Section outline

  • lecture slides

    Hello, my name is Egor Prikaziuk and I am happy to welcome you to the Crop Water Productivity course.

    In the Course description, you can find the general background of the topic.

    See How to self-enrol instructions to get access to all the content and quizzes.

    Upon completing the course you will be able to :

    1. Explain the link between crop yield and crop water demand (reading, lecture)
    2. Link the components of CWP (plant productivity, evapotranspiration) with the respective EO-based modelling techniques (reading, lecture)
    3. Calculate crop yield from EO-based gross primary productivity (GPP) estimates (exercise, Excel, Python)
    4. Identify phenological metrics (start, end of the growing season) from EO data (exercise, Excel, Python)
    5. Produce meaningful, growing season-related estimates of CWP (exercise, Python, WaPOR)
    6. Conclude on the efficiency of the water management scheme in the study area (case study)

    We are going to be using the FAO portal to monitor Water Productivity through Open access of Remotely sensed derived data (WaPOR). 

    How is the course content organized: 
    The content in this course is organized based on learning objectives. Simply click through the modules to complete the course material at your own pace. 
    Please, use the Q&A forum for questions and discussions

    Course workload: 10 hours

    Reference reading: WaPOR v2 methodology

    Acknowledgements

    This HE Teaching Material was supported by the EGU Higher Education Teaching Material Grant 2023

    Suhyb Salama, UT-ITC associate professor at the water resources department, helped with the course description 
    Gianluca Ambrosi and Laura Cray, UT-ITC e-learning specialists, helped with setting up the Moodle LMS

    Copyrights
    CC-BY4 license logoThe materials are distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). Free to share and adapt but with attribution.

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