Events/News

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 – 15, 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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17th on the EO AFRICA R&D Facility Webinar Series

  • Advances in EO Cloud Computing: OpenEO | Wednesday, 4 December 2024, 14:00 CET (UTC+1) | Online webinar with live-chat | This webinar explores the growing role of cloud computing in analyzing and processing Earth Observation (EO) data, with a primary focus on OpenEO. OpenEO is a relatively new and innovative initiative to connect to EO cloud back-ends in a simple and unified way.
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African Research Fellowships: Call 2024/2025

We are pleased to announce the 2024-2025 AUC-ESA call that will offer 1-year fellowships to 4 new African Researchers to work at the ESA-ESRIN premises in Frascati (Rome, Italy) in synergy with ESA projects and scientists. More information here: https://eo4society.esa.int/2024/09/23/african-research-fellowships-call-2024-2025/

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1st on the EO AFRICA R&D Facility Second Phase Face to Face Courses

  • Face to Face course on Cloud-based EO image analysis for monitoring surface water dynamics | October 21 – 25, 2024 | Maseru, Lesotho | Introduction to cloud-based image analysis techniques for monitoring surface water dynamics with use of EO data. It will cover general concepts of radar and optical remote sensing, how those instruments interact with water surface and which information they can provide.
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16th on the EO AFRICA R&D Facility Webinar Series

  • Flood extent assessment in East Africa with Sentinel-2 data | Wednesday, 11 September 2024 15:00 CEST (GMT+2) | Online webinar with live-chat | In this webinar we’ll utilize commonly used methods to assess the extent of selected flooded area in East Africa. Presented techniques will include calculation of water radiometric indices from optical Sentinel-2 bands (e.g. MNDWI, NDWI2, SWM) to assess the water extent and change detection in selected area.
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1st on the EO AFRICA R&D Facility Second Phase Online Courses

  • Principles of and advances in Earth Observation | September 16 – October 11, 2024 | Online course with live-chat | This online course equips participants with fundamental knowledge in Earth Observation (EO) to enhance their understanding and utilization of EO data. The course primarily focuses on optical data, exploring their advantages and limitations. Additionally, active remote sensing concepts are introduced.
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Publishing opportunity

For publishing Africa-oriented EO research results, we are editing a special issue of the International Journal of Applied Earth Observation and Geoinformation: African EO Challenges and Solutions in Water Scarcity and Food Security – Mapping the Environment We encourage our

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New research gap survey

To support the development of the roadmap of the EO AFRICA R&D Facility for 2024-2026 We launched a questionnaire in 2021, which helped define the user needs of the African EO community. Our scientific field is developing very quickly, so

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15th on the EO AFRICA R&D Facility Webinar Series

  • Accessing cloud services using openEO and additional data processing capabilities offered by ILWISPy | Tuesday, 9 January, 2024, 11:00 CET (GMT+1) | Online webinar with live-chat | This webinar starts with the use of the Innovation Lab in conjunction with openEO / ILWISPy to access and process also data obtained from other cloud based data repositories.
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10th on the EO AFRICA R&D Facility Online Courses

  • Surface Flood Modelling Supported by Cloud-Based RS & GIS | January 29 – February 23, 2024 | Online course with live-chat | Optical imagery supports a more natural identification of water bodies and digital elevation models add to the identification of potential flood areas. This course will review all these concepts and add a foundational but complete layer on surface water modelling using a full 2D version of HECRAS free software.
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