# gdal_pansharpen

Perform a pansharpen operation.

(Since GDAL 2.1)

## 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 --format 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

### Example 1: With spectral bands in a single dataset

    gdal_pansharpen panchro.tif multispectral.tif pansharpened_out.tif

### Example 2: 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

### Example 3: With spectral bands in several datasets

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

### Example 4: Specifying weights

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

### Example 5: 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