Thesis Abstract

Abstract
Landslides are natural hazards that pose significant risks to human lives, infrastructure, and the environment. Assessing landslide susceptibility is crucial for effective disaster risk management and mitigation strategies. This thesis focuses on the assessment of landslide susceptibility using remote sensing and Geographic Information Systems (GIS) techniques. The study area selected for this research is [insert study area], known for its susceptibility to landslides due to its topographic and geological characteristics. The primary objectives of this research are to (1) develop a landslide susceptibility map using remote sensing data and GIS techniques, (2) identify the key factors influencing landslide occurrence in the study area, and (3) assess the accuracy and reliability of the developed landslide susceptibility map. The methodology involves collecting and processing remote sensing data, including satellite imagery, digital elevation models, and land cover maps. GIS-based analysis techniques such as weighted overlay, fuzzy logic, and statistical modeling will be employed to assess landslide susceptibility. The literature review covers ten key aspects related to landslide susceptibility assessment, including the role of remote sensing and GIS technologies, landslide triggering factors, and existing methods for landslide susceptibility mapping. The research methodology section outlines the data collection process, data processing steps, and the analytical techniques used to develop the landslide susceptibility map. The discussion of findings chapter presents the results of the analysis, highlighting the spatial distribution of landslide susceptibility zones and the factors contributing to landslide occurrence in the study area. The significance of this study lies in its contribution to enhancing our understanding of landslide susceptibility assessment using advanced technologies. The developed landslide susceptibility map can serve as a valuable tool for land use planning, disaster risk reduction, and emergency response in the study area. The limitations of the study, such as data availability and accuracy, are also discussed, providing insights for future research in this field. In conclusion, this thesis demonstrates the effectiveness of remote sensing and GIS techniques in assessing landslide susceptibility and provides valuable insights for decision-makers and stakeholders involved in landslide risk management. The findings of this research contribute to the growing body of knowledge on landslide susceptibility assessment and highlight the importance of integrating advanced technologies for disaster risk reduction and resilience building.

Thesis Overview