• Welcome

      This training provides mostly an online technical training on WP and IPA assessments for Meat Yazid area located in the Nile Delta using FAO’s ‎WaPOR data, as well as diagnostic analyses using other remote sensing information to identify the causes of yield and water productivity variations. The training will cover:

      • Introduction to WaPOR data and python programming: Training participants to use WaPOR data to map key water indicators such as precipitation, evapotranspiration, and land productivity on a seasonal basis for individual fields, using python programming.
      • Data Validation: Participants will learn to validate remote sensing data (e.g., evapotranspiration, rainfall and groundwater use) against field data.
      • Water Productivity Assessments: Training participants to use WaPOR data to map key water indicators such as precipitation, evapotranspiration, and land productivity on a seasonal basis for individual fields. Calculate various remote sensing derived indicators for diagnostic analyses.
      • Optional: Training on co-developing and maintaining an interactive dashboard that integrates data visualizations, including maps and time-series graphs, for stakeholders to monitor water and land productivity.

      The aim is to empower local stakeholders to independently access WaPOR data, run analyses, update data and visualise the results.

      Expected Implementation: May 2025 to October 2025 

      Location: Online

      Trainer: Dr. Ahmed El-Naggar, Solomon Seyoum, Suzan Dehati and Marloes Mul – IHE Delft Institute for Water Education

      Links to the online courses: