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metadata.txt
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70 lines (51 loc) · 3.52 KB
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# Mandatory items:
[general]
name=Relief Visualization Toolbox
qgisMinimumVersion=3.0
qgisMaximumVersion=4.99
description=Relief visualization toolbox (RVT) plugin helps scientists visualise digital elevation model datasets.
version=1.0.0
author=ZRC SAZU and University of Ljubljana (UL FGG)
email=zkokalj@zrc-sazu.si
about=The Relief Visualization Toolbox was developed to help scientists visualise raster elevation model datasets. We narrowed down the selection to include techniques proven effective for identifying small-scale features. The default settings therefore assume work with high-resolution digital elevation models derived from airborne laser scanning missions (lidar). Despite this, the techniques are also used for various other purposes. For example, the sky-view factor can be efficiently applied in numerous studies where digital elevation model visualisations and automatic feature extraction techniques are indispensable, such as in geography, geomorphology, cartography, hydrology, glaciology, forestry, and disaster management. It can even be used in engineering applications, such as predicting the availability of the GNSS signal, conducting heat balance studies in urban areas, or predicting wind environments in football stadiums.
The methods currently implemented are: hillshading, hillshading from multiple directions, slope, simple local relief model (topographic position index), sky-view factor (as developed by our team), anisotropic sky-view factor, positive and negative openness, local dominance, multiscale topographic position, visualisation for archaeological topography (VAT), enhanced prismatic openness, enhanced multiscale topographic position (e4MSTP).
You are encouraged to cite these papers:
- Kokalj, Ž. 2025. Standardizing visualization in ancient Maya lidar research: Techniques, challenges and recommendations. Archaeological Prospection, 32 (4), 967–988. DOI: 10.1002/arp.70002
- Zakšek, K., Oštir, K., Kokalj, Ž. 2011. Sky-View factor as a relief visualization technique. Remote Sensing 3: 398-415. DOI: 10.3390/rs3020398
© Copyright 2026 ZRC SAZU and University of Ljubljana
tracker=https://github.com/EarthObservation/rvt-qgis/issues
repository=https://github.com/EarthObservation/rvt-qgis
# Recommended items:
changelog=[1.0.0] - 2026.04.10:
- Migration to QGIS4 and Qt6
- New reference for citing (Kokalj et al., 2025)
- Updated metadata and "About" dialog window
- Fixed "Cut-off" function
- Blender and CVAT are selected when the plugin starts
- Update labels and filenames of blender combinations
- Add logic to detect, load and skip existing blended output files
[0.10.0] - 2025.09.19:
- Updated to RVT version 2.2.3
- Added e4MSTP to Blender combinations
- Fixed minor bugs
# Tags are comma separated with spaces allowed
tags=rvt,relief visualization toolbox,visualisation,relief,dem,dtm,dsm,lidar,archaeology,hillshade,slope,slrm,sky-view factor,vat,mstp
homepage=https://rvt-py.readthedocs.io/en/latest/rvtfor_qgis.html
category=Plugins
hasProcessingProvider=yes
icon=icon.png
# experimental flag
experimental=False
# deprecated flag (applies to the whole plugin, not just a single version)
deprecated=False
# Since QGIS 3.8, a comma separated list of plugins to be installed
# (or upgraded) can be specified.
# Check the documentation for more information.
# plugin_dependencies=
Category of the plugin: Raster, Vector, Database or Web
# category=
# If the plugin can run on QGIS Server.
server=False
# LICENSE
license=Apache-2.0
license_file=LICENSE