How does ENHANCE transform data into operational intelligence for coastal management?
Deliverable D3.1 – ENHANCE Open One Health Core Platform presents the first release of the project’s core digital infrastructure — the backbone that enables data integration, AI processing, and risk assessment services .
This deliverable translates the conceptual architecture and user requirements defined in WP2 into an operational, cloud-native platform designed to ingest, manage, analyse, and expose environmental and citizen-generated data.
D3.1:
- Defines the high-level architecture of the ENHANCE platform, covering data acquisition, management, AI analytics, and visualisation layers
- Details a secure identity and access management system based on OpenID Connect and Keycloak, ensuring role-based and GDPR-aligned data governance
- Describes the storage and integration layers, built on MinIO (object storage), MongoDB (metadata registry), and a REST API backbone
- Explains the deployment model using Docker and Kubernetes, ensuring scalability, modularity, and interoperability
- Documents operational pipelines for pressure and impact assessment, including:
- Land-based eutrophication risk mapping (D-LUSI methodology)
- Satellite-based chlorophyll-a retrieval from Sentinel-2 imagery
- AI-driven biodiversity monitoring from citizen observations
- Early-warning indicators for turbidity and algal blooms
- Introduces methodologies for dynamic risk mapping, including the Pressure–Impact–Management (PIM) approach and a multi-hazard coastal risk index
The deliverable demonstrates how heterogeneous data — Copernicus Earth Observation, in-situ measurements, and citizen science inputs — are structured into a secure, interoperable ecosystem capable of generating decision-ready outputs .
D3.1 marks the transition from platform design to operational deployment. It establishes the technical foundation upon which ENHANCE services, AI models, and interactive user interfaces will be built and validated in the two pilot regions.