Coastal Processes and Extremes - EO Based Digital Twin
Project Partners
Project Description
The Coastal DTC will provide a high-fidelity digital representation of coastal environments, integrating satellite, in situ, and IoT data to simulate, predict, and manage coastal processes. It will be an advanced dynamic reconstruction of coastal processes and coastal changes, including coastal hazards (flood and erosion risk, coastal vulnerability), impacts of climate change and human interventions on coastal communities and ecosystems as well as the feedback with the Earth system.
Designed to support real-time monitoring, predictive modelling, and scenario-based decision-making (ie “what-if” scenario testing), the system will enhance resilience against coastal hazards such as pollution, flooding, erosion, extreme weather, and biodiversity loss.
The project will leverage Earth Observation (EO) data, AI-driven analytics, and physics-based models to deliver actionable insights for sustainable coastal management and climate adaptation. The system’s flexible and scalable architecture will support diverse coastal processes and enable expansion into additional themes, facilitating cross-sector collaboration and interoperability with other DTCs.
