QGIS WaPOR

Optimize water management with QGIS and WaPOR data. Discover how to analyze water productivity, process satellite imagery, and apply spatial models to gain valuable insights. In this one-on-one course, you’ll work through online modules and hands-on sessions to master immediately applicable analysis techniques and work independently with QGIS and WaPOR data.

Introduction to QGIS WaPOR

WaPOR (Water Productivity Open-access Portal) from the Food and Agriculture Organization (FAO) provides satellite data on water use in agriculture. This is essential in areas with water scarcity. The data helps identify water loss, determine crop water requirements, and optimize irrigation.

QGIS is a free, open-source GIS program that allows you to visualize and analyze WaPOR data. This helps monitor drought stress, improve irrigation strategies, and increase agricultural production. By combining WaPOR and QGIS, farmers, researchers, and policymakers gain a powerful tool to use water more efficiently and implement sustainable agricultural practices.

What will you learn in the Blended Learning course?

In this course, you will learn to use WaPOR data in QGIS to analyze water productivity and spatial trends in agriculture. You will gain insight into the structure of the WaPOR database, including variables such as evaporation, transpiration, and crop production.

You will learn how to retrieve, download, and analyze WaPOR data via the FAO portal and how to visualize and edit it in QGIS. Additionally, you will learn to interpret variables to assess water consumption, crop growth, and irrigation efficiency.

You will also perform spatial analyses in QGIS and Python (Jupyter Notebooks). You will analyze time series to identify and predict trends in water use and agricultural productivity.

Upon completion, you will be able to work independently with WaPOR to improve water management, monitor drought stress, and implement more sustainable land use. This course is ideal for anyone involved in water management, remote sensing, and geospatial data analysis.

Why this 1-on-1 QGIS WaPOR course?

Blended learning combines independent online study with practical, interactive sessions, allowing you to gain both theoretical knowledge and hands-on experience with WaPOR and QGIS for water management and agricultural optimization. The online modules offer the flexibility to study at your own pace and include interactive lessons on spatial analysis, water productivity, and crop monitoring. You’ll learn to retrieve, edit, and analyze WaPOR data in QGIS and Python, and discover how to use geospatial data to improve irrigation management and optimize sustainable land use.

During the hands-on online sessions, you’ll immediately apply the knowledge you’ve gained. You’ll work with real satellite data and receive guidance from experienced specialists. You’ll learn to visualize water use and crop growth, optimize irrigation strategies, and identify spatial trends to make better-informed decisions.

Through the combination of flexible online learning and interactive hands-on experience, you will not only develop technical skills in WaPOR and QGIS, but also learn how to apply these tools in water management, agricultural monitoring, and spatial analysis. Upon completion of the course, you will be able to use advanced geospatial data to work more efficiently and sustainably within your field.

Enroll

€395,-
  • Start: 1-hour online session
  • Self-study: Review course materials
  • End: 1-hour online session
Register for this course

You’ll receive 1-on-1 guidance. After signing up, our course coordinator will contact you to schedule your first session.

Learning objectives

After completing this course, you will be able to:

  • Analyze WaPOR data using QGIS to visualize water use and crop productivity and identify spatial trends.
  • Perform geospatial analyses using QGIS tools, such as processing evaporation trends, irrigation data, and biomass yields.
  • Apply Python (Jupyter Notebooks) for data analysis to process WaPOR data, analyze time series, and develop statistical models.
  • Develop spatial models for water management and agriculture by combining WaPOR data with other geospatial layers, such as soil moisture maps and parcel boundaries.

Want to know more?

Do you have questions about the course content? Or are you unsure whether the course aligns with your learning goals or preferences? Would you prefer an in-house or private course? We’d be happy to help.