Half-day tutorial in BiDS 2023

At a glance

What: Half-day tutorial with hands-on session
When: Monday, November 6, 2023 at 14.00-17.30 CET
Where: Austria Center Vienna, Room 0.97, Vienna, Austria

Material

Tutorial Companion

AI4Copernicus BiDS2023 Tutorial Companion

Presentations

The AI4Copernicus Project Overview
Assessment of Natural Hazards: Challenge and the Security Bootstrapping Service
Crop Type Classification: Challenge Description and the Agriculture Bootstrapping Service
Semantic and Linked Data Tools for Geospatial and Earth Observation Data

Description

Artificial Intelligence (AI) represents a collection of tools and methodologies that have the potential of transforming virtually all aspects of human activity. Earth observation (EO) data, including satellite and in-situ, are essential for a number of applications, covering high-impact domains as diverse as security, agriculture and health. The H2020 AI4Copernicus project delivers a technological framework for developers and businesses to combine AI-infused tools and EO data and services in order to create high impact applications. This is further facilitated by providing a bridge between DIAS platforms and the European AI-on-Demand platform.

This tutorial will present the main technological assets AI4Copernicus brings to the table as well as its methodology and tools for linking the DIAS and AI-on-Demand platforms, through appropriately selected use-cases during a hands-on session. Indicatively, technological assets AI4Copernicus contributes to the community include the following: Sentinel-1 and Sentinel-2 pre-processing chains, Deep network for pixel-level classification of S2 patches, Probabilistic downscaling of CAMS air quality model data, and many others. In addition, AI4Copernicus contributed semantics-based tools for visualisation and discovery of complex EO data. More information can be found in the AI4Copernicus Technical Documentation.

The choice of the use cases for the hands-on applications will come from AI4Copernicus’ rich collaborations with 3rd parties who specialise in EO applications in the fields of Security, Health, Agriculture, Climate and others, and will be consolidated nearer the time of the tutorial.

This tutorial will target EO and AI specialists and will require little IT technical background. The hands-on session will take place on the CREODIAS infrastructure and will involve the application of AI techniques on available datasets.

Agenda

Session 1: Background (90’)

• Welcome & Introduction to the AI4Copernicus project (Technological Framework, Tools, and Services) (20’)
• Assessment of Impact of Natural Hazards: Challenge Description and the Security Bootstrapping Service (20’)
• Crop Type Classification: Challenge Description and the Agriculture Bootstrapping Service (20’)
• Semantic and Linked Data Tools for Geospatial and Earth Observation Data (20’)
• Q&A and Initial discussion (10’)

Break (30’)

Session 2: Hands-on (90’)

• Scenario 1: Assessment of impact of natural hazard (Hands-on session, 40’)
• Scenario 2: Crop type classification (Hands-on session, 40’)
• Closing Discussion & Feedback (10’)

Registration

To register, visit the BiDS registration page and register as participant to the “AI4Copernicus tools and methods for bridging AI and EO” event in Group 3.

On-site instructors

• Antonis Troumpoukis, NCSR-Demokritos
• Despina-Athanasia Pantazi, National and Kapodistrian University of Athens
• Omar Barrilero, European Union Satellite Centre
• Giulio Weikmann, University of Trento
• Iraklis Klampanos, NCSR-Demokritos

Contributors

• Jacek Tokarski, CloudFerro
• Łukasz Mickaniewski, CloudFerro
• Lorenzo Bruzzone, University of Trento
• Michele Lazzarini, European Union Satellite Centre
• Mohanad Albughdadi, ECMWF
• Vasileios Baousis, ECMWF
• George Stamoulis, National and Kapodistrian University of Athens
• Manolis Koubarakis, National and Kapodistrian University of Athens

References

• Antonis Troumpoukis, Iraklis Klampanos, Despina-Athanasia Pantazi, Eleni Tsalapati, Mohanad Albughdadi, Mihai Alexe, Vasileios Baousis, Omar Barrilero, Bryce Billière, Alexandra Bojor, Pedro Branco, Lorenzo Bruzzone, Andreina Chietera, Philippe Fournand, Richard Hall, David Hassan, Michele Lazzarini, Adrian Luna, Dharmen Punjani, George Stamoulis, Giulio Weikmann, Marcin Ziółkowski, Xenia Ziouvelou, Manolis Koubarakis and Vangelis Karkaletsis, “Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation”, 2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService), Athens, Greece, 2023, pp. 9-16, doi: 10.1109/BigDataService58306.2023.00008. URL: https://ieeexplore.ieee.org/document/10233924

Acknowledgement

This workshop is partially supported by the EC H2020 project AI4Copernicus, grant agreement No. 101016798.