Remote sensing for agricultural water management - PyWaPOR training
05/07/2024
As part of the first WaPOR phase 2 project component, the generation of a water productivity database, and the second component, capacity development for stakeholders, the Food and Agriculture Organization of the United Nations (FAO), in collaboration with the project partner IHE Delft Institute for Water Education, conducted an intensive in-person training on remote sensing for agricultural water management at IHE Delft premises in the Netherlands from June 24 to July 5, 2024.
The training was attended by 20 participants from Palestine, Ethiopia, Egypt, Jordan, and Sudan. The course aimed to develop the participant's skills in the production of high resolution WaPOR data (20m) as well as its use. Participants were able to generate evapotranspiration, evaporation, transpiration, relative root zone soil moisture, and biomass data at 20m for an area of their interest using PyWaPOR, the python implementation of the WaPOR methodology. The participants also used the data to compute crop water productivity and irrigation performance indicators for this area.
With increasing demand from project countries for high-resolution land and water data for specific areas of interest, participants are now equipped with the knowledge and skills to generate such data for any area at any time and to train others in doing so.