Monitor spatial and temporal trends in agricultural water productivity with WaPOR open data

Topic outline

• Introduction
  • Efficient use of water resources in the agricultural sector is critical for sustainable food production. Agriculture is by far the world’s largest water user and competition between water use sectors is increasing rapidly. At the same time, climate change and extreme weather events are impacting available water resources for food production, and unreliable rainfall and higher temperatures will increase crop water consumption. Agricultural water can be used more efficiently, but only if we know where to look.

    The FAO WaPOR portal provides open data and services for monitoring crop water productivity. In this workshop you will learn to:

    • Describe the components of the WaPOR database,

    • Acquire WaPOR data from the portal,

    • Extract and analyze biophysical variables from the WaPOR database,

    • Perform spatial analyzes using WaPOR data in QGIS and Python (Jupyter Notebooks),

    • Interpret results for monitoring spatial and temporal trends in crop water productivity.

    
    

• Overview of water productivity theory and tools
  Pages: 2

• Portals for WaPOR data
  Page: 1 Book: 1

• WaPOR QGIS plugins
  Page: 1 Book: 1

• API's for WaPOR data
  Page: 1 Books: 2

• Other resources
  URLs: 2