GDAL_PANSHARPEN(1) GDAL GDAL_PANSHARPEN(1)

NAME

gdal_pansharpen - Perform a pansharpen operation.

SYNOPSIS

gdal_pansharpen [--help] [--help-general]
<pan_dataset>
<spectral_dataset>[,band=<num>] [<spectral_dataset>[,band=<num>]]...
<out_dataset>
[-of <format>] [-b <band>]... [-w <weight_val>]...
[-r {nearest|bilinear|cubic|cubicspline|lanczos|average}]
[-threads {ALL_CPUS|<number>}] [-bitdepth <val>] [-nodata <val>]
[-spat_adjust {union|intersection|none|nonewithoutwarning}]
[-co <NAME>=<VALUE>]... [-q]

DESCRIPTION

gdal_pansharpen performs a pan-sharpening operation. It can create a
"classic" output dataset (such as GeoTIFF), or a VRT dataset
describing the pan-sharpening operation.

More details can be found in the Pansharpened VRT section.

NOTE:
gdal_pansharpen is a Python utility, and is only available if GDAL
Python bindings are available.

--help Show this help message and exit

--help-general
Gives a brief usage message for the generic GDAL commandline
options and exit.

-of <format>
Select the output format. Starting with GDAL 2.3, if not
specified, the format is guessed from the extension
(previously was GTiff). Use the short format name. VRT can
also be used.

-b <band>
Select band band from the input spectral bands for output.
Bands are numbered from 1 in the order spectral bands are
specified. Multiple -b switches may be used. When no -b
switch is used, all input spectral bands are set for output.

-w <weight_val>
Specify a weight for the computation of the pseudo
panchromatic value. There must be as many -w switches as input
spectral bands.

-r {nearest|bilinear|cubic|cubicspline|lanczos|average}
Select a resampling algorithm. cubic is the default.

-threads {ALL_CPUS|<number>}
Specify number of threads to use to do the resampling and
pan-sharpening itself. Can be an integer number or ALL_CPUS.

-bitdepth <val>
Specify the bit depth of the panchromatic and spectral bands
(e.g. 12). If not specified, the NBITS metadata item from the
panchromatic band will be used if it exists.

-nodata <val>
Specify nodata value for bands. Used for the resampling and
pan-sharpening computation itself. If not set, deduced from
the input bands, provided they have a consistent setting.

-spat_adjust {union|intersection|none|nonewithoutwarning}
Select behavior when bands have not the same extent. See
SpatialExtentAdjustment documentation in Pansharpened VRT
union is the default.

-co <NAME>=<VALUE>
Many formats have one or more optional creation options that
can be used to control particulars about the file created. For
instance, the GeoTIFF driver supports creation options to
control compression, and whether the file should be tiled.

The creation options available vary by format driver, and some
simple formats have no creation options at all. A list of
options supported for a format can be listed with the
--formats command line option but the documentation for the
format is the definitive source of information on driver
creation options. See Raster drivers format specific
documentation for legal creation options for each format.

-q Suppress progress monitor and other non-error output.

<pan_dataset>
Dataset with panchromatic band (first band will be used).

<spectral_dataset>[,band=<num>]
Dataset with one or several spectral bands. If the band option
is not specified, all bands of the datasets are taken into
account. Otherwise, only the specified (num)th band. The same
dataset can be repeated several times.

<out_dataset>
Output dataset

Bands should be in the same projection.

EXAMPLE

With spectral bands in a single dataset :

gdal_pansharpen panchro.tif multispectral.tif pansharpened_out.tif

With a few spectral bands from a single dataset, reordered :

gdal_pansharpen panchro.tif multispectral.tif,band=3 multispectral.tif,band=2 multispectral.tif,band=1 pansharpened_out.tif

With spectral bands in several datasets :

gdal_pansharpen panchro.tif band1.tif band2.tif band3.tif pansharpened_out.tif

Specify weights:

gdal_pansharpen -w 0.7 -w 0.2 -w 0.1 panchro.tif multispectral.tif pansharpened_out.tif

Specify RGB bands from a RGBNir multispectral dataset while computing
the pseudo panchromatic intensity on the 4 RGBNir bands:

gdal_pansharpen -b 1 -b 2 -b 3 panchro.tif rgbnir.tif pansharpened_out.tif

AUTHOR

Even Rouault <even.rouault@spatialys.com>

COPYRIGHT

1998-2025

January 8, 2025 GDAL_PANSHARPEN(1)