Project Abstract

This project aims to develop an efficient and comprehensive system for the automated mapping of coastal erosion using remote sensing data and Geographic Information Systems (GIS) technology. Coastal regions around the world are facing increasing threats from climate change, sea-level rise, and human-induced factors, leading to accelerated erosion and the loss of valuable land, infrastructure, and ecosystems. Accurate and timely monitoring of these erosion patterns is crucial for informed decision-making, effective coastal management, and the implementation of appropriate mitigation strategies. The project will leverage the power of remote sensing techniques, such as satellite imagery, aerial photography, and Light Detection and Ranging (LiDAR) data, to capture comprehensive and high-resolution spatial and temporal information about the coastline. By integrating these remote sensing data with advanced GIS tools, the project will develop an automated workflow for the detection, analysis, and mapping of coastal erosion patterns. This innovative approach will enable efficient and consistent monitoring of coastal changes, providing decision-makers with the necessary information to implement proactive and targeted interventions. The key objectives of this project are 1. Develop a robust and scalable methodology for the automated extraction of coastline features and the detection of erosion hotspots using a combination of remote sensing data and GIS techniques. 2. Implement advanced image processing and spatial analysis algorithms to accurately measure and quantify the rate and extent of coastal erosion over time. 3. Integrate the automated erosion mapping system with web-based or mobile-friendly platforms, allowing for real-time data visualization, analysis, and dissemination to a wide range of stakeholders, including coastal management authorities, urban planners, and the general public. 4. Assess the accuracy and reliability of the automated mapping system through extensive validation using ground-truth data and expert-driven assessments. 5. Explore the integration of socioeconomic and environmental data to further enhance the decision-making capabilities of the system, enabling the assessment of the impacts of coastal erosion on communities, infrastructure, and ecosystems. The expected outcomes of this project include 1. A comprehensive and user-friendly system for the automated mapping and monitoring of coastal erosion, facilitating informed decision-making and the development of effective mitigation strategies. 2. Improved understanding of the spatial and temporal dynamics of coastal erosion, enabling targeted interventions and the allocation of resources to high-risk areas. 3. Enhanced collaboration and data-sharing among various stakeholders, such as coastal management agencies, research institutions, and local communities, fostering a coordinated approach to coastal resilience. 4. Increased public awareness and engagement in coastal conservation and management, through the integration of the mapping system with user-friendly platforms and the dissemination of relevant information. 5. Potential for the replication and adaptation of the automated mapping system to other coastal regions, contributing to a global knowledge base and the development of standardized best practices. By addressing the critical challenge of coastal erosion through the innovative application of remote sensing and GIS technologies, this project will contribute to the sustainable management of coastal environments, the protection of vulnerable communities and infrastructure, and the preservation of valuable natural resources. The successful implementation of this project will have far-reaching implications for coastal resilience and environmental stewardship worldwide.

Project Overview