Imagine having a high-tech weather map that doesn't just show rain, but predicts exactly where water will overflow or disappear. It uses satellite eyes and AI to fill in the gaps where there are no ground sensors. This helps people in the most vulnerable parts of the world get a heads-up before a disaster hits.
One third of the global population lacks early warning systems for floods and droughts. Current hydrological simulations are inaccurate in regions where ground-based data is scarce.
An enhanced LISFLOOD hydrological engine, AI-based flash flood detection algorithms, and global drought forecast indicators.
If you are an insurance provider dealing with unpredictable crop losses in developing regions — this project developed global drought forecast indicators that allow for better anticipation of water shortages. This reduces payout uncertainty by providing more reliable risk data.
If you are a logistics firm dealing with disrupted transport routes due to sudden flooding — this project developed a new global flash flood forecast product. This allows for rerouting assets before high-impact events occur.
If you are a power company dealing with fluctuating water levels affecting energy output — this project developed enhanced hydrological simulations. This helps in predicting water availability for energy production more accurately.
Based on available project data, pricing is not mentioned as the project focuses on improving the Copernicus Emergency Management Service (CEMS) public infrastructure.
Yes, the project is designed to be domain-agnostic and applicable to both European and Global domains, specifically targeting the global south.
Based on available project data, specific licensing terms are not provided, but the work integrates into the CEMS Hydrological Forecasting Modelling Chain.
It integrates EO and non-EO data directly into the near real-time hydrological processing chain, specifically enhancing the LISFLOOD core engine.
The project period runs from 2024-01-01 to 2026-12-31.
The consortium is well-balanced for technology transfer, featuring 9 partners across 7 countries. With a 33% industry ratio (3 companies, including 3 SMEs), there is a strong bridge between the 5 research entities and the 1 university, ensuring that the scientific enhancements to the LISFLOOD engine are grounded in commercial and operational utility.
Contact MAGELLIUM SAS in France for technical integration queries.
Contact us to find out how to integrate SEED-FD's global flood indicators into your risk management software.
