Python for Geospatial Hydrological Applications

In this course you'll learn an essential skill for researchers dealing with (spatial) data. With scripting you can better control your analysis using command line tools. You can also automate your procedures by writing batch scripts. Furthermore, you can process your data and make models using Python and its useful libraries.

Apply now for

20212022
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 sector, especially those involved in using simulation models for water management.

Prerequisites

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

Dates, Fee, ECTS

Start: 11 October 2021
End: 15 October 2021
Deadline IHE application: 10 September 2021 - 23.59 (CET)
Course fee: € 355

Start: 26 September 2022
End: 30 September 2022
Deadline IHE application: 25 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. Use scripting for GIS data processing
  2. Apply Map Algebra using PCRaster Python
  3. Use the PCRaster Python framework for environmental modelling
  4. Use libraries such as NumPy, Panda and Matplotlib

Computer simulation models help us to improve our understanding of processes in the natural and human environment and their interactions. Furthermore, these models can be used to predict future changes. This course will give you an introduction to constructing your own models using the PCRaster Python modelling language. With this modelling language, domain experts can build powerful models of spatial-temporal processes without having in depth knowledge of programming. PCRaster provides the building blocks at the level of understanding of the domain expert. During the lectures you will learn the concept of spatial-temporal GIS-based modelling. During the computer exercises you will develop practical modelling skills using the example models on snowmelt, forest fires and seed dispersal.

Prerequisites

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

Course content

In Module 1 you'll learn how to use the command line. That's an important skill needed for programming. You'll also learn how to use GDAL (Geospatial Data Abstraction Layer) from the command line to convert raster and vector formats and to reproject GIS files.

In Module 2 you'll learn the basics of the Python programming language. You'll learn this through a Jupyter Notebook.

Next, in module 3 you'll work with PCRaster for map algebra. You'll learn how to use map algebra to find accessible wells, to do spatial interpolations of borehole data and to derive streams and delineate a catchment from a digital elevation model.

Module 4 introduces you to the PCRaster Dynamic Modelling Framework that you can use to make spatial temporal models with Python. You'll work with the rainfall-runoff model STREAM in the tutorial. In the last module you'll learn more about PyQGIS, the Python library used in QGIS. You'll also learn how to use the QGIS operations with PyQGIS outside of the QGIS interface. In the modules is explained how to install the necessary software. We'll use QGIS and the Anaconda distribution. We'll work with several Python libraries in an environment that you'll learn to create.

Methods

  • Interactive lectures;
  • Computer exercises with open source -freely available- software only.

Lecturer

Share

Connect with us

Never miss a thing!