Copernicus Artificial Intelligence Services and data fusion with other distributed data sources and processing at the edge to support DIAS and HPC infrastructures

CALLISTO aims to bridge the gap between the Data and Information Access Services (DIAS), platforms provided by the European Union’s Earth Observation programme Copernicus, and the users of the Copernicus data through dedicated Artificial Intelligence solutions.

CALLISTO has the ambition to enable virtual presence and situational awareness in any desired area of interest, through Virtual, Augmented and Mixed Reality solutions. To this purpose, Earth Observation data from ONDA DIAS are combined with data from heterogeneous distributed sources (including crowdsourced data, videos from Unmanned Aerial Vehicles and data from in situ sensors) through machine learning and data fusion technologies; the outcomes are semantically-enriched and served to the public in interactive interfaces, mobile and Mixed Reality apps, creating a novel and innovative immersive environment for the Copernicus market.

CALLISTO will be pilot tested in different operational environments, specifically in 1) monitoring the implementation of the Common Agricultural Policy, delivered by the National Observatory of Athens; 2) water quality assessment in water basins, delivered by De Watergroep and SMAT Group; 3) sensor journalism, delivered by Deutsche Welle; and 4) land border change detection, delivered by the European Union Satellite Centre.

Role of DRAXIS:

DRAXIS role in CALLISTO is four-fold: development of an air pollution forecasting methodology based on Artificial Intelligence techniques; delivery of a Business Intelligence tool for air quality assessment by journalists of Deutsche Welle; development of a mobile application for assessment of farmers’ compliance with the Common Agricultural Policy; lead of the overall dissemination and communication activities of the project.

This project is funded by the H2020 Framework Programme of the European Union