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 deriving from the Data and Information Access Services (DIAS) with crowdsourced, geo-referenced and distributed data from various sources. All data will be served in Mixed Reality environments.
CALLISTO will be pilot-tested in real environment, providing geo-location based services in applications relevant to policymaking, water management, journalism and border security.
The main objectives of CALLISTO are to:
Integrate with Copernicus data already indexed on DIAS platforms using High-performance computing (HPC) infrastructure for enhanced scalability
Complement the available data with Galileo signals from a mobile application and video recording on Unmanned Aerial Vehicles (UAVs), web and social media data linking them with open geospatial data, and in-situ sensor data
Ensure availability and the quality of annotated datasets using clustering techniques and Generative Adversarial Networks (GANs)
Generate Mixed Reality visual content through the development of 3D-models constructed from satellite data
Retrieve additional in-situ information from geo-referenced video content to validate and further enrich the outcomes of the Deep Learning analysis of Copernicus imagery
Develop and optimize air quality forecasting with Machine Learning techniques using HPC infrastructure
Use ontologies to extract Named Entities from textual content that is present in crowdsourced information, so as to be linked with EO data
Do you know what AI stands for?
Artificial intelligence (AI) is a computer science concerned with building machines capable of performing tasks requiring human intelligence. It is already being implemented in our lives and is extensively entering the space sector to offer added value to Earth Observation (EO) products and services. AI methods can be applied to extract meaningful knowledge such as concepts, changes, activities, events, 3D-models, videos and animations of the user community, and can also be executed at the edge, offering enhanced scalability and timely services
Curious to know more about DIAS?
The European Union’s Earth Οbservation (ΕΟ) programme, Copernicus, provides data on a free, full and open basis. It has recently launched five cloud-based platforms, the Data and Information Access Services (DIAS), which facilitate access to Copernicus data and information and provide processing tools. Users are allowed to index, store and exchange tremendous amounts of Copernicus data and cloud infrastructure computational resources. Copernicus data and other geo-referenced data sources are often highly heterogeneous, distributed and semantically fragmented.
DIAS is constituted by these platforms: ONDA, CREODIAS, SOBLOO, MUNDI WEB SERVICES, WEKEO