Introduction

In the context of the OGC CDRP 2024.2 pilot project (https://www.ogc.org/initiatives/climate-and-disasters/), the objective was to develop a Generative AI-powered demonstrator focused on coastal resilience, utilizing Copernicus data and OGC-compliant services to address key challenges such as coastal flooding, sea-level rise, and storm impacts on vulnerable regions.

The demonstrator integrates data from platforms such as C3S, CAMS, and WEkEO, along with other external sources such as INSPIRE and EMODnet, leveraging the capabilities of the LLAMA3 model. By combining these datasets, the demonstrator aims to showcase how environmental indicators and coastal resilience indices can be effectively used to enhance climate adaptation strategies in coastal areas. It serves as a foundational tool for decision-makers, supporting the evaluation of coastal resilience strategies in alignment with the Green Deal objectives. Additionally, the focus extends to coastal risk monitoring and predictive modelling to strengthen emergency response capabilities, ensuring a proactive approach to coastal management and resilience planning.

Figure 1: Coastal Risk indicators to assess Physical, Socioeconomic, and Coastal Vulnerability for impact-based modelling in coastal communities. Adapted from: Rocha, C., Antunes, C., & Catita, C. (2023) [1].

Coastal resilience integrates multiple factors, including physical susceptibility, coastal hazards, and cumulative human impact, to evaluate the degree of vulnerability in coastal areas. By incorporating socio-economic and environmental parameters alongside coastal morphodynamics, the index helps in assessing potential risks related to sea-level rise, storm surges, coastal erosion, and human activities. This approach aligns with the overall framework for coastal risk assessment, which also includes other indicators such as the Coastal Risk Index (CRI), Physical Vulnerability Index (PVI), and Socioeconomic Vulnerability Index (SVI), providing a comprehensive understanding of coastal resilience. Sectoral Use Case D101 focuses on Coastal Resilience, specifically through the Coastal Vulnerability Index (CVI), which is one of the key indicators within a broader framework of coastal risk assessment, as illustrated in Figure 1.

Consequently, the demonstrator supporting this use case enhances the identification of vulnerable coastal zones via CVI, transforming complex geospatial and environmental data into intuitive and actionable outputs. By visualizing key risk components and coastal zones, the tool enables policymakers, planners, and local communities to engage in evidence-based and informative decision-making processes. This approach is part of a broader integrated model that has the potential to be further developed into a holistic coastal risk assessment and impact-based modelling framework. By incorporating additional indicators and workflows—such as socio-economic vulnerability, and coastal exposure—the model could offer a comprehensive, multi-dimensional analysis of coastal risk.

References

[1]

Rocha, C., Antunes, C., & Catita, C. (2023). Coastal indices to assess sea-level rise impacts - A brief review of the last decade. In Ocean & Coastal Management (Vol. 237, p. 106536). Elsevier BV. https://doi.org/10.1016/j.ocecoaman.2023.106536