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.TH "GDAL_PANSHARPEN" "1" "Apr 02, 2024" "" "GDAL"
.SH NAME
gdal_pansharpen \-  Perform a pansharpen operation.
.SH SYNOPSIS
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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]
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.SH DESCRIPTION
.sp
The \fBgdal_pansharpen.py\fP script performs a pan\-sharpening operation. It
can create a \(dqclassic\(dq output dataset (such as GeoTIFF), or a VRT
dataset describing the pan\-sharpening operation.
.sp
More details can be found in the \fI\%Pansharpened VRT\fP section.
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.B \-\-help
Show this help message and exit
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.B \-\-help\-general
Gives a brief usage message for the generic GDAL commandline options and exit.
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.B \-of <format>
Select the output format. Starting with GDAL 2.3, if not specified,
the format is guessed from the extension (previously was \fBGTiff\fP). Use
the short format name. \fBVRT\fP can also be used.
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.B \-b <band>
Select band \fIband\fP from the input spectral bands for output. Bands
are numbered from 1 in the order spectral bands are specified.
Multiple \fB\-b\fP switches may be used. When no \-b switch is used, all
input spectral bands are set for output.
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.B \-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.
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.B \-r {nearest|bilinear|cubic|cubicspline|lanczos|average}
Select a resampling algorithm. \fBcubic\fP is the default.
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.B \-threads {ALL_CPUS|<number>}
Specify number of threads to use to do the resampling and
pan\-sharpening itself. Can be an integer number or \fBALL_CPUS\fP\&.
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.B \-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.
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.B \-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.
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.B \-spat_adjust {union|intersection|none|nonewithoutwarning}
Select behavior when bands have not the same extent. See
\fISpatialExtentAdjustment\fP documentation in \fI\%Pansharpened VRT\fP
\fBunion\fP is the default.
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.B \-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.
.sp
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
\fI\%\-\-formats\fP
command line option but the documentation for the format is the
definitive source of information on driver creation options.
See \fI\%Raster drivers\fP format
specific documentation for legal creation options for each format.
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.B \-q
Suppress progress monitor and other non\-error output.
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.B <pan_dataset>
Dataset with panchromatic band (first band will be used).
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.B <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.
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.B <out_dataset>
Output dataset
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.sp
Bands should be in the same projection.
.SH EXAMPLE
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With spectral bands in a single dataset :
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gdal_pansharpen.py panchro.tif multispectral.tif pansharpened_out.tif
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.sp
With a few spectral bands from a single dataset, reordered :
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gdal_pansharpen.py panchro.tif multispectral.tif,band=3 multispectral.tif,band=2 multispectral.tif,band=1 pansharpened_out.tif
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.sp
With spectral bands in several datasets :
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gdal_pansharpen.py panchro.tif band1.tif band2.tif band3.tif pansharpened_out.tif
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.sp
Specify weights:
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gdal_pansharpen.py \-w 0.7 \-w 0.2 \-w 0.1 panchro.tif multispectral.tif pansharpened_out.tif
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.sp
Specify RGB bands from a RGBNir multispectral dataset while computing
the pseudo panchromatic intensity on the 4 RGBNir bands:
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gdal_pansharpen.py \-b 1 \-b 2 \-b 3 panchro.tif rgbnir.tif pansharpened_out.tif
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.SH AUTHOR
Even Rouault <even.rouault@spatialys.com>
.SH COPYRIGHT
1998-2024
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