Thesis Abstract

Abstract
This thesis explores the analysis of landslide susceptibility utilizing remote sensing and Geographic Information System (GIS) techniques within a specific region. Landslides pose significant risks to communities and infrastructure, making it crucial to understand and predict their occurrence. Remote sensing data, such as satellite imagery, and GIS technology offer valuable tools for assessing landslide susceptibility by analyzing terrain characteristics, land use patterns, and environmental factors. The study begins with an introduction that sets the context for the research, followed by a comprehensive review of relevant literature on landslides, remote sensing, and GIS applications. The research methodology section outlines the steps taken to collect, process, and analyze data to evaluate landslide susceptibility in the study area. Findings from the analysis are discussed in detail in Chapter Four, highlighting the key factors influencing landslide susceptibility in the specific region. Remote sensing and GIS techniques have shown promise in identifying high-risk areas prone to landslides, providing valuable information for land use planning and disaster management. The conclusion and summary chapter synthesize the research findings and discuss the implications for future studies and practical applications. By integrating remote sensing and GIS technologies, this research contributes to improving our understanding of landslide susceptibility and enhancing mitigation efforts in regions prone to landslides. Overall, this thesis underscores the importance of leveraging advanced technologies to assess landslide susceptibility effectively, ultimately supporting sustainable development and disaster risk reduction initiatives in vulnerable areas.

Thesis Overview

The research project titled "Analysis of landslide susceptibility using remote sensing and GIS techniques in a specific region" aims to investigate the factors contributing to landslide occurrence in a particular area through the application of advanced technologies such as remote sensing and Geographic Information System (GIS). Landslides are natural hazards that pose significant risks to human lives, infrastructure, and the environment. Understanding the susceptibility of an area to landslides is crucial for effective disaster risk management and mitigation strategies. The research will focus on utilizing remote sensing data, such as satellite imagery and aerial photographs, to identify and analyze potential landslide-prone areas in the study region. GIS techniques will be employed to integrate and analyze various geospatial data layers, including topography, geology, land cover, rainfall patterns, and land use, to assess the factors influencing landslide susceptibility. By combining remote sensing and GIS technologies, the study aims to develop a comprehensive landslide susceptibility map that can aid in decision-making processes related to land use planning, infrastructure development, and disaster preparedness. The specific objectives of the research include identifying the key environmental factors contributing to landslide susceptibility, mapping landslide-prone areas within the study region, and assessing the accuracy and reliability of the developed susceptibility model. The study will also explore the limitations and challenges associated with using remote sensing and GIS techniques for landslide analysis in the specific region. The significance of this research lies in its potential to enhance the understanding of landslide dynamics and improve the capacity to predict and mitigate landslide risks in the study area. The findings of the study will provide valuable information for local authorities, urban planners, and disaster management agencies to develop effective strategies for reducing the impact of landslides on communities and infrastructure. Moreover, the research outcomes can contribute to the broader field of geohazards assessment and management, providing valuable insights for similar studies in other regions facing similar challenges. Overall, the research project on the analysis of landslide susceptibility using remote sensing and GIS techniques in a specific region holds promise for advancing knowledge in the field of geohazards assessment and improving disaster risk management practices. By leveraging cutting-edge technologies and methodologies, the study seeks to address critical gaps in understanding landslide susceptibility and support informed decision-making for sustainable development and disaster resilience.