serve as a valuable reference for future research in similar contexts. In conclusion, the analysis of landslide susceptibility using remote sensing and GIS techniques provides a comprehensive framework for assessing and mapping landslide-prone areas. Through the integration of advanced technologies and spatial analysis methods, this research offers a valuable tool for enhancing landslide risk management strategies and supporting sustainable development practices in regions vulnerable to landslide hazards.

Thesis Overview

The project titled "Analysis of landslide susceptibility using remote sensing and GIS techniques in a specific region" aims to investigate and assess the factors contributing to landslide susceptibility in a particular geographic area through the application of remote sensing and Geographic Information System (GIS) technologies. Landslides are natural hazards that pose significant risks to communities and infrastructure, making their analysis and prediction crucial for effective disaster management and mitigation strategies. The study will focus on a specific region chosen based on its history of landslides or known susceptibility factors. By utilizing remote sensing data, such as satellite imagery and aerial photographs, along with GIS tools, the research aims to identify and map various factors influencing landslide susceptibility, including topography, geology, land cover, precipitation patterns, and human activities. Through the analysis of these factors, the project seeks to develop a comprehensive understanding of the spatial distribution and potential triggers of landslides in the study area. By integrating remote sensing and GIS techniques, the research will provide valuable insights into the relationships between environmental variables and landslide occurrences, enabling the development of predictive models for landslide susceptibility. The research methodology will involve data collection, processing, and analysis using remote sensing software and GIS tools. Various statistical and spatial analysis techniques will be applied to assess the correlation between different factors and landslide occurrences. The findings of the study will be presented through maps, graphs, and statistical models to visualize and interpret the results effectively. Ultimately, the project aims to contribute to the field of landslide susceptibility assessment by demonstrating the effectiveness of remote sensing and GIS techniques in identifying and mapping areas at high risk of landslides. The insights gained from this research can inform land use planning, hazard mitigation strategies, and emergency response planning to reduce the impacts of landslides on communities and infrastructure in the specific region under study.