Events

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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13th on the EO AFRICA R&D Facility Webinar Series

13th on the EO AFRICA R&D Facility Webinar Series

  • Parcel-based crop monitoring from space | Wednesday, 29 November, 2023, 14:00 CET (GMT+1) | Online webinar with live-chat | This webinar will provide insights into the possibilities, limitations and remaining challenges related to high-resolution crop monitoring. Together we will explore which information can be derived from these satellite observations, including parcel extent, crop type, phenology, biomass production and crop stress.
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12th on the EO AFRICA R&D Facility Webinar Series

12th on the EO AFRICA R&D Facility Webinar Series

  • Use of Remote Sensing to Insure against the Peril Drought | September 19, 2023, 14:00 CET | Online webinar with live-chat | The webinar will provide insights concerning the developed EO-based insurance model that utilizes NDVI-imagery to quantitatively assess occurring agronomic droughts. As a business model, since 2018, the Vegetation Index Crop Insurance (VICI) scheme is successfully in use by various Ethiopian organizations.
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Registration is open for Face to Face course on Soil Moisture and Inland Water Monitoring with Satellite Radar

Registration is open for Face to Face course on Soil Moisture and Inland Water Monitoring with Satellite Radar

  • Face to Face course on Soil Moisture and Inland Water Monitoring with Satellite Radar | October 16 – 20, 2023 | Dar es Salaam, Tanzania | This course is covering the general concepts of radar remote sensing, how radar/microwaves interact with soil and vegetation, soil moisture retrieval with satellite radar, and the concept of zenith radar altimetry.
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11th on the EO AFRICA R&D Facility Webinar Series

11th on the EO AFRICA R&D Facility Webinar Series

  • Surface Soil Moisture products at continental scale | June 13, 2023, 14:00 CET | Online webinar with live-chat | The webinar will give an overview of high-resolution (1 km) satellite soil moisture data sets available at continental to global scale. These data sets are either derived by downscaling coarse resolution data from passive (SMAP, SMOS, AMSR2) and active (ASCAT) microwave sensors using optical or Synthetic Aperture Radar (SAR) data, or by deriving the soil moisture data directly from only the SAR data.
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10th on the EO AFRICA R&D Facility Webinar Series

10th on the EO AFRICA R&D Facility Webinar Series

  • Drought Monitoring case studies in Africa | April 11, 2023, 14:00 CET | Online webinar with live-chat | The webinar will describe ways to monitor drought events using microwave Earth Observation data. Existing methods for the calculation of climate normals, anomalies and drought indicators will be described and demonstrated over Africa. The strength and weaknesses of the indicators and an evaluation with common drought indicators such as Standardized Precipitation Index will be discussed. Furthermore, the use of soil moisture for early season yield prediction will be discussed.
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