The course is designed for professionals (engineers and scientists) active in the water sector, especially those involved in using simulation models for water management.
PrerequisitesIt is expected that participants have good computer skills.
Dates, Fee, ECTS
Start: 14 September 2020
End: 25 September 2020
Deadline IHE application: 13 August 2020 - 23.59 (CET)
Course fee: € 1940
Start: 13 September 2021
End: 24 September 2021
Deadline IHE application: 12 August 2021 - 23.59 (CET)
Course fee: € 1940
VAT is not included in the course fee
- georeference a scanned map
- digitize vector layers from scanned maps
- delineate catchments and streams from digital elevation models
- find and use open data from the internet
- apply map algebra for spatial planning
- 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. 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. With the skills learned in the first week of this course you will be able to find open access GIS data and more efficiently process your data for your models using tools like QGIS, GDAL and Python.
Numerical modelling of spatial and temporal processes is of major importance in many studies of the natural and human environment. Computer simulation models help us to understand better the processes involved and can predict future changes. The second week of this course introduces model construction using the PCRaster Python modelling language. The modelling language has been developed to free the modeller from problems with data input and output and provides a large range of basic primitive operators at the level of understanding of the researcher.
It is expected that participants have good computer skills and basic knowledge of GIS.
- Introduction to Open Source software for GIS and hydrological modelling;
- Spatial Data Infrastructures for Open Access Water Data;
- Using QGIS to digitize vector layers from a scanned map;
- Using QGIS for importing tabular data into GIS, data correction and interpolation;
- Using QGIS for catchment and stream delineation;
- File conversions using GDAL and Python;
- Introduction to Python;
- Map algebra using PCRaster Python
- Dynamic modelling using PCRaster Python
- Interactive lectures;
- Computer exercises with open source -freely available- software only.