Imagine trying to take a high-resolution photo of the ocean floor and water, but the camera is too blurry. This project creates a high-tech toolkit that combines DNA sampling from water, drone imagery, and satellite data to get a crystal-clear picture of sea life. It's like upgrading from a basic map to a live, detailed GPS for marine nature.
Traditional marine monitoring is slow, expensive, and lacks the detail needed for precise environmental policy and carbon credit verification.
A toolbox integrating eDNA, remote sensing, and AI to create biodiversity maps and indicators. It includes an IP catalogue of 40 specific technical assets.
If you are a consulting firm dealing with slow and expensive biodiversity surveys — this project developed a toolbox using eDNA and remote sensing that provides higher spatial and temporal resolution. This allows for faster, more accurate reporting on ecological status and fish biomass.
If you are a carbon credit developer dealing with uncertain carbon sequestration data — this project developed methods to assess C-burial rates in angiosperm habitats. This provides the necessary data for carbon offsetting and Nationally Determined Contributions.
If you are a hardware manufacturer dealing with a lack of validated use-cases for new sensors — this project tested recent sensors like PACE for detecting harmful algae blooms. This provides a proven application for high-tech optical instruments in real-world marine monitoring.
Based on available project data, no pricing or cost information for the developed toolbox is provided.
The project uses 12 Learning Sites across four European regional seas to evaluate the toolbox, suggesting a scalable model for different marine ecosystems.
The project has developed an IP catalogue currently containing 40 IPs, which are being co-developed and specified for use.
The tools are designed to support environmental and biodiversity policies, specifically the designation of an ecologically coherent MPA network.
The project period runs from 2022-12-01 to 2026-11-30, indicating it is currently in the development and testing phase.
The consortium is heavily research-oriented, consisting of 23 partners across 15 countries. With 16 research institutions and 5 universities, the technical expertise is high, but industrial participation is very low at only 1 company (4% industry ratio) and 2 SMEs. This suggests the output is currently a scientific tool rather than a commercial product.
Contact Aarhus Universitet (DK) for details on the IP catalogue.
Contact us to explore licensing opportunities for the 40 identified IPs.
