Thesis Abstract

Abstract
This thesis presents a comprehensive investigation into the analysis of landslide susceptibility utilizing remote sensing and Geographic Information System (GIS) techniques. Landslides are natural hazards that pose significant risks to human lives, infrastructure, and the environment. Understanding the factors that contribute to landslide occurrence and mapping areas susceptible to landslides are crucial for effective risk management and mitigation strategies. Remote sensing and GIS technologies offer powerful tools for assessing landslide susceptibility by integrating spatial data and analytical methods. The research begins with an introduction to the problem of landslides and the importance of studying landslide susceptibility. A detailed background of the study provides a review of existing literature on landslides, remote sensing, GIS, and previous research on landslide susceptibility analysis. The problem statement highlights the need for accurate and efficient methods for assessing landslide susceptibility, considering the limitations and challenges in current approaches. The objectives of the study are outlined to guide the research towards developing a reliable methodology for analyzing landslide susceptibility. The methodology chapter describes the research approach, data collection methods, and the process of integrating remote sensing and GIS techniques for landslide susceptibility analysis. Various spatial analysis methods, including statistical modeling and machine learning algorithms, are utilized to identify and prioritize factors influencing landslide susceptibility. The research methodology also includes field validation and accuracy assessment to evaluate the effectiveness of the developed models. The discussion of findings chapter presents a detailed analysis of the results obtained from the landslide susceptibility assessment. The spatial distribution of landslide susceptibility zones is mapped, and the contributing factors are identified and analyzed. The findings reveal the significance of topographic, geological, land cover, and anthropogenic factors in determining landslide susceptibility in the study area. The implications of the results for landslide risk management and mitigation strategies are discussed, emphasizing the importance of incorporating spatial information for informed decision-making. In conclusion, this thesis provides valuable insights into the analysis of landslide susceptibility using remote sensing and GIS techniques. The research contributes to the field of geoscience by developing a robust methodology for assessing landslide susceptibility and generating accurate susceptibility maps. The study demonstrates the effectiveness of integrating remote sensing and GIS technologies for landslide risk assessment and highlights the importance of spatial data analysis in natural hazard management. Recommendations for future research and practical applications of the findings are also discussed to support ongoing efforts in landslide risk reduction and disaster resilience. Keywords Landslide susceptibility, Remote sensing, Geographic Information System (GIS), Spatial analysis, Risk assessment, Hazard mapping, Geoscience.

Thesis Overview

The project titled "Analysis of landslide susceptibility using remote sensing and GIS techniques" aims to investigate the factors contributing to landslide occurrences by utilizing remote sensing and Geographic Information System (GIS) technologies. Landslides are a significant geohazard that poses a threat to infrastructure, human lives, and the environment. Therefore, understanding the susceptibility of an area to landslides is crucial for effective hazard mitigation and disaster management strategies. The research will begin with an introductory section that provides background information on landslides, their causes, and impacts. The problem statement will highlight the need for accurate landslide susceptibility mapping to enhance preparedness and response to landslide events. The objectives of the study will focus on identifying key factors influencing landslide susceptibility, developing a predictive model using remote sensing and GIS data, and assessing the accuracy of the model. Limitations of the study will be acknowledged, such as data availability, scale limitations, and uncertainties associated with modeling natural hazards. The scope of the study will define the geographic extent, spatial resolution, and temporal coverage of the research area. The significance of the study lies in its potential to improve landslide risk assessment and management, leading to informed decision-making and resilient communities. The structure of the thesis will outline the organization of the research work, including the chapters and their respective contents. Definitions of key terms related to landslides, remote sensing, GIS, and susceptibility mapping will be provided to ensure clarity and understanding throughout the document. Chapter two will consist of a comprehensive literature review covering ten key aspects related to landslides, susceptibility mapping methods, remote sensing techniques, GIS applications, and previous studies in the field. This section will provide a theoretical framework and contextual background for the research. Chapter three will detail the research methodology, including data collection, preprocessing, feature selection, model development, and validation procedures. The chapter will also address the selection of study area, data sources, and the rationale behind the chosen methods and techniques. Chapter four will present a detailed discussion of the findings obtained from the analysis of landslide susceptibility using remote sensing and GIS approaches. The chapter will include the interpretation of results, comparison with existing models, and insights into the key factors influencing landslide occurrences. Chapter five will offer a conclusion and summary of the project thesis, highlighting the main findings, implications for landslide risk management, and recommendations for future research. The conclusion will reiterate the significance of the study and its contribution to the field of geoscience and natural hazard assessment. In summary, the project "Analysis of landslide susceptibility using remote sensing and GIS techniques" aims to advance the understanding of landslide susceptibility mapping through the integration of advanced technologies and spatial analysis methods. By investigating the complex interactions between environmental factors and landslide occurrences, the research seeks to enhance preparedness and resilience in landslide-prone areas, ultimately contributing to sustainable development and disaster risk reduction efforts.