Provided by: grass-doc_8.4.1-1_all 
NAME
t.rast.list - Lists registered maps of a space time raster dataset.
KEYWORDS
temporal, map management, raster, list, time
SYNOPSIS
t.rast.list
t.rast.list --help
t.rast.list [-u] input=name [order=string[,string,...]] [columns=string[,string,...]]
[where=sql_query] [method=string] [granule=string] [format=string] [separator=character]
[output=name] [--overwrite] [--help] [--verbose] [--quiet] [--ui]
Flags:
-u
Suppress printing of column names
--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 the input space time raster dataset
order=string[,string,...]
Sort the space time dataset by category
Options: id, name, semantic_label, creator, mapset, temporal_type, creation_time, start_time,
end_time, north, south, west, east, nsres, ewres, cols, rows, number_of_cells, min, max
columns=string[,string,...]
Columns to be printed to stdout
Options: id, name, semantic_label, creator, mapset, temporal_type, creation_time, start_time,
end_time, north, south, west, east, nsres, ewres, cols, rows, number_of_cells, min, max,
interval_length, distance_from_begin
where=sql_query
WHERE conditions of SQL statement without ’where’ keyword used in the temporal GIS framework
Example: start_time > ’2001-01-01 12:30:00’
method=string
Method used for data listing
Options: list, cols, comma, delta, deltagaps, gran
Default: list
granule=string
The granule to be used for listing. The granule must be specified as string eg.: absolute time "1
months" or relative time "1"
format=string
Output format
Options: plain, line, json, yaml, csv
separator=character
Field separator character between the output columns
Special characters: pipe, comma, space, tab, newline
Default: pipe
output=name
Name for output file
DESCRIPTION
List time stamped raster map layers that are registered in a space time raster dataset. t.rast.list
provides several options to list map layers and their metadata. Listing of map layer can be ordered by
metadata, metadata columns can be specified and SQL where conditions can be provided to select a map
layer subset of the input space time raster dataset. Most of the raster map specific metadata is
available for column selection, sorting and SQL where statements. Using the method option allows the
specification of different methods to list map layers. Method list is the default option and sensitive to
the column,order and where options.
To print interval length in days and distance from the begin use method delta. Method deltagap will
additionally print temporal gaps between map layer. The gran method allows the listing of map layer
sampled by a user defined granule. As default the granularity of the space time raster dataset is used
for sampling.
While method list supports all columns except for interval_length and distance_from_begin, methods delta,
deltagap, and gran support only the following columns: id, name, mapset, start_time, end_time,
interval_length, and distance_from_begin. The option order is only available with method list.
Methods cols and comma are depreciated. The cols method is replaced by the plain format and the comma
method is replaced by the line format.
The format option specifies the format of the output data. The default plain format will simply print
user specified metadata columns of one map layer per line separated by a pipe by default. The line
format will list fully qualified map names (name and mapset) as a comma-separated list of values that can
be used as input for spatial modules. The csv format will print data in the CSV format using comma as
the value separator (delimiter) and double quote for text field quoting. The json format generates JSON
and, if the PyYAML package is installed, The yaml format generates YAML. The column (or item) separator
can be specified with the separator option for plain, line, and csv.
EXAMPLES
This example shows several options that are available for map layers listing.
Default query
The following command is the default one, returning standard information like name, mapset, start_time,
end_time of each map in the space time dataset
t.rast.list tempmean_monthly
name|mapset|start_time|end_time
2009_01_tempmean|climate_2000_2012|2009-01-01 00:00:00|2009-02-01 00:00:00
2009_02_tempmean|climate_2000_2012|2009-02-01 00:00:00|2009-03-01 00:00:00
....
2012_11_tempmean|climate_2000_2012|2012-11-01 00:00:00|2012-12-01 00:00:00
2012_12_tempmean|climate_2000_2012|2012-12-01 00:00:00|2013-01-01 00:00:00
Add more info
The following command let the user to choose the columns to show
t.rast.list tempmean_monthly columns=name,start_time,min,max
name|start_time|min|max
2009_01_tempmean|2009-01-01 00:00:00|-3.380823|7.426054
2009_02_tempmean|2009-02-01 00:00:00|-1.820261|8.006386
...
2009_01_tempmean|2009-01-01 00:00:00|-3.380823|7.426054
2009_02_tempmean|2009-02-01 00:00:00|-1.820261|8.006386
Filtering the result by value
In this example the result is filtered showing only the maps with max value major than 24
t.rast.list tempmean_monthly columns=name,start_time,min,max where="max > 24"
name|start_time|min|max
2009_06_tempmean|2009-06-01 00:00:00|15.962669|25.819681
2009_07_tempmean|2009-07-01 00:00:00|15.32852|26.103664
2009_08_tempmean|2009-08-01 00:00:00|16.37995|27.293282
....
2012_06_tempmean|2012-06-01 00:00:00|14.929379|24.000651
2012_07_tempmean|2012-07-01 00:00:00|18.455802|28.794653
2012_08_tempmean|2012-08-01 00:00:00|15.718526|26.151115
Filtering the result by time range
In this example the result is filtered showing only the maps which fall into a specified time range (from
.. to):
t.rast.list tempmean_monthly columns=name,start_time,min,max \
where="start_time > ’2009-06-01 00:00:00’ and start_time < ’2012-08-01 00:00:00’"
name|start_time|min|max
2009_06_tempmean|2009-06-01 00:00:00|15.962669|25.819681
2009_07_tempmean|2009-07-01 00:00:00|15.32852|26.103664
2009_08_tempmean|2009-08-01 00:00:00|16.37995|27.293282
....
2012_06_tempmean|2012-06-01 00:00:00|14.929379|24.000651
2012_07_tempmean|2012-07-01 00:00:00|18.455802|28.794653
2012_08_tempmean|2012-08-01 00:00:00|15.718526|26.151115
Filtering the result by selecting recurring timestamps
In this example the result is filtered showing only the maps which fall into a specified recurring time
range (here one month per year):
t.rast.list Tseasonal_fieldata_garda where="strftime(’%m’, start_time)=’06’"
Using method option
Method option is able to show raster in different way. By default cols value is used, the value comma
will print only the list of maps inside the space time dataset:
t.rast.list method=comma input=tempmean_monthly
2009_01_tempmean@climate_2009_2012,2009_02_tempmean@climate_2009_2012,2009_03_tempmean@climate_2009_2012, \
2009_04_tempmean@climate_2009_2012,2009_05_tempmean@climate_2009_2012,2009_06_tempmean@climate_2009_2012, \
2009_07_tempmean@climate_2009_2012,2009_08_tempmean@climate_2009_2012,2009_09_tempmean@climate_2009_2012, \
2009_10_tempmean@climate_2009_2012,2009_11_tempmean@climate_2009_2012,2009_12_tempmean@climate_2009_2012, \
2010_01_tempmean@climate_2009_2012,2010_02_tempmean@climate_2009_2012,2010_03_tempmean@climate_2009_2012, \
2010_04_tempmean@climate_2009_2012,2010_05_tempmean@climate_2009_2012,2010_06_tempmean@climate_2009_2012, \
2010_07_tempmean@climate_2009_2012,2010_08_tempmean@climate_2009_2012,2010_09_tempmean@climate_2009_2012, \
2010_10_tempmean@climate_2009_2012,2010_11_tempmean@climate_2009_2012,2010_12_tempmean@climate_2009_2012, \
2011_01_tempmean@climate_2009_2012,2011_02_tempmean@climate_2009_2012,2011_03_tempmean@climate_2009_2012, \
2011_04_tempmean@climate_2009_2012,2011_05_tempmean@climate_2009_2012,2011_06_tempmean@climate_2009_2012, \
2011_07_tempmean@climate_2009_2012,2011_08_tempmean@climate_2009_2012,2011_09_tempmean@climate_2009_2012, \
2011_10_tempmean@climate_2009_2012,2011_11_tempmean@climate_2009_2012,2011_12_tempmean@climate_2009_2012, \
2012_01_tempmean@climate_2009_2012,2012_02_tempmean@climate_2009_2012,2012_03_tempmean@climate_2009_2012, \
2012_04_tempmean@climate_2009_2012,2012_05_tempmean@climate_2009_2012,2012_06_tempmean@climate_2009_2012, \
2012_07_tempmean@climate_2009_2012,2012_08_tempmean@climate_2009_2012,2012_09_tempmean@climate_2009_2012, \
2012_10_tempmean@climate_2009_2012,2012_11_tempmean@climate_2009_2012,2012_12_tempmean@climate_2009_2012
The delta value calculate the interval between maps and the distance from the first map:
t.rast.list method=delta input=tempmean_monthly
id|name|mapset|start_time|end_time|interval_length|distance_from_begin
2009_01_tempmean@climate_2000_2012|2009_01_tempmean|climate_2000_2012|2009-01-01 00:00:00|2009-02-01 00:00:00|31.0|0.0
2009_02_tempmean@climate_2000_2012|2009_02_tempmean|climate_2000_2012|2009-02-01 00:00:00|2009-03-01 00:00:00|28.0|31.0
2009_03_tempmean@climate_2000_2012|2009_03_tempmean|climate_2000_2012|2009-03-01 00:00:00|2009-04-01 00:00:00|31.0|59.0
...
2012_10_tempmean@climate_2000_2012|2012_10_tempmean|climate_2000_2012|2012-10-01 00:00:00|2012-11-01 00:00:00|31.0|1369.0
2012_11_tempmean@climate_2000_2012|2012_11_tempmean|climate_2000_2012|2012-11-01 00:00:00|2012-12-01 00:00:00|30.0|1400.0
2012_12_tempmean@climate_2000_2012|2012_12_tempmean|climate_2000_2012|2012-12-01 00:00:00|2013-01-01 00:00:00|31.0|1430.0
The gran value it is used to return data sampled by a user defined granule. As default the granularity of
the space time raster dataset is used for sampling.
t.rast.list method=gran input=tempmean_monthly
id|name|mapset|start_time|end_time|interval_length|distance_from_begin
2009_01_tempmean@climate_2009_2012|2009_01_tempmean|climate_2009_2012|2009-01-01 00:00:00|2009-02-01 00:00:00|31.0|0.0
2009_02_tempmean@climate_2009_2012|2009_02_tempmean|climate_2009_2012|2009-02-01 00:00:00|2009-03-01 00:00:00|28.0|31.0
2009_03_tempmean@climate_2009_2012|2009_03_tempmean|climate_2009_2012|2009-03-01 00:00:00|2009-04-01 00:00:00|31.0|59.0
2009_04_tempmean@climate_2009_2012|2009_04_tempmean|climate_2009_2012|2009-04-01 00:00:00|2009-05-01 00:00:00|30.0|90.0
....
2012_09_tempmean@climate_2009_2012|2012_09_tempmean|climate_2009_2012|2012-09-01 00:00:00|2012-10-01 00:00:00|30.0|1339.0
2012_10_tempmean@climate_2009_2012|2012_10_tempmean|climate_2009_2012|2012-10-01 00:00:00|2012-11-01 00:00:00|31.0|1369.0
2012_11_tempmean@climate_2009_2012|2012_11_tempmean|climate_2009_2012|2012-11-01 00:00:00|2012-12-01 00:00:00|30.0|1400.0
2012_12_tempmean@climate_2009_2012|2012_12_tempmean|climate_2009_2012|2012-12-01 00:00:00|2013-01-01 00:00:00|31.0|1430.0
t.rast.list method=gran input=tempmean_monthly gran="2 months"
id|name|mapset|start_time|end_time|interval_length|distance_from_begin
2009_01_tempmean@climate_2009_2012|2009_01_tempmean|climate_2009_2012|2009-01-01 00:00:00|2009-03-01 00:00:00|59.0|0.0
2009_03_tempmean@climate_2009_2012|2009_03_tempmean|climate_2009_2012|2009-03-01 00:00:00|2009-05-01 00:00:00|61.0|59.0
2009_05_tempmean@climate_2009_2012|2009_05_tempmean|climate_2009_2012|2009-05-01 00:00:00|2009-07-01 00:00:00|61.0|120.0
....
2012_07_tempmean@climate_2009_2012|2012_07_tempmean|climate_2009_2012|2012-07-01 00:00:00|2012-09-01 00:00:00|62.0|1277.0
2012_09_tempmean@climate_2009_2012|2012_09_tempmean|climate_2009_2012|2012-09-01 00:00:00|2012-11-01 00:00:00|61.0|1339.0
2012_11_tempmean@climate_2009_2012|2012_11_tempmean|climate_2009_2012|2012-11-01 00:00:00|2013-01-01 00:00:00|61.0|1400.0
For the deltagaps value you can see the example for space time vector dataset t.vect.list
Reading raster names in Python
result = json.loads(
gs.read_command(
"t.rast.list", input="tempmean_monthly", format="json"
)
)
for item in result["data"]:
print(item["name"])
Filtering the result by semantic label
Semantic label can be assigned to raster maps by r.semantic.label module or even when registrating raster
maps into STRDS by t.register.
Name of STRDS can be extended by semantic label used for filtering. Name of STRDS and semantic label is
split by a single dot.
t.rast.list input=test.S2_1
Note that semantic label filtering is supported by all temporal modules.
Also note that only STRDS can be filtered by semantic label, see r.semantic.label for current
limitations.
SEE ALSO
g.list, t.create, t.info, t.list, t.rast3d.list, t.vect.list
Temporal data processing Wiki
AUTHOR
Sören Gebbert, Thünen Institute of Climate-Smart Agriculture
SOURCE CODE
Available at: t.rast.list source code (history)
Accessed: Friday Apr 04 01:21:14 2025
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GRASS 8.4.1 t.rast.list(1grass)