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. The curriculum combines theoretical lectures with practical assignments related to data processing for specific use cases. Participants engage with a variety of resources, including short videos, webinars, presentations, reading materials, and reference articles. Mandatory quizzes based on the lectures ensure successful completion of the training, and the issuance of a certificate provided by EO AFRICA R&D Facility.

The ever-increasing spatial resolution offered by the newest generation of satellite sensors allow us to monitor at the scale of an individual parcels and to quantitatively estimate or predict agricultural production (area × yield) and water-use for applications in food security analysis. This course will provide/present participants with (i) the most relevant data sources and data analysis techniques related to parcel-based crop monitoring and crop yield estimation; (ii) knowledge on the primary plant functions photosynthesis and evapotranspiration in the context of the surface energy balance with the aim to build EO-based methods from the ground up; and (3) practical assignments that employ Sentinel-2 and Landsat-9 image data to estimate the fraction of photosynthetically available radiation and land surface temperature as proxies for agricultural production and water-use, respectively.

This online course offers an introduction to the fundamental principles and techniques of Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR). Designed as a foundation for those interested in more advanced PolInSAR applications, the course begins with a refresher on SAR remote sensing principles and SAR image interpretation. Participants will build essential knowledge in radar polarimetry and interferometry, and learn how these two approaches combine to form the PolInSAR technique.