Fisheries and ocean data

Oceans and fisheries are increasingly monitored through data, for sustainability, trade and risk. This guide covers fisheries and ocean data and how to source it.

Why ocean data matters now

Sustainable fishing, marine protection and the blue economy all rely on data, from vessel activity to stock assessments and ocean conditions. Satellite and sensor data have widened what can be measured.

The fisheries and ocean data landscape

• Vessel activity: fishing-vessel movements (AIS-derived).
• Catch and stocks: landings and stock assessments.
• Oceanography: temperature, salinity, currents.
• Marine environment: biodiversity and protected areas.

Common use cases

Sustainability and compliance monitoring, supply-chain provenance for seafood, marine-risk and insurance, and research and conservation.

Sourcing considerations

Vessel data derives from AIS and needs processing; oceanographic data comes from EO, buoys and models. Stock data from authorities varies in coverage. Combining sources via consistent geospatial referencing is central.

Delivery and governance

Monitoring wants near-real-time feeds; analysis uses batches. Most data is non-personal. Provenance matters for sustainability and provenance claims.

In a managed model

A managed partner can combine vessel, catch and ocean data into a coherent marine dataset.

Combine vessel, catch and ocean

Sustainability and the blue economy drive demand for ocean data. Vessel activity is AIS-derived and needs processing; oceanographic data comes from EO, buoys and models; stock data from authorities varies in coverage. Combining on consistent geography is central.

Cadence and provenance

Monitoring wants near-real-time feeds while analysis uses batches; provenance matters for sustainability and provenance claims.

Sources & further reading

• Copernicus Marine Service and EO providers.
• EU Common Fisheries Policy and STECF data.
• FAO: fisheries and aquaculture statistics.
• Global fishing-activity monitoring initiatives.