Events

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 | January 20 – 24, 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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1st on the EO AFRICA R&D Facility Second Phase Face to Face Courses

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

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

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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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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14th on the EO AFRICA R&D Facility Webinar Series

14th on the EO AFRICA R&D Facility Webinar Series

  • Crop mapping in Zankalon, Egypt using different ML classifiers in Python | December 6, 2023, 14:00 CET (GMT+1) | Online webinar with live-chat | In this webinar the introduction and overview of the machine learning algorithms and classifiers will be provided with a special focus on supervised ML methods such as: Random Forest, Support Vector Machines and unsupervised ML methods such as K-means.
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