Relief Visualization Toolbox

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).

Despite this, techniques are also used for different other purposes. Sky-view factor, for example, can be efficiently used in numerous studies where digital elevation model visualizations and automatic feature extraction techniques are indispensable, e.g. in geography, geomorphology, cartography, hydrology, glaciology, forestry and disaster management. It can be used even in engineering applications, such as, predicting the availability of the GPS signal in urban areas.

Methods currently implemented are:

* hillshading,
* hillshading from multiple directions,
* PCA of hillshading,
* slope gradient,
* simple local relief model,
* sky-view factor (as developed by our team),
* anisotropic sky-view factor,
* positive and negative openness.

For a more detailed description see references given at each method in the manual and a comparative paper describing them (e.g. Kokalj et al. 2013, see below).
The tool also supports elevation raster file data conversion. It is possible to convert all frequently used single band raster formats into GeoTIFF, ASCII gridded XYZ, Erdas Imagine file and ENVI file formats.
Development of RVT was part financed by the European Commission’s Culture Programme through the ArchaeoLandscapes Europe project.


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