Thesis Abstract

Abstract
Landslides are natural hazards that pose significant risks to human life, infrastructure, and the environment. Understanding the factors that contribute to landslide susceptibility is crucial for effective hazard mitigation and risk management. In recent years, remote sensing and Geographic Information System (GIS) techniques have emerged as valuable tools for assessing landslide susceptibility. This thesis focuses on the analysis of landslide susceptibility using remote sensing and GIS techniques in a specific region. The research begins with a comprehensive introduction that outlines the background of the study, problem statement, objectives, limitations, scope, significance, and the structure of the thesis. The literature review in Chapter Two covers ten key aspects related to landslide susceptibility, remote sensing, GIS techniques, and previous studies in the field. Chapter Three details the research methodology, including data collection methods, data processing techniques, and the application of remote sensing and GIS tools for landslide susceptibility analysis. This chapter also discusses the selection criteria for the study area, data sources, and the development of susceptibility models. Chapter Four presents an elaborate discussion of the findings obtained from the analysis. The results of the study are interpreted, and the factors influencing landslide susceptibility in the specific region are identified. The chapter also evaluates the accuracy and reliability of the developed susceptibility models. In Chapter Five, the conclusion and summary of the project thesis are provided. The key findings, implications of the study, recommendations for future research, and the overall significance of the research are discussed. The thesis concludes with a reflection on the importance of remote sensing and GIS techniques for landslide susceptibility analysis and the potential for improved landslide risk management strategies. This thesis contributes to the existing body of knowledge on landslide susceptibility analysis by demonstrating the effectiveness of remote sensing and GIS techniques in assessing landslide hazards. The findings of this research can inform decision-makers, planners, and stakeholders in implementing proactive measures to mitigate landslide risks and enhance disaster resilience in the study area.

Thesis Overview

The project titled "Analysis of landslide susceptibility using remote sensing and GIS techniques in a specific region" aims to investigate the factors influencing landslide occurrences in a designated area through the integration of remote sensing and Geographic Information System (GIS) technologies. Landslides are natural hazards that pose significant risks to human lives, infrastructure, and the environment, making their study crucial for hazard mitigation and risk management. The research will commence with a comprehensive literature review to establish the current understanding of landslide susceptibility assessment methodologies, remote sensing applications, and GIS techniques. This review will provide a solid foundation for the study by highlighting existing research gaps and methodologies used in similar studies. Following the literature review, the research methodology will be outlined, detailing the data collection techniques, analysis procedures, and modeling approaches to be employed in assessing landslide susceptibility. Remote sensing data, including satellite imagery and digital elevation models, will be utilized to identify and map factors such as land cover, slope, geology, rainfall patterns, and land use that contribute to landslide occurrences. GIS software will be utilized to integrate and analyze these spatial datasets to generate a landslide susceptibility map for the study area. The project will involve field validation to verify the accuracy of the susceptibility map and validate the identified landslide-prone areas. This fieldwork will provide ground truth data to evaluate the effectiveness of the remote sensing and GIS-based approach in assessing landslide susceptibility. The findings of the study will be discussed in detail, highlighting the key factors contributing to landslide susceptibility in the specific region under investigation. The results will offer insights into the spatial patterns of landslide-prone areas, enabling better understanding and prediction of landslide occurrences in the study area. In conclusion, the project will summarize the key findings, implications, and recommendations for future research and land use planning strategies to mitigate landslide risks in the specific region. The integration of remote sensing and GIS techniques in landslide susceptibility assessment will provide valuable tools for decision-makers, urban planners, and disaster management authorities to enhance preparedness and response strategies for landslide events.