Relief Visualization Toolbox was produced to help scientist visualize raster elevation model datasets. We have narrowed down the selection to include techniques that have proven to be effective for identification of small scale features. Default settings therefore assume working with high resolution digital elevation models, derived from airborne laser scanning missions (lidar).

Plugin is uploaded to QGIS plugin repository Relief visualization toolbox, QGIS plugin repository.

Detailed installation guide is available at Relief visualization toolbox, QGIS Plugin installation.

To install plugin open QGIS and go to:

Plugins > Manage and install plugins... > Search Relief Visualization Toolbox > Install

The plugin has been tested under QGIS 3.12 and later.

Documentation of the package and its usage is available at Relief Visualization Toolbox in Python documentation.

When using the tools, please cite:

• Kokalj, Ž., Somrak, M. 2019. Why Not a Single Image? Combining Visualizations to Facilitate Fieldwork and On-Screen Mapping. Remote Sensing 11(7): 747.
• Zakšek, K., Oštir, K., Kokalj, Ž. 2011. Sky-View Factor as a Relief Visualization Technique. Remote Sensing 3: 398-415.

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please report any bugs and suggestions for improvements.

Development of RVT Python scripts was part financed by the Slovenian Research Agency core funding No. P2-0406 and by research projects No. J6-9395 and J2-9251. Development of RVT QGIS plugin was part financed by PTS Consultancy via the UK Government Culture Recovery Fund.

This project is licensed under the terms of the Apache License.

RVT plugin for QGIS by Žiga Kokalj, Žiga Maroh and Krištof Oštir, 2022. It is developed in collaboration between ZRC SAZU and University of Ljubljana.