NAME

       gdal_pansharpen -  Perform a pansharpen operation.

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 gdal_vrttut_pansharpen section.

       -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  behavior  when  bands have not the same extent. See SpatialExtentAdjustment
              documentation in gdal_vrttut_pansharpen

       -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.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

AUTHOR

       Even Rouault <even.rouault@spatialys.com>

COPYRIGHT

       1998-2021

                                           Dec 27, 2021                        GDAL_PANSHARPEN(1)