t.register.local - GRASS manual

NAME

t.register.local - Register files from the local file system as STRDS

KEYWORDS

temporal, import, raster, time, external, link, gdal

SYNOPSIS

t.register.local

t.register.local --help

t.register.local [-eamorsf] [input=name] [files=Comma separated list of files to register[,Comma separated list of files to register,...]] [register_file=string] output=name [semantic_labels=Input file with configuration for semantic labels ("-" = stdin)] [semantic_label_pattern=Pattern for reading semantic labels from file name (e.g.: "(VV|VH)_dbi_[0-9]+_(ascending|descending)")] [long_name=string] [suffix=string] [time_format=string] [file_pattern=string] [start_time=string] [end_time=string] [color=style] [nodata=Source nodata] [units=string] [nprocs=integer] [--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags:

-e: Extend existing STRDS
-a: Auto-adjustment for lat/lon
-m: Read data range from metadata
-o: Override projection check (use current location's projection)
-r: Create fast link without data range
-s: Second time stamp in file name represents the stop time
-f: Filter files using modification time (default is logical time stamp in file name)
--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: Name of input directory
files=Comma separated list of files to register[,Comma separated list of files to register,...]: Comma separated list of files to register
register_file=string: CSV-like file with files to import containing map_name,start,stop,semantic_label,file_name,metadata_json
output=name [required]: Name of the output space time raster dataset
semantic_labels=Input file with configuration for semantic labels ("-" = stdin): File with mapping of band numbers, variables or subdatasets to semantic labels
semantic_label_pattern=Pattern for reading semantic labels from file name (e.g.: "(VV|VH)_dbi_[0-9]+_(ascending|descending)"): Pattern for reading semantic labels from file name (e.g.: "(VV|VH)_dbi_[0-9]+_(ascending|descending)")
long_name=string: Descriptive long name of the phenomenon the raster maps represent
suffix=string: Suffix of files to register; Suffix of files to register
time_format=string: datetime string format description for extracting date/time from file name (e.g. "%Y%m%d_%H%M"); Default extracts 8 numbers between underscores; Default: "%Y%m%d"
file_pattern=string: Regular expression for filtering files based on file name; Regular expression for filtering files based on file name
start_time=string: Earliest timestamp of files to register; Timestamp in ISO format "YYYY-MM-DD HH:MM:SS"
end_time=string: Latest timestamp of files to register; Timestamp in ISO format "YYYY-MM-DD HH:MM:SS"
color=style: Color table to assign to imported datasets; Options: aspect, aspectcolr, bcyr, bgyr, blues, byg, byr, celsius, corine, curvature, differences, elevation, etopo2, evi, fahrenheit, forest_cover, gdd, grass, greens, grey, grey.eq, grey.log, grey1.0, grey255, gyr, haxby, inferno, kelvin, magma, ndvi, ndwi, nlcd, oranges, plasma, population, population_dens, precipitation, precipitation_daily, precipitation_monthly, rainbow, ramp, random, reds, roygbiv, rstcurv, ryb, ryg, sepia, slope, soilmoisture, srtm, srtm_percent, srtm_plus, terrain, viridis, water, wave; Default: viridis; aspect: aspect oriented grey colors [range: map values]; aspectcolr: aspect oriented rainbow colors [range: 0 to 360]; bcyr: blue through cyan through yellow to red [range: map values]; bgyr: blue through green through yellow to red [range: map values]; blues: white to blue [range: map values]; byg: blue through yellow to green [range: map values]; byr: blue through yellow to red [range: map values]; celsius: blue to red for degree Celsius temperature [range: -80 to 80]; corine: EU Corine land cover colors [range: 111 to 995]; curvature: for terrain curvatures (from v.surf.rst and r.slope.aspect) [range: map values]; differences: differences oriented colors [range: map values]; elevation: maps relative ranges of raster values to elevation color ramp [range: map values]; etopo2: colors for ETOPO2 worldwide bathymetry/topography [range: -11000 to 8850]; evi: enhanced vegetative index colors [range: -1 to 1]; fahrenheit: blue to red for Fahrenheit temperature [range: -112 to 176]; forest_cover: percentage of forest cover [range: 0 to 100]; gdd: accumulated growing degree days [range: 0 to 6000]; grass: GRASS green (perceptually uniform) [range: map values]; greens: white to green [range: map values]; grey: grey scale [range: map values]; grey.eq: histogram-equalized grey scale [range: map values]; grey.log: histogram logarithmic transformed grey scale [range: map values]; grey1.0: grey scale for raster values between 0.0-1.0 [range: 0 to 1]; grey255: grey scale for raster values between 0-255 [range: 0 to 255]; gyr: green through yellow to red [range: map values]; haxby: relative colors for bathymetry or topography [range: map values]; inferno: perceptually uniform sequential color table inferno [range: map values]; kelvin: blue to red for temperature in Kelvin scale [range: 193.15 to 353.15]; magma: perceptually uniform sequential color table magma [range: map values]; ndvi: Normalized Difference Vegetation Index colors [range: -1 to 1]; ndwi: Normalized Difference Water Index colors [range: -200 to 200]; nlcd: US National Land Cover Dataset colors [range: 0 to 95]; oranges: white to orange [range: map values]; plasma: perceptually uniform sequential color table plasma [range: map values]; population: color table covering human population classification breaks [range: 0 to 2e+09]; population_dens: color table covering human population density classification breaks [range: 0 to 1e+09]; precipitation: precipitation color table (0..2000mm) [range: 0 to 7000]; precipitation_daily: precipitation color table (0..1000mm) [range: 0 to 10000]; precipitation_monthly: precipitation color table (0..1000mm) [range: 0 to 1000]; rainbow: rainbow color table [range: map values]; ramp: color ramp [range: map values]; random: random color table [range: map values]; reds: white to red [range: map values]; roygbiv: [range: map values]; rstcurv: terrain curvature (from r.resamp.rst) [range: map values]; ryb: red through yellow to blue [range: map values]; ryg: red through yellow to green [range: map values]; sepia: yellowish-brown through to white [range: map values]; slope: r.slope.aspect-type slope colors for raster values 0-90 [range: 0 to 90]; soilmoisture: soilmoisture color table (0.0-1.0) [range: 0 to 1]; srtm: color palette for Shuttle Radar Topography Mission elevation [range: -11000 to 8850]; srtm_percent: color palette for Shuttle Radar Topography Mission using relative elevation [range: map values]; srtm_plus: color palette for Shuttle Radar Topography Mission elevation (with seafloor colors) [range: -11000 to 8850]; terrain: global elevation color table covering -11000 to +8850m [range: -11000 to 8850]; viridis: perceptually uniform sequential color table viridis [range: map values]; water: water depth [range: map values]; wave: color wave [range: map values]
nodata=Source nodata: NoData value in source raster maps
units=string: Units of the values in the input raster maps
nprocs=integer: Number of threads for parallel computing; 0: use OpenMP default; >0: use nprocs; <0: use MAX-nprocs; Default: 0

DESCRIPTION
EXAMPLES
- Register Sentinel-2 snow cover data
SEE ALSO
AUTHOR

DESCRIPTION

t.register.local links all local raster data files in a given input directory, with a given file_pattern, and a given suffix to the GRASSDB. Time stamps are extracted from the file name with a user defined time_format regular expression. The start_time option allows to register only files newer than the given time stamp in ISO format (%Y%m%d) optionally including "%H:%M" A semantic_labels file can be used to filter bands in the input files and assign semantic labels to them. The resulting output SpaceTimeRasterDataset can be described with a long_name and units the raster data represent. In addition, nodata values of the source data and a color map can be defined The raster maps can also be registered into an existing SpaceTimeRasterDataset if the e-flag is set.

This module is not sensitive to the current region and mask settings. Parallel processing is supported, depending on the number of specified parallel processes (nprocs) and the number of input maps to register.

EXAMPLES

Register Sentinel-2 snow cover data

t.register.local --o -o suffix="nc" units="%" nprocs=5 time_format="%Y%m%d" \
    input="/hdata/fjernanalyse2/Sentinel2/Sentinel2jobs/workdir/snowcover/" \
	semantic_labels="/hdata/fjernanalyse3/CopernicusUtviklingOgTest/data_import/semantic_labels_snow_cover.txt" \
	output=Sentinel_2_snow_cover \
	long_name="Snow cover from Sentinel-2, classification and fraction"

t.info Sentinel_2_snow_cover
 +-------------------- Space Time Raster Dataset -----------------------------+
 |                                                                            |
 +-------------------- Basic information -------------------------------------+
 | Id: ........................ Sentinel_2_snow_cover@Sentinel_2_snow_cover
 | Name: ...................... Sentinel_2_snow_cover
 | Mapset: .................... Sentinel_2_snow_cover
 | Creator: ................... actiniad
 | Temporal type: ............. absolute
 | Creation time: ............. 2022-12-07 21:29:12.023462
 | Temporal type: ............. absolute
 | Creation time: ............. 2022-12-07 21:29:12.023462
 | Modification time:.......... 2022-12-08 06:20:51.837265
 | Semantic type:.............. mean
 +-------------------- Absolute time -----------------------------------------+
 | Start time:................. 2021-06-25 00:00:00
 | End time:................... 2022-12-07 00:00:00
 | Granularity:................ 1 day
 | Temporal type of maps:...... point
 +-------------------- Spatial extent ----------------------------------------+
 | North:...................... 12833400.0
 | South:...................... 6387540.0
 | East:.. .................... 1283160.0
 | West:....................... -196080.0
 | Top:........................ 0.0
 | Bottom:..................... 0.0
 +-------------------- Metadata information ----------------------------------+
 | Raster register table:...... raster_map_register_1d72255a0d074986af455ad279dda25b
 | North-South resolution min:. 20.0
 | North-South resolution max:. 20.0
 | East-west resolution min:... 20.0
 | East-west resolution max:... 20.0
 | Minimum value min:.......... 0.0
 | Minimum value max:.......... 100.0
 | Maximum value min:.......... 0.0
 | Maximum value max:.......... 100.0
 | Aggregation type:........... None
 | Number of semantic labels:.. 1
 | Semantic labels:............ fractional_snow_cover
 | Number of registered maps:.. 36236
 |
 | Title:
 | Snow cover from Sentinel-2, classification and fraction
 | Description:
 | Snow cover from Sentinel-2, classification and fraction
 | Command history:
 | # 2022-12-07 21:29:12
 | t.create type="strds" temporaltype="absolute"
 |     semantictype="mean"
 |     title="Snow cover from Sentinel-2, classification and fraction"
 |     description="Snow cover from Sentinel-2, classification and fraction"
 |     output="Sentinel_2_snow_cover" --v
 |
 +----------------------------------------------------------------------------+

AUTHOR

Stefan Blumentrath

SOURCE CODE

Available at: t.register.local source code (history)

Accessed: Monday Jul 27 12:30:03 2026