NAME

       gdal_pansharpenPerform a pansharpen operation.

       (Since GDAL 2.1)

SYNOPSIS

       gdal_pansharpen [--help-general] pan_dataset {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

       The gdal_pansharpen.py script 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 VRT tutorial.

       -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 (default),cubicspline,lanczos,average}:
           Select a resampling algorithm.

       -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 (default),intersection,none,nonewithoutwarning}:
           Select  behaviour  when  bands have not the same extent. See SpatialExtentAdjustment documentation in
           VRT tutorial

       -co 'NAME=VALUE':
           Passes a creation option to the output format driver. Multiple -co options may be listed. See  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.py panchro.tif multispectral.tif pansharpened_out.tif

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

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

       Specify weights:

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

AUTHORS

       Even Rouault <even.rouault at spatialys.com>

GDAL                                             Sun Mar 29 2020                              gdal_pansharpen(1)