Advances in AI technologies and data analytics in Big Observation Data Assets (Workshop 3.4)
SESSION DESCRIPTION
Earth Observation has become crucial in improving our understanding of the environment and for taking better informed decisions for a sustainable development, at all scales. Yet, to full exploit the significant Big Data resource that EO provides, data analytics and artificial intelligence techniques must be employed in extracting relevant information for science and society. This session is focused on highlighting relevant initiatives, looking at the state-of-the art AI technologies and data analytics for EO, with advantages and existing limitations, and discussing future developments.
AGENDA
1.Artificial Intelligence Techniques for Big Earth Observation Data.
- Manolis Koubarakis, University of Athens
2. Machine Learning for Earth Observation initiative.
- Florin Șerban, Terrasigna
3. AI in EO.
- Leslie Gale & Ilias Gialampoukidis, SpaceApplications & Centre of Research & Technology – Hellas
4. Extreme Earth Analytics.
- Manolis Koubarakis, University of Athens
5. AI4EU project (H2020 ICT26): A European AI On-Demand Platform and Ecosystem.
- Philippe Mouttou, Thales France
6. Scalable EO big data analytics and cloud platform services for the forecast of species habitats in a changing climate.
Z. Sabeur, G. Correndo, G. Newman, G. Veres and B. Arbab-Zavar
Presenting: Zoheir Sabeur University of Southampton, School of Electronics and Computer Science, United Kingdom
