The goal is to fully exploit and optimise the use of satellite data, in synergy with in-situ and other data streams (models, etc.), to support the sustainable development of all Blue Economy activities.
Marine environments are vast, dynamic, and often difficult to monitor. In-situ surveys are expensive and time-consuming—especially in remote or high-energy offshore zones. Earth Observation data offers a scalable, cost-effective solution, delivering continuous, high-resolution coverage of key parameters like wave height, current speed, bathymetry, and salinity.
Deploying marine energy technologies can raise concerns about impacts on ecosystems, habitats, and water quality. EO data enables early identification of sensitive areas and ongoing environmental monitoring, from seafloor classification to water turbidity and chlorophyll concentrations.
From the EU Marine Spatial Planning (MSP) Directive to environmental impact regulations and the EU Taxonomy, MRE projects must navigate complex policy frameworks. EO-integrated MSP tools offer an objective, data-rich foundation to identify suitable zones, avoid exclusion areas, and ensure multi-use compatibility.
The future of offshore space lies in multi-use platforms—co-locating energy generation with aquaculture, fisheries, or conservation zones. EO data helps model interactions between activities, identify synergies, and monitor cumulative impacts in shared marine spaces.
Marine Renewable Energy (MRE) developers need a way to:
However, existing tools lack the spatial detail, flexibility, and sector-specific insights needed to support emerging technologies like wave, tidal, salinity gradient, and OTEC—especially in nearshore and dynamic environments.
Lifecycle Support
Marine Renewable
Energy Domains
DIOMEDEO brings together:
Multi-Use Marine Environments
Explore co-location opportunities for renewable energy and aquaculture.
Harnessing tidal energy requires precise knowledge of water movement, seafloor characteristics, and seasonal environmental shifts. Traditional data collection in remote estuaries or turbulent coastal zones is costly and often incomplete.
Through DIOMEDEO, Earth Observation (EO) data delivers high-resolution, near-real-time insights—mapping tidal current velocities, bathymetry, and sea surface height variations. These datasets support technology developers like ORPC and Magallanes in identifying optimal deployment sites, reducing risks, and enhancing co-location strategies with fisheries and maritime traffic.