Imagine having a giant, real-time map that combines satellite photos, underwater sensors, and reports from local boaters to see exactly how pollution moves from rivers to the sea. It's like a weather app, but for plastic, carbon, and nutrients in the water. This helps cities and businesses predict floods or erosion before they happen.
Coastal managers lack a unified view of how land-based pollution and climate change affect the sea. Current data is fragmented between satellites, sensors, and manual reports, making it hard to predict risks like storm surges or plastic accumulation.
A system that merges satellite data, in-situ sensors, and citizen-collected data. It includes a common observation strategy and a network of Integration Labs for real-world testing.
If you are a marina operator dealing with plastic pollution and water quality issues — this project developed low-cost citizen-led monitoring tools that provide real-time data on pollutants. This allows for more efficient cleaning schedules and better environmental compliance.
If you are a consulting firm dealing with climate change adaptation for clients — this project developed integrated observation strategies for storm surges and coastal erosion. This enables more accurate risk modeling for shoreline properties.
If you are a water authority dealing with eutrophication and nutrient runoff — this project developed a way to link river-to-sea observations. This helps in identifying the exact sources of pollution to target mitigation efforts.
Based on available project data, the project focuses on the use of low-cost technology for citizen science, though specific pricing for commercial versions is not listed.
The project is currently piloting in Integration Labs across the Black, Aegean, Mediterranean, North, and Baltic Seas, as well as the Atlantic facade, suggesting a scalable model for diverse coastal regimes.
Based on available project data, the results are intended to be FAIR available via EMODnet, implying an open-access data approach rather than restrictive licensing.
It connects directly with Copernicus services, ESA, and the European Digital Twin of the Ocean to merge satellite imagery with ground-level sensor data.
The project period runs from 2024-02-01 to 2028-01-31, with deliverables produced throughout this window.
The consortium is research-heavy with 11 research organizations and 5 universities, but it maintains a significant industrial footprint with 5 industry partners and 6 SMEs (a 22% industry ratio). This balance suggests that while the primary goal is scientific discovery, there is a built-in mechanism for commercial validation and practical application through the SME participants.
Contact Stichting Deltares in the Netherlands
Contact us to connect with the LandSeaLot Integration Lab partners for pilot opportunities.
