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EOPEN · Project

One Platform to Merge Satellite, Weather, and Social Data for Faster Flood and Crop Alerts

environmentPilotedTRL 7

Imagine you're trying to predict a flood or check how crops are doing across a whole region. Right now you'd need to pull satellite images from one place, weather data from another, and local reports from yet another — and somehow stitch them together yourself. EOPEN built a single platform that automatically combines all those data streams, runs them through smart algorithms on supercomputers, and spits out clear visual alerts in real time. Think of it like a Google Maps for environmental risk, except it also reads social media chatter and weather feeds to give you the full picture before disaster strikes.

By the numbers
9
consortium partners contributing technology and domain expertise
6
countries represented in the consortium (BE, DE, EL, FI, IT, KR)
3
real use case demonstration scenarios (flood, food security, climate)
26
total deliverables produced across all work packages
EUR 1,999,500
EU contribution for platform development
44%
industry ratio in the consortium
The business problem

What needed solving

Companies and agencies responsible for flood risk, food security, or climate monitoring currently juggle disconnected data sources — satellite imagery from one provider, weather data from another, local reports from a third — with no unified way to fuse and analyze them in real time. This fragmentation means slower response times, missed early warnings, and expensive manual data integration that often arrives too late to prevent damage or losses.

The solution

What was built

EOPEN built an open, interoperable platform that fuses Copernicus satellite data with weather, environmental, and social media information into a single real-time dashboard. Concrete outputs include: linked open Earth Observation data with semantic mappings (D5.3), change and event detection algorithms running on HPC infrastructure (D4.4), semantic reasoning tools for automated decision support (D5.2), data clustering methods for mixed EO and non-EO data (D4.2), and a fully validated system demonstrated in 3 real-world pilot scenarios (D7.4).

Audience

Who needs this

Property and catastrophe insurance companies needing real-time flood exposure dataNational civil protection and emergency management agenciesAgricultural cooperatives and food supply chain operators monitoring crop conditionsEnvironmental consulting firms serving industrial clients with compliance monitoringUtility companies managing infrastructure in flood-prone areas
Business applications

Who can put this to work

Insurance & Reinsurance
enterprise
Target: Property and catastrophe insurers needing flood exposure data

If you are a property insurer dealing with rising flood claims and inaccurate risk maps — this project developed a platform that fuses Copernicus satellite imagery with weather and social media data to detect flood events in real time. It was demonstrated in actual flood risk monitoring pilots across 6 countries. Instead of relying on outdated flood zone maps, you get live change-detection alerts that can feed directly into your underwriting and claims workflows.

Agri-Food & Precision Farming
mid-size
Target: Large agricultural cooperatives and food supply chain operators

If you are an agri-food company struggling to monitor crop health across large regions — this project built data clustering and semantic reasoning tools that combine satellite remote sensing with environmental and weather information for food security monitoring. The platform was piloted with real use cases and delivers user-friendly visualizations. With 9 consortium partners contributing expertise in big data and remote sensing, the system was designed to scale beyond research.

Civil Protection & Emergency Management
enterprise
Target: National and regional disaster management agencies

If you are a civil protection agency that needs early warnings before floods overwhelm communities — this project created event detection and community detection techniques that scan social media, weather feeds, and satellite data simultaneously. The final system was validated through field demonstrations in flood risk monitoring, producing real-time early warning notifications. The platform runs on high-performance computing infrastructure to handle the massive data streams involved.

Frequently asked

Quick answers

What would it cost to license or deploy this platform?

The project received EUR 1,999,500 in EU funding and was coordinated by SERCO Italia, a large IT services company. Pricing for commercial access is not published in the project data. You would need to contact the coordinator or individual technology partners for licensing terms.

Can this handle data at industrial scale — millions of satellite images and feeds?

Yes, the platform was specifically built on High Performance Computing (HPC) infrastructure using open-source, scalable algorithms for change detection, event detection, and data clustering. It was designed to process large streams of Copernicus big data fused with weather, environmental, and social media information in real time.

Who owns the IP and can I get a license?

The consortium of 9 partners across 6 countries developed the technology under an EU Research and Innovation Action (RIA). IP is typically shared among consortium members under the Horizon 2020 grant agreement. SERCO Italia as coordinator would be the first point of contact for licensing discussions.

Was this actually tested in real conditions or just a lab demo?

The platform was demonstrated in real use case scenarios covering flood risk monitoring, food security, and climate change monitoring. Deliverable D7.4 documents the final field demonstrations and includes deployment validation for each pilot, along with recommendations from the pilot sites.

How does this integrate with existing systems we already use?

EOPEN was built around interoperability — it uses linked open data standards and semantic reasoning to connect with existing Earth Observation data distributors including Copernicus systems. The platform provides R2RML mapping definitions for metadata compatibility and open APIs for data access.

Is the platform still maintained after the project ended in 2020?

The project closed in October 2020. Based on available project data, there is no information about ongoing commercial maintenance. However, SERCO Italia is an established company with long-term contracts in the space and Earth observation sector, so commercial continuity discussions are worth pursuing.

Consortium

Who built it

The EOPEN consortium brings together 9 partners from 6 countries, with a 44% industry ratio — a strong signal that this was built with deployment in mind, not just academic publishing. SERCO Italia, the coordinator, is a major IT services company with deep roots in EU space programs and satellite operations, which gives the platform credibility in Earth observation circles. The consortium includes 3 research organizations and 1 university providing scientific depth, while 4 industry players ensured the technology was built to real-world specifications. The international spread (Belgium, Germany, Greece, Finland, Italy, South Korea) means the platform was tested across different geographies and regulatory environments. Only 1 SME participated, suggesting the technology is complex enough to require enterprise-level resources for deployment.

How to reach the team

SERCO Italia SPA is the coordinator — a large Italian IT services company active in EU space and Earth observation programs. Contact their innovation or business development department.

Next steps

Talk to the team behind this work.

SciTransfer can connect you directly with the EOPEN technology team and help you evaluate whether this platform fits your environmental monitoring or risk assessment needs. We handle the introduction so you can skip the cold outreach.

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