Presentation Information
[uRAGwoU2-01]Advancing Marine Ecological Monitoring through a Digital Twin of the Ocean Framework
*Morane Clavel-Henry1 (1. GEOMAR (Germany))
Long-term ecological monitoring provides essential information on patterns, trends, and variability in biodiversity of marine ecosystems, including highly pressured coastal environments. The Digital Twin of the Ocean (DTO) framework offers new opportunities to combine biological and environmental observations with modelling methodologies, enabling the generation of near-real-time, spatially upscaled ecological indicators. Within the EU-funded DIGI4ECO project, a digital platform is being developed to expand marine information across four dimensions (space and time). Here, the objective is to demonstrate how a DTO framework can enhance the value of marine observatories and their platform networks by connecting in-situ observations, modelling tools, and decision-support interfaces within a coherent digital framework. The presentation will showcase project activities structured around three core themes: (i) observed and predicted data; (ii) Big Data infrastructure and pipeline; and (iii) machine-learning approaches.
The first theme develops on acquisition, integration, and harmonisation of multi-source datasets, including imagery, computationally assisted environmental DNA (eDNA), historical archives, and sleeping data. These observations are complemented by models that support the spatial upscaling of species distributions and socio-ecological analyses, helping to fill data gaps and strengthen decision-support capabilities. The second theme focuses on the integration of cross-site, cross-sectoral data streams while ensuring compliance with FAIR data principles within the DTO framework. We will also highlight advances in autonomous data collection and transmission between observing assets, including interactions between fixed platforms and mobile robotic systems through docking technologies. The third theme presents developments in automated organism classification using image analysis and machine-learning techniques, as well as their integration with remote mission supervision and adaptive control of multi-parameter sensor systems.
Ultimately, the DTO services developed within DIGI4ECO are designed to support the expansion of datasets, the deployment of new marine observatories, and evolving monitoring requirements driven by international policies and directives.
The first theme develops on acquisition, integration, and harmonisation of multi-source datasets, including imagery, computationally assisted environmental DNA (eDNA), historical archives, and sleeping data. These observations are complemented by models that support the spatial upscaling of species distributions and socio-ecological analyses, helping to fill data gaps and strengthen decision-support capabilities. The second theme focuses on the integration of cross-site, cross-sectoral data streams while ensuring compliance with FAIR data principles within the DTO framework. We will also highlight advances in autonomous data collection and transmission between observing assets, including interactions between fixed platforms and mobile robotic systems through docking technologies. The third theme presents developments in automated organism classification using image analysis and machine-learning techniques, as well as their integration with remote mission supervision and adaptive control of multi-parameter sensor systems.
Ultimately, the DTO services developed within DIGI4ECO are designed to support the expansion of datasets, the deployment of new marine observatories, and evolving monitoring requirements driven by international policies and directives.
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