Build hydrological models using QGIS and PCRaster. In this one-on-one course, you’ll learn how to delineate watersheds, apply map algebra, and develop dynamic models with PCRaster. Through online modules and hands-on assignments, you’ll develop skills you can apply right away. Upon completion, you’ll be able to independently create and analyze hydrological and spatial models in GIS.
PCRaster is a powerful open-source GIS modeling tool, specifically developed for hydrological analysis and environmental modeling. It enables users to process spatial data, analyze hydrological patterns, and develop dynamic models for landscape and environmental processes.
In QGIS, PCRaster is used via the QGIS PCRaster Tools plugin to, among other things, define watersheds, simulate water flows, and perform spatial analyses. For more advanced applications, the PCRaster Dynamic Modeling Framework in Python offers an efficient method for modeling and simulating spatial processes over time.
This course guides you step by step through the use of PCRaster in QGIS, starting with the basics in the graphical interface and then delving deeper into Python scripting for advanced spatial analysis and modeling.
In this QGIS PCRaster Blended Learning course, you’ll learn how to use PCRaster for hydrological analysis, spatial modeling, and GIS workflows.
You’ll start with PCRaster in QGIS and learn to work with the QGIS PCRaster Tools plugin. With this, you’ll perform watershed delineations and runoff analyses and apply spatial calculations. You’ll learn how to find and download SRTM DEM tiles via EarthExplorer, merge raster layers into a virtual raster layer, reproject rasters, and create subsets. You’ll also discover how to fill sinks in a DEM, calculate and visualize flow directions, and apply Strahler orders for stream network analysis.
Next, you’ll get started with map algebra in Python and learn how to use PCRaster in Python for spatial calculations and interpolations. You’ll learn to convert raster data using GDAL in Python, style raster layers for clear visualization of water flows and drainage basins, and determine flows and drainage basins using PCRaster.
In the final part of the course, you’ll delve into dynamic modeling using the PCRaster Dynamic Modeling Framework. You’ll learn how to use PCRaster Dynamic Modeling concepts and data formats to simulate spatial processes over time. Ultimately, you’ll be able to develop dynamic models for water management and environmental applications.
After completing this course, you’ll be able to effectively apply PCRaster within GIS workflows and perform complex spatial analyses.
Blended learning combines independent online study with practical, interactive sessions, allowing you to gain both theoretical knowledge and hands-on experience with QGIS and PCRaster. The online modules offer you the flexibility to study at your own pace and include interactive lessons on hydrological analysis, spatial modeling, and GIS workflows. You’ll learn to work with the QGIS PCRaster Tools plugin, apply map algebra in Python, and develop dynamic models.
During the hands-on online sessions, you’ll immediately apply the knowledge you’ve gained. You’ll work with real GIS datasets and receive guidance from experienced instructors. You’ll learn to analyze water flows and watersheds, combine and edit raster layers, and create dynamic models for hydrological applications.
Through this combination, you’ll not only learn how to use PCRaster in QGIS, but also how to apply it in real-world GIS projects. After completing this course, you’ll be able to use PCRaster for hydrological modeling and spatial analysis, enabling you to achieve more well-founded and accurate results in your GIS work.
You'll receive personalized guidance. After you register, our course coordinator will contact you to schedule your first session.
After completing this course, you will be able to:
Do you have questions about the course content? Or are you unsure whether the course aligns with your learning goals or preferences? Would you prefer an in-company or private course? We’d be happy to help.
