Imagine having a high-tech weather map, but instead of rain, it shows where fish are, how pollution is moving, and how the seabed is changing. It combines satellite images with underwater sound and biological data to create a digital twin of the ocean. This helps us predict how climate change will shift marine life and where to protect nature.
Marine resource managers cannot currently use the latest scientific data to protect biodiversity or manage seafood resources. This gap leads to inefficient fisheries management and inadequate conservation efforts despite available satellite data.
A suite of 27 new operational products and data-processing chains that simulate fish, marine mammals, benthic habitats, and pollutants using machine learning and hyperspectral satellite data.
If you are a fleet operator dealing with unpredictable fish migrations and changing quotas — this project developed 27 new operational products that provide precise data on higher-trophic-levels like fish. This allows for more sustainable harvesting and better resource planning.
If you are a consultancy dealing with complex marine pollution reports — this project developed data-processing chains for pollution and benthic habitats. This enables you to provide clients with accurate projections of climate impacts on specific ecosystems.
If you are a regulator dealing with the need for science-based biodiversity quotas — this project developed ecosystem models integrated into the Copernicus Marine Service. This provides the technical capability to make informed decisions on the exploitation of marine services.
Based on available project data, the products are being integrated into the Copernicus Marine Service (CMEMS), but specific commercial pricing or subscription costs are not mentioned.
The project aims to demonstrate Technological Readiness Level 6, meaning the products are tested in a relevant environment through 13 case studies before being sustained in the CMEMS operational portfolio.
Based on available project data, the technical capabilities are being provided to CMEMS for their operational portfolio, but specific licensing terms for third parties are not detailed.
The project runs from 2023-01-01 to 2026-12-31, indicating a multi-year development and validation cycle before full operational delivery.
It uses machine-learning algorithms to fuse hyperspectral satellite data, acoustic, pollution, and omics data into existing Copernicus Marine Service models.
The consortium is heavily weighted toward research and academic expertise, with 12 research organizations and 4 universities. However, there is a significant industrial presence with 4 industry partners and 5 SMEs (17% industry ratio), ensuring that the 27 new products are developed with a view toward operational use within the Copernicus Marine Service.
Contact MERCATOR OCEAN in France for technical inquiries regarding CMEMS integration.
Contact us to find out how to integrate these 27 new Copernicus marine products into your business strategy.
