Remote sensing for agricultural water management - PyWaPOR training

The Food and Agriculture Organization of the United Nations (FAO) and the IHE-Delft Institute for Water Education held an in-person training on remote sensing for agricultural water management at IHE-Delft in the Netherlands from June 24 to July 5, 2024.

Twenty people from Palestine, Ethiopia, Egypt, Jordan, and Sudan took part in the training. The course aimed to teach participants how to produce and use high-resolution WaPOR data  (20m). 

Participants learned to use PyWaPOR, a Python implementation of the WaPOR methodology, to generate evapotranspiration, evaporation, transpiration, relative root zone soil moisture, and biomass data at 20m for an area of their interest. 

The participants also used the data to calculate crop water productivity and irrigation performance indicators for the same area. As countries involved in the project have asked for more high-resolution land and water data, participants can now generate such data for any area at any time and train others to do so.