GRASS GIS and GRASS Addonns installation¶

Computer specifications¶

The tools r.viewshed.exposure and r.viewshed.impact were run on a server with the following specifications (Table 1).

Table 1. Computer specifications.

	Visual Exposure	Visual Impact
Server	HPE ProLiant DL360 Gen 10	HPE ProLiant DL360 Gen 10
Processor	2 Intel ® Xeon ® Gold 6134 CPU @ 3.20 GHz Central Processing Units	2 Intel ® Xeon ® Gold 6134 CPU @ 3.20 GHz Central Processing Units
CPU cores	40 cores	40 cores
Random Access Memory	370 GB	377 GB
SSD	960 GB	960 GB
Fie System	Ubuntu 18.04.5 LTS	Ubuntu 18.04.5 LTS

Install GRASS GIS with Docker¶

Pull official OSGEO GRASS docker pull osgeo/grass-gis:releasebranch_8_3-ubuntu_wxgui

Enter container from Command Line Interface (CLI) docker run -it osgeo/grass-gis:releasebranch_8_3-ubuntu_wxgui

Enter Container from Visual Studio Code

CTRL + ALT + P
add the .devcontainer.json to your .devcontainer folder

Open the GRASS GIS Command Line Interface (CLI) and Graphical User Interface (GUI)¶

Inside your container start GRASS

Grass
g.gui wxpython

Common Error: “Unable to access the X Display”

Stop containers
outside container check whom has access to xhost xhost
Prune docker docker system prune
Recreate your grass container

Install GRASS GIS Addons¶

Using GRASS GUI

Settings > Addons Extension
Search for extension
Install
Check that extension is installed

Using GRASS CLI g.extension.install source=path/to/extension, destination=/path/to/volume/extension

Create new GRASS database¶

GRASS GIS Database - GRASS GIS Manual (osgeo.org)

New database > your grassdata directory
Name your location folder UTMxx or WGSxx
Set your EPSG code
- 25832 (UTM32)
- 25833 (UTM33)
Apply transformation.
Finish

Import data into your GRASS Mapset¶

Import dsm_dtm
Import trecrown binary raster
ensure that 0 is set to NA

Set Processing extent¶

Using GUI

Settings
Computational region
Set region [g.region]
Set elevation model as g.region

Using CLI gs.run_command('g.region', raster='%municipality%_dsmdtm_1m_utm32_flt@%MAPSET%’)

Run r.viewshed.exposure tool¶

Using GUI

Tools
Search for r.viewshed.exposure
Fill in parameters

Using CLI python3 /user/.grass8/addons/scripts/r.viewshed.exposure.py input=%municipality%_dsmdtm_1m_utmXX_flt@%MAPSET% out-put=%municipality%_visual_exposure_1m_utmXX source=%municipality%_treecrown_1m_utmXX_int@%MAPSET% range=100 func-tion=Distance_decay sample_density=25 seed=1 memory=200000 nprocs=40

Export rasters to GeoTIFF¶

Set 0 to NA (for better visualisation) File > Export raster map