New Open Courseware: Software for Preprocessing GIS Data for Hydrological Models

Submitted by Iban Ameztoy on 28 October, 2014 - 12:03



This week is the 7th International Open Access Week, a global event promoting Open Access as a new norm in scholarship and research. For the occasion UNESCO-IHE launches a new course on its Open Courseware (OCW) platform: Software for Preprocessing GIS Data for Hydrological Models. This course is the first in a series of Open Courseware that will be made available in the coming weeks in addition to the four already accessible OCW courses.


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. A lot of open source software is available for this purpose. Besides desktop tools with graphical user interfaces, scripting is very useful for processing large datasets and timeseries.


Part of the short course 'Open Source Software for Preprocessing GIS Data for Hydrological Models' is now freely available at our Open Courseware section.

With the skills learned in this course you will be able to more efficiently process your data and setup and improve your models. The exercises, developed by Hans van der Kwast, Lecturer in Ecohydrological Modelling at UNESCO-IHE, introduce the functionality offered by the most recent open source software that is freely available.


After this course you will be able to understand the basic concepts of GIS (raster, vector, projections, geospatial analysis)


You can use a GIS for:

  • Thematic mapping
  • Basic data processing and editing
  • Basic geoprocessing and analysis
  • DEM processing and catchment delineation
  • Find open source software and open data

UNESCO-IHE and Open Courseware

The demand for water education far exceeds the number of professionals that the Institute can train. In order to bridge this gap somewhat, UNESCO-IHE aims to make available all of its modules as Open Courseware by 2017.

Learn more about International Open Access Week