Imagine trying to read a giant library where the books are written in a secret code and scattered everywhere. This project builds a smart digital assistant that organizes that information and translates it into easy-to-understand 3D maps and visuals. It turns complex satellite data into a clear picture that anyone can use to make decisions about the planet.
Massive amounts of satellite data are available but remain unused because they are too complex for non-experts to find, understand, or process.
An ecosystem featuring AI-driven data labeling, 3D VR/AR user interfaces, and serverless processing tools to make Earth Observation data accessible.
If you are a precision farming consultancy dealing with soil erosion and crop pests — this project developed AI-driven data mapping and VR interfaces that allow you to visualize land degradation and pest spread in 3D for better field management.
If you are a shipping firm dealing with inefficient sea route planning — this project developed data fusion techniques and interactive visualizations that help you optimize paths based on real-time ocean monitoring data.
If you are a health agency dealing with the impact of environmental factors on population health — this project developed semantic knowledge graphs that link satellite observations to personalized health care data for better risk assessment.
Based on available project data, specific pricing or cost models are not mentioned; the project focuses on providing tools and methodologies to increase data accessibility.
Yes, the project leverages European Cloud and HPC infrastructures and uses serverless processing to ensure the system can handle large volumes of data.
Based on available project data, the IP and licensing terms are not specified, though it aims to promote the exploitation of EU services like Copernicus and Destination Earth.
It uses Machine Learning for semantic annotation and knowledge graphs to bridge different data sources into a unified approach, including INSPIRE and GEOSS.
The project period runs from 2022-06-01 to 2025-11-30, indicating it is currently in the development and piloting phase.
The consortium is heavily weighted toward commercial application, with 9 industry partners (47% ratio) and 8 SMEs. This strong industrial presence, combined with 10 countries and 10 research/university entities, suggests the project is designed for market adoption rather than just academic study.
Contact the National and Kapodistrian University of Athens
Contact us to connect with the EO4EU consortium for pilot integration.
