Artificial Inteligence, Sustainability, Sustainable Tourism
GEO4WATER
The GEO4WATER project is building a cross-border GeoData Space to help cities predict, monitor, and respond to water-related risks such as floods, storms, coastal impacts, and pollution
WebCOORDINATOR
San Javier City Council
COUNTRIES
Norway, Ireland and Spain
BUDGET
Total: 3.000.000 €
VIC: 2.000.000 €
European Data Space for Smart Communities (DS4SSCC-DEP)
LOGOS
Description
GEO4WATER is a clear example of what Data Spaces can achieve when interoperability, AI, geospatial intelligence, and smart city platforms come together.
The project is fully integrated with the European Data Space for Smart Communities (DS4SSCC), incorporating its reference architecture — MIMs, the Federated Catalogue, and the Universal Trusted Data Registry. GEO4Water connects cities in Spain, including Valencia and San Javier (Murcia), as well as Oslo (Norway) and Donegal (Ireland), to share geospatial, environmental, satellite, and IoT data for water risk management.
Municipalities, research institutions, IoT companies, and environmental agencies work together, demonstrating how data spaces can generate real-world impact.
The project enables the use of integrated geospatial, environmental, and meteorological data to help cities predict, monitor, and respond to water-related challenges through a shared and interoperable European Data Space.
Objectives
By connecting four cities across three countries and bringing together leading scientific, municipal, and technology partners, GEO4Water strengthens Europe’s capacity to:
✔️ Predict the impacts of extreme weather events
✔️ Protect ecosystems and coastal areas
✔️ Improve urban planning and emergency response
✔️ Build climate-resilient and sustainable communities
This is data-driven resilience in action — and a significant step towards the European Green Deal, the New European Bauhaus, and the objectives of the Climate Neutral and Smart Cities Mission.
Pilots in Valencia, San Javier, Oslo and Donegal
Using satellite imagery (Copernicus/Sentinel), digital twins, and IoT data, the project provides:
Urban Infrastructure Monitoring Service
Real-Time Storm Intelligence: Water levels, drainage status, rainfall intensity, sensor data, and forecasts during storm events.
Water Pollution Mapping Service
Detection of pollution in rivers, lakes, fjords, coastal areas, and wastewater systems — especially following extreme weather events.
Urban Resilience Assessment Service
Analysis of how green spaces, topography, biodiversity, and land use influence flood risk.
AI-Based Damage Assessment
Use of drones, aerial imagery, and satellite data to rapidly estimate flood damage to buildings and infrastructure.
Historical Extreme Weather Intelligence
Long-term records of storms, floods, and urban impacts to support climate adaptation strategies.