Project Abstract

Abstract
Land subsidence is a critical issue in urban areas, leading to infrastructure damage, increased flood risk, and potential environmental hazards. This research project aims to analyze land subsidence in urban areas using remote sensing techniques to provide valuable insights for sustainable urban development and risk management strategies. The study focuses on exploring the causes, extent, and impacts of land subsidence in urban areas, with a specific emphasis on the role of remote sensing technologies in monitoring and analyzing subsidence patterns. The research begins with a comprehensive literature review to examine existing studies and methodologies related to land subsidence and remote sensing applications. The review highlights the importance of understanding the underlying factors contributing to land subsidence, such as groundwater extraction, soil compaction, and geological conditions, to effectively mitigate its adverse effects on urban environments. The methodology chapter outlines the research design and data collection techniques, including the utilization of satellite imagery, LiDAR data, and Geographic Information System (GIS) tools to analyze land subsidence patterns over time. The study incorporates advanced remote sensing algorithms and techniques to detect and measure subsidence rates accurately, providing a detailed assessment of the spatial and temporal variations in affected urban areas. Through the analysis of remote sensing data, the research identifies hotspots of land subsidence and assesses the associated risks to urban infrastructure, utilities, and communities. The findings reveal the complex interplay of natural and anthropogenic factors contributing to land subsidence, emphasizing the importance of implementing sustainable land use practices and groundwater management strategies to mitigate subsidence impacts. The discussion chapter presents a detailed interpretation of the research findings, highlighting the spatial distribution and temporal trends of land subsidence in urban areas. The analysis explores the potential implications of subsidence on urban planning, infrastructure resilience, and environmental sustainability, providing valuable insights for policymakers, urban planners, and stakeholders involved in land management and development. In conclusion, the research project underscores the significance of remote sensing techniques in monitoring and analyzing land subsidence in urban areas. By integrating spatial data analysis and geospatial technologies, the study offers a comprehensive understanding of the dynamics of land subsidence and its implications for urban resilience and sustainability. The research contributes to the body of knowledge on land subsidence mitigation strategies and provides a foundation for future research on sustainable urban development practices in subsidence-prone areas. Keywords Land subsidence, Urban areas, Remote sensing, Geographic Information System, Infrastructure resilience, Sustainable development.

Project Overview