Author: eoafrica.rd@gmail.com

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.
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18th on the EO AFRICA R&D Facility Webinar Series

18th on the EO AFRICA R&D Facility Webinar Series

  • Mapping Our Planet in High Resolution: Advancing Land Cover and Degradation Monitoring with Sentinel Data | Wednesday, 5 February 2025, 14:00 CET (UTC + 1) | Online webinar with live-chat | This webinar explores how these innovations, coupled with emerging datasets and services, are being utilized to monitor global land cover and land degradation, supporting sustainable development and environmental conservation. Specifically, the webinar will delve into experiences of producing the 100m Copernicus Global Land Cover dataset (available for 2015–2019), the European Space Agency (ESA) WorldCover Project, which has further advanced land cover monitoring by producing 10m resolution global land cover maps, and the new Copernicus Land Cover and Tropical Forest Monitoring Service (LCFM), designed to provide dynamic, high-resolution datasets on the status and changes of global land cover and pan-tropical forests.
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2nd on the EO AFRICA R&D Facility Second Phase Face to Face Courses

2nd 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 | March 10 – 14, 2025 | Abidjan, Côte d’Ivoire | 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.
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