Events

22nd on the EO AFRICA R&D Facility Webinar Series

22nd on the EO AFRICA R&D Facility Webinar Series

  • Combining optical and SAR data for mapping water bodies and floods | Wednesday, 15 October 2025, 14:00 CEST (UTC + 2) | Online webinar with live-chat | This webinar will discuss an approach for integrating Sentinel-2 (optical) and Sentinel-1 (SAR) water maps that was inspired by the Copernicus Global Flood Monitoring service, which combines flood likelihood maps from different SAR algorithms into an ensemble flood product.
Read more
5th on the EO AFRICA R&D Facility Second Phase Face to Face Courses

5th on the EO AFRICA R&D Facility Second Phase Face to Face Courses

  • Face to Face course on Cloud Computing and Algorithms for EO Analyses | December 1 – 5, 2025 | Tunis, Tunisia | A 5-day course (6h per day), covering Cloud Computing and big geospatial data concepts, interactive computing with Python through Jupyter Notebooks, and access to EO data from DIAS platforms or via dedicated Python libraries and handling the data on the Cloud.
Read more
19th on the EO AFRICA R&D Facility Webinar Series

19th on the EO AFRICA R&D Facility Webinar Series

  • Introduction to PolInSAR for agriculture monitoring and mapping | Wednesday, 26 March 2025, 14:00 CET (UTC + 1) | Online webinar with live-chat | This webinar introduces the fundamentals of PolInSAR technology and its possible applications in agriculture monitoring based on selected case studies in Africa. We will explore PolInSAR capabilities in estimating vegetation height and biomass, tracking phenological stages, and improving precision farming practices.
Read more
4th on the EO AFRICA R&D Facility Second Phase Online Courses

4th on the EO AFRICA R&D Facility Second Phase Online Courses

  • High-resolution crop monitoring for food security using EO | April 14 – May 9, 2025 | Online course with live-chat | The ever-increasing spatial resolution offered by the newest generation of satellite sensors allow us to monitor crops at the scale of individual parcels and to quantitatively estimate or predict agricultural production (area × yield) and water-use for applications in food security analysis.
Read more