RVT tiled processing with GUI¶

This example notebook shows how to efficiently process large raster files or a large number of raster files.

The notebook shows how to:

run tiled processing using a jupyter notebook widget
change visualisation parameters

Importing the GUI widget is straightforward, just run the following cell:

[ ]:

import tiled_GUI

Select file(s)¶

You can acces the select files window dialog by clicking the Select file(s) button. Allowed formats are TIF and VRT.

Select visualizations¶

Multiple visualizations can be selected by holding the Ctrl and clicking the desired labels.

Visualizations¶

All selected visualizations will be stored as 8bit images. Parameters set in the default_1.json file will be used for normalization for each individual visualization.

Changing parameters¶

Parameter values can be modified by mofiying the default_1.json and default_2.json files:

choose default_1 to access parameters for VAT GENERAL or for any basic visualization (Hillshade, SLRM, SVF, etc.)
choose default_2 to access parameters for VAT FLAT

Outputs¶

All basic visualizations are saved as 8 bit images, using the default stretch and cut-off values.