Thesis Abstract

Abstract
Landslides pose significant threats to communities and infrastructure in various regions globally. In order to mitigate these risks, it is essential to accurately assess landslide susceptibility. This research project focuses on the Assessment of Landslide Susceptibility using Remote Sensing and Geographic Information Systems (GIS) in a Selected Region. The study aims to utilize advanced technologies and spatial analysis techniques to identify areas prone to landslides, with the overarching goal of enhancing disaster preparedness and risk management strategies. The introductory chapter provides a comprehensive overview of the research topic, discussing the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms. The literature review chapter synthesizes existing knowledge on landslide susceptibility assessment methods, remote sensing technologies, GIS applications, and relevant case studies. This chapter also highlights gaps in the current literature, which the present study seeks to address. The research methodology chapter outlines the approach and tools employed in this study. It includes details on data collection techniques, data processing methods, modeling procedures, and validation strategies. The chapter emphasizes the importance of integrating remote sensing data with GIS for accurate and efficient landslide susceptibility mapping. In the discussion of findings chapter, the results of the assessment are presented and analyzed in detail. Various factors influencing landslide susceptibility, such as topography, land cover, precipitation, and land use, are considered in the analysis. The chapter also discusses the strengths and limitations of the methodology employed and provides insights into the practical implications of the findings for disaster risk reduction efforts. The conclusion and summary chapter encapsulate the key findings of the study and their implications for landslide susceptibility assessment and risk management. Recommendations for future research directions and practical applications are also provided. Overall, this research contributes to the growing body of knowledge on utilizing remote sensing and GIS for landslide susceptibility assessment and underscores the importance of proactive measures in mitigating landslide risks in vulnerable regions.

Thesis Overview

The project titled "Assessment of Landslide Susceptibility using Remote Sensing and Geographic Information Systems (GIS) in a Selected Region" aims to investigate and analyze the factors contributing to landslide susceptibility in a specific region using advanced technologies such as remote sensing and GIS. Landslides are natural hazards that can cause significant damage to infrastructure, property, and human lives. By conducting this research, we seek to enhance understanding of the spatial distribution and characteristics of landslides in the selected region, ultimately enabling better risk assessment and mitigation strategies. The research will begin with a comprehensive literature review to explore existing studies on landslide susceptibility assessment, remote sensing applications, GIS techniques, and relevant methodologies. This will provide a foundation for understanding the theoretical framework and methodologies used in similar research projects. The literature review will also identify gaps in current knowledge that the present study aims to address. The methodology chapter will detail the approach taken to assess landslide susceptibility in the selected region. This will include data collection methods, such as satellite imagery acquisition, field surveys, and geospatial data processing. Remote sensing techniques will be employed to identify and map land cover, terrain morphology, slope stability, and other relevant factors that influence landslide susceptibility. GIS software will be utilized to integrate and analyze the collected data, enabling the creation of a susceptibility map highlighting areas at high risk of landslides. The discussion of findings chapter will present and interpret the results obtained from the analysis of landslide susceptibility factors in the selected region. The spatial distribution of landslides and the relationship between contributing factors will be analyzed to identify patterns and trends. The susceptibility map generated through remote sensing and GIS techniques will be validated and compared with historical landslide events to assess its accuracy and reliability. The conclusion and summary chapter will provide a comprehensive overview of the research findings, highlighting key insights, implications, and recommendations for future studies and practical applications. The significance of the research in improving landslide risk management and mitigation strategies will be emphasized, underscoring the importance of utilizing advanced technologies like remote sensing and GIS in natural hazard assessments. Overall, the project on the assessment of landslide susceptibility using remote sensing and GIS in a selected region represents a critical endeavor to enhance our understanding of landslide dynamics and improve disaster preparedness and response mechanisms. Through the integration of cutting-edge technologies and geospatial analysis, this research aims to contribute valuable insights to the field of geology and natural hazard management.