Project Abstract

This project aims to develop a comprehensive understanding of coastal erosion patterns along a dynamic coastline using remote sensing and geographic information system (GIS) techniques. Coastal regions are often subject to significant and rapid changes due to the interplay of natural and anthropogenic factors, such as sea-level rise, extreme weather events, and human activities. Accurate mapping and characterization of these erosion patterns are crucial for effective coastal management, disaster risk reduction, and sustainable development. The project will focus on a selected coastal region, which has been experiencing notable coastal erosion over the past decades. By integrating satellite imagery, aerial photography, and other geospatial data, the team will create high-resolution maps and quantify the spatial and temporal variations in shoreline position, coastal morphology, and erosion rates. The use of remote sensing data, such as Landsat, Sentinel, and high-resolution commercial satellite imagery, will enable the researchers to capture the long-term trends and patterns of coastal change, while GIS tools will facilitate the analysis, visualization, and modeling of the collected data. One of the key objectives of this project is to identify the primary drivers of coastal erosion in the study area. The team will investigate the influence of factors such as wave dynamics, tidal currents, sediment transport, and human interventions (e.g., coastal defense structures, land-use changes) on the observed erosion patterns. By integrating these geophysical and anthropogenic variables, the researchers will develop a comprehensive understanding of the complex coastal processes shaping the study area. The project will also explore the use of geospatial modeling techniques to forecast future erosion scenarios and assess the potential impacts on coastal communities, infrastructure, and ecosystems. This information will be invaluable for policymakers, urban planners, and coastal managers in developing effective strategies for climate change adaptation, disaster risk reduction, and sustainable coastal development. Furthermore, the project will establish a robust monitoring and early warning system for coastal erosion, utilizing the latest advancements in remote sensing and GIS technologies. This system will enable the continuous tracking of shoreline changes, facilitating timely interventions and proactive management of coastal resources. The expected outcomes of this project include 1. High-resolution maps and geospatial datasets depicting the spatial and temporal patterns of coastal erosion in the study area. 2. Identification of the primary drivers of coastal erosion and their relative contributions to the observed changes. 3. Predictive models and scenarios for future coastal erosion, considering the impacts of climate change and anthropogenic activities. 4. Development of a monitoring and early warning system for coastal erosion, integrated with decision-support tools for coastal management. 5. Capacity-building and knowledge-sharing activities to disseminate the project's findings and methodologies to relevant stakeholders, including policymakers, coastal managers, and the scientific community. This project has the potential to make a significant contribution to the field of coastal management and climate change adaptation. By leveraging the power of remote sensing and GIS technologies, the research team aims to provide a comprehensive understanding of coastal erosion patterns and inform effective policies and strategies for the sustainable management of coastal regions.

Project Overview