Open Source Software for Preprocessing GIS Data for Hydrological Models

The course introduces acquisition and preprocessing of data for modelling using open source GIS and spatial analysis tools. 

Apply now for

2018

For whom?

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

Dates, Fee, ECTS

Start: 17 September 2018
End: 21 September 2018
Deadline IHE application: 16 August 2018 - 23.59 (CET)
Course fee: € 950

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 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.

Prerequisites

It is expected that participants have good computer skills and basic knowledge of GIS.

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. File conversions using GDAL and Python.

Methods

  • Interactive lectures;
  • Computer exercises using Open Source –freely available- software only.

Lecturer