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. The default is GeoTIFF (GTiff). 'VRT' can also be used. Use the short format name.

-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>