QGIS for Hydrological Applications

The course introduces QGIS in a problem based learning approach that is centered around acquisition and (pre)processing of data for hydrological applications.

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2021 Edition Online

This course will be offered in an online/remote teaching format due to Covid-19 restrictions. The course's content and learning objectives will remain unchanged, while the duration may be extended. You can contact the course coordinator for more information about the new -temporary- format of the course.

For whom?

The course is designed for professionals (engineers and scientists) active in the water/environment sector, especially those involved in using simulation models for water management and GIS analysts.


It is expected that participants have good computer skills.

Dates, Fee, ECTS

Start: 04 October 2021
End: 08 October 2021
Deadline IHE application: 09 September 2021 - 23.59 (CET)
Course fee: € 355

Start: 19 September 2022
End: 23 September 2022
Deadline IHE application: 18 August 2022 - 23.59 (CET)
Course fee: € 1000

VAT is not included in the course fee

Learning objectives

Upon completion, the participant should be able to:
  1. georeference a scanned map
  2. digitize vector layers from scanned maps
  3. delineate catchments and streams from digital elevation models
  4. find and use open data from the internet
  5. apply map algebra for spatial planning
  6. design maps

For many studies models are used or developed. During modelling courses not much attention is paid to the preprocessing of input data and parameters needed for the models. With the skills learned in this course you will be able to find open access GIS data and more efficiently process your data for your hydrological applications using QGIS and its plugins. The course is taught by certified lecturers.


It is expected that participants have good computer skills.

Course content

  1. Introduction to Open Source software for GIS and hydrological modelling;
  2. Spatial Data Infrastructures for Open Access Water Data;
  3. Using QGIS to digitize vector layers from a scanned map;
  4. Using QGIS for importing tabular data into GIS, data correction and interpolation;
  5. Using QGIS for catchment and stream delineation;
  6. Data visualisation (2D/3D) and map design
  7. Mapathon for the Red Cross


Interactive lectures; Computer exercises usingopen source -freely available- software only.


  • Dr. Hans van der Kwast (IHE Delft)
  • Kurt Menke (Septima)


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