CALLISTO
CALLISTO aims to bridge the gap between Copernicus Data and Information Access Services (DIAS) providers and application end users through dedicated Artificial Intelligence (AI) solutions. It will provide an interoperable Big Data platform integrating Earth Observation (EO) data with crowdsourced and geo-referenced data and observations from Unmanned Aerial Vehicles. CALLISTO will be pilot-tested in real environments, providing geolocation-based services in applications relevant to agricultural policymaking, water management, journalism and border security.
Technologies
Artificial Intelligence
Machine Learning, Deep Learning, etc
Distributed computing
High Performance Computing
for the application of AI-based techniques
Νeural network-based methods
for detecting & predicting behavior patterns
Unmanned Aerial Vehicles (UAVs)
Computer vision using UAVs and alert-driven UAVs path planning
Data Fusion
Using satellite data, Galileo/GNSS data, Web and social media data, and in-situ hyperspectral measurements
Semantic Image Segmentation & Ontologies
Formal representation of interlinked data in the form of self-descriptive, machine-readable data resources in graph structure
About CALLISTO
Partners
Countries
EU contribution
Months
Pilot implementations
The services of CALLISTO will be tested in four real-life cases that are driven by the needs of:
CAP monitoring
Virtual monitoring of the implementation of the Common Agricultural Policy (CAP) obligations
Water quality assessment
Virtual presence in water resources for water quality assessment using EO and in-situ data
Satellite journalism
Expanding the use of satellite imagery and data from sensors for journalistic research and verification
Land border change detection
Improving the existing approaches and increasing the value of the current Border Surveillance Services