r.import.probav_lc - GRASS manual

NAME

r.import.probav_lc - Downloads and imports PROBA-V land cover raster maps from https://zenodo.org/record/3939050.

KEYWORDS

SYNOPSIS

r.import.probav_lc

r.import.probav_lc --help

r.import.probav_lc [bare_coverfraction_output=name] [builtup_coverfraction_output=name] [crops_coverfraction_output=name] [change_confidence_output=name] [data_density_indicator_output=name] [discrete_classification_output=name] [discrete_classification_proba_output=name] [forest_type_output=name] [grass_coverfraction_output=name] [moss_lichen_coverfraction_output=name] [permanent_water_coverfraction_output=name] [seasonal_water_coverfraction_output=name] [shrub_coverfraction_output=name] [snow_coverfraction_output=name] [tree_coverfraction_output=name] [directory=name] year=string [--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags:

--overwrite: Allow output files to overwrite existing files
--help: Print usage summary
--verbose: Verbose module output
--quiet: Quiet module output
--ui: Force launching GUI dialog

Parameters:

bare_coverfraction_output=name: Output raster map name for bare cover fraction map; Name for output raster map
builtup_coverfraction_output=name: Output raster map name for built-up cover fraction map; Name for output raster map
crops_coverfraction_output=name: Output raster map name for crops cover fraction map; Name for output raster map
change_confidence_output=name: Output raster map name for change confidence map; Name for output raster map
data_density_indicator_output=name: Output raster map name for data density indicator map; Name for output raster map
discrete_classification_output=name: Output raster map name for discrete classification map; Name for output raster map
discrete_classification_proba_output=name: Output raster map name for discrete classification proba map; Name for output raster map
forest_type_output=name: Output raster map name for forest type map; Name for output raster map
grass_coverfraction_output=name: Output raster map name for grass cover fraction map; Name for output raster map
moss_lichen_coverfraction_output=name: Output raster map name for moss lichen cover fraction map; Name for output raster map
permanent_water_coverfraction_output=name: Output raster map name for permanent water cover fraction map; Name for output raster map
seasonal_water_coverfraction_output=name: Output raster map name for seasonal water cover fraction map; Name for output raster map
shrub_coverfraction_output=name: Output raster map name for shrub cover fraction map; Name for output raster map
snow_coverfraction_output=name: Output raster map name for snow cover fraction map; Name for output raster map
tree_coverfraction_output=name: Output raster map name for tree cover fraction map; Name for output raster map
directory=name: Directory path where to download the data. If not set the data will downloaded to temporary directory and removed after the import.; Name of input directory
year=string [required]: Year of the data; Options: 2015-2019; Default: 2019

DESCRIPTION
REQUIREMENTS
- wget from Python3
- zenodo_get from Python3
EXAMPLES
- Import 100m PROBA-V discrete classification and tree cover fraction map
SEE ALSO
AUTHOR

DESCRIPTION

r.import.probav_lc is a GRASS Addon that downloads and imports PROBA-V land cover raster maps from Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe for the current region.

The land cover maps of the years 2015 to 2019 are supported.

To avoid multiple downloads of the data, the user can specify a directory where the data should be saved. If no directory is specified, the data will be deleted after the import.

REQUIREMENTS

wget from Python3

pip3 install wget

zenodo_get from Python3

pip3 install zenodo_get

EXAMPLES

Import 100m PROBA-V discrete classification and tree cover fraction map

r.import.probav_lc directory=probaV year=2019 \
  discrete_classification_output=discrete_classification_map \
  tree_coverfraction_output=tree_coverfraction_map

AUTHOR

Anika Weinmann, mundialis, Germany

SOURCE CODE

Available at: r.import.probav_lc source code (history)

Accessed: Monday Jul 27 12:29:30 2026