Analysis of landslide susceptibility in a specific region using GIS and remote sensing techniques.

Thesis Abstract

Abstract
Landslides are natural hazards that pose significant threats to human lives, infrastructure, and the environment. Understanding the factors contributing to landslide susceptibility is crucial for effective risk management and mitigation strategies. This research project focuses on the analysis of landslide susceptibility in a specific region using Geographic Information System (GIS) and remote sensing techniques. The study area is characterized by complex topography, geological formations, and land use patterns that influence landslide occurrence. The objectives of the study are to assess the spatial distribution of landslide susceptibility factors, develop a landslide susceptibility map, and analyze the relationship between these factors and landslide occurrences. The research methodology involves collecting and analyzing various data sources, including topographic maps, satellite imagery, geological maps, and land cover data. GIS-based techniques such as overlay analysis, weighted overlay, and logistic regression will be employed to model landslide susceptibility. The literature review explores previous studies on landslide susceptibility assessment, GIS applications in landslide analysis, and remote sensing techniques for landslide detection. The review highlights the importance of integrating spatial data and advanced technologies for accurate landslide susceptibility mapping. The research methodology chapter outlines the data collection process, data preprocessing steps, and the application of GIS and remote sensing tools for landslide susceptibility analysis. The chapter also discusses the statistical methods used to validate the susceptibility model and assess its accuracy. The findings chapter presents the results of the susceptibility analysis, including the spatial distribution of susceptibility factors, the landslide susceptibility map, and the validation of the model. The discussion section interprets the findings, identifies key factors influencing landslide susceptibility, and discusses the implications for landslide risk assessment and management. In conclusion, this research contributes to the understanding of landslide susceptibility in the study area and provides valuable insights for decision-makers and planners to mitigate landslide risks. The integration of GIS and remote sensing techniques offers a powerful approach for assessing landslide susceptibility and enhancing disaster resilience in vulnerable regions. Keywords Landslide susceptibility, Geographic Information System (GIS), Remote sensing, Risk assessment, Hazard mapping.