06-27, 09:00–13:00 (Europe/Tirane), UBT C / N109 - Second Floor
Use remote sensing derived open data and services provided by the FAO WaPOR portal to monitor crop water productivity trends to produce more crop per drop for sustainable food production.
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:
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Describe the components of the WaPOR database,
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Acquire WaPOR data from the portal,
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Extract and analyze biophysical variables from the WaPOR database,
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Perform spatial analyzes using WaPOR data in QGIS and Python (Jupyter Notebooks),
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Interpret results for monitoring spatial and temporal trends in crop water productivity.
As an Associate Professor in Open Science & Digital Innovation at IHE Delft Institute for Water Education I actively promote the use of open source tools by young water professionals. Through the GIS OpenCourseWare platform and my YouTube channel I share free tutorials. I am a board member of the QGIS NL and have my own consultancy QWAST-GIS. I co-authored the book QGIS for Hydrological Applications with Locate Press.