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Publishing opportunity

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

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

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

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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Registration is open for Face to Face course on Parcel-based Crop Monitoring from Space

Registration is open for Face to Face course on Parcel-based Crop Monitoring from Space

  • Face to Face course on Parcel-based Crop Monitoring from Space | Date: January 22 – 26, 2024 | Université Cheikh Anta Diop de Dakar, Dakar, Senegal | Get ready to take part in this 5-day training with colleagues from all over the continent and learn how to tackle the challenges of Food Security by exploiting high resolution satellite observations to monitor crop production at individual field scale. The course consists of presentations and practical exercises in Python.
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