AI4Copernicus organised tutorial at BIDS 2023 Conference
AI4Copernicus organised a half-day tutorial titled AI4Copernicus tools and methods for bridging AI and EO in the Big Data from Space 2023 – BIDS conference, held from 6 to 9 November 2023, in Vienna, Austria.
The tutorial was delivered on Monday 6 November 2023, 14.00-17.30 CET, in the context of the Satellite Events of the conference, and was presented on site by the AI4Copernicus colleagues: Antonis Troumpoukis (NCSR-D), Iraklis Klampanos (NCSR-D), Despina-Athanasia Pantazi (UoA), Omar Barrilero (SatCen), Giulio Weikmann (UNITN), Mohanad Albughdadi (ECMWF) and Vasileios Baousis (ECMWF).
In this tutorial we presented 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. The hands-on session took place on the CREODIAS infrastructure provided by partner CloudFerro and involved the application of AI techniques on available datasets.
Session 1: Background (90’)
- Welcome & Overview of the AI4Copernicus project (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’)
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’)
About BiDS 2023: Big Data from Space 2023 (BiDS) brings together key actors from industry, academia, EU entities and government to reveal user needs, exchange ideas and showcase latest technical solutions and applications touching all aspects of space and big data technologies. BiDS provides a premier opportunity for practitioners, researchers, and educators to present and discuss the most recent innovations, as well as practical challenges encountered in the context of big data from space.