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NAME

t.rast.patch - Patches multiple space time raster maps into a single raster map using r.patch.

KEYWORDS

temporal, aggregation, series, raster, merge, patching, time

SYNOPSIS

t.rast.patch
t.rast.patch --help
t.rast.patch [-tzs] input=name [where=sql_query] output=name [sort=string] [--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags:

-t
Do not assign the space time raster dataset start and end time to the output map
-z
Use zero (0) for transparency instead of NULL
-s
Do not create color and category files
--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
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'
output=name [required]
Name for output raster map
sort=string
Sort order (see sort parameter)
Options: asc, desc
Default: desc

Table of contents

DESCRIPTION

This module patches raster maps that have gaps in time with subsequent maps (within a space time raster dataset) using r.patch. Hence it is a wrapper for r.patch in the temporal domain. The input of this module is a single space time raster dataset, the output is a single raster map layer. A subset of the input space time raster dataset can be selected using the where option. The sorting of the raster map layer can be set using the sort option. Be aware that the sorting of the maps significantly influences the result of the patch. By default the maps are sorted by desc by the start_time so that the newest raster map is the first input map in r.patch.

t.rast.patch is a simple wrapper for the raster module r.patch.

EXAMPLE

The example uses the North Carolina extra time series of MODIS Land Surface Temperature maps (download). (The mapset has to be unzip in one of the North Carolina locations.)

Patching the MODIS Land Surface Temperature for 2016 (filling missing pixels by subsequent maps in the time series):

t.rast.patch input=LST_Day_monthly@modis_lst output=LST_Day_patched_2016 \
  where="start_time >= '2016-01' and start_time <= '2016-12'"
r.info LST_Day_patched_2016

SEE ALSO

r.patch, t.rast.series, t.create, t.info

Temporal data processing Wiki

AUTHOR

Anika Bettge, mundialis GmbH & Co. KG

SOURCE CODE

Available at: t.rast.patch source code (history)


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