i.in.probav - GRASS GIS manual

Note: This document is for an older version of GRASS GIS that is outdated. You should upgrade, and read the current addon manual page.

NAME

i.in.probav - Imports PROBA-V NDVI data in netCDF format into a raster map with real NDVI data range.

KEYWORDS

imagery, import, NDVI, PROBA-V

SYNOPSIS

i.in.probav

i.in.probav --help

i.in.probav input=name output=name [scale=float] [shift=float] [memory=integer] [--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:

input=name [required]: Name of input PROBA-V NDVI .nc file
output=name [required]: Name for output raster map
scale=float: Scale factor for input; Default: 0.004
shift=float: Shift factor for input; Offset factor for input; Default: -0.08
memory=integer: Maximum memory to be used in MB; Options: 0-2047; Default: 300

DESCRIPTION
NOTES
- Before Import
EXAMPLE
SEE ALSO
REFERENCES
AUTHOR

DESCRIPTION

i.in.probav imports Proba-V NDVI data sets. After the import the digital numbers (DN) are remapped to VEGETATION NDVI values and the NDVI color table is applied. The imported DN map is removed after remapping. It is also possible to change the scale and offset factor (default is scale: 0.004, offset: -0.08 for Proba-V) and to improve the memory usage (default is 300 MB).

Important for the Proba-V Data sets, is a user registration at the VITO portal necessary (Register Button in the Upper Right Corner).

NOTES

The Proba-V files are delivered in NetCDF (Network Common Data Form) format. It is required to have the GDAL libraries installed with NetCDF support. Also to check the necessary scale and offset factor with gdalinfo.

Before Import

When working with Proba-V NDVI, it it necessary to fix the range of the map because it exceeds the -180°..+180° range with entire world extent. You can shift the map slightly into the right position using gdal_translate. This example in Global datasets may help you.

EXAMPLE

# import of 300m NDVI
i.in.probav input=c_gls_NDVI300_201611010000_GLOBE_PROBAV_V1.0.1.nc \
            output=c_gls_NDVI300_201611010000_GLOBE_PROBAV_V1.0.1 memory=500

REFERENCES

AUTHOR

Jonas Strobel

SOURCE CODE

Available at: i.in.probav source code (history)

Latest change: Thu Feb 3 09:32:35 2022 in commit: f17c792f5de56c64ecfbe63ec315307872cf9d5c