Project Abstract

Abstract
Landslides pose significant threats to human lives, infrastructure, and the environment in mountainous regions worldwide. This research aims to analyze landslide susceptibility in a specific mountainous region utilizing advanced Remote Sensing and Geographic Information System (GIS) techniques. The study seeks to understand the factors contributing to landslide occurrences and develop a reliable model for predicting landslide susceptibility. The research begins with a thorough review of existing literature on landslides, remote sensing technologies, GIS applications, and landslide susceptibility assessment methods. This literature review provides a comprehensive overview of the current state of knowledge in these areas and identifies gaps that this research seeks to address. Chapter Three outlines the research methodology, detailing the data collection process, including satellite imagery acquisition, field surveys, and geological mapping. The processing and analysis of remote sensing data using GIS software are described, along with the application of statistical techniques to identify key factors influencing landslide susceptibility. Chapter Four presents a detailed discussion of the research findings, including the identification of landslide-prone areas based on the developed susceptibility model. The results of the study are critically analyzed, highlighting the accuracy and reliability of the predictive model in assessing landslide susceptibility in the study area. The conclusion and summary in Chapter Five provide a comprehensive overview of the research outcomes, emphasizing the importance of integrating remote sensing and GIS techniques in landslide susceptibility analysis. The significance of the research findings is discussed, along with recommendations for future studies and practical implications for land use planning and disaster risk reduction in mountainous regions. Overall, this research contributes to the advancement of knowledge in landslide susceptibility assessment by demonstrating the effectiveness of Remote Sensing and GIS technologies in predicting landslide occurrences in mountainous terrains. The findings of this study have important implications for disaster management strategies, infrastructure development, and environmental conservation in landslide-prone regions.

Project Overview