pkcrop

perform raster data operations on image such as crop, extract and stack bands

SYNOPSIS

Usage: pkcrop -i input -o output

Options: [-of out_format] [-ot {Byte/Int16/UInt16/UInt32/Int32/Float32/Float64/CInt16/CInt32/CFloat32/CFloat64}] [-b band]* [-ulx ULX -uly ULY -lrx LRX -lry LRY] [-dx xres] [-dy yres] [-r resampling_method] [-a_srs epsg:number] [-nodata value]

Advanced options: [-e vector [-cut] [-eo option]*] [-sband band -eband band]* [-co NAME=VALUE]* [-x center_x -y center_y] [-nx size_x -ny size_y] [-ns nsample -nl nlines] [-as min -as max] [-scale value]* [-off offset]* [-ct colortable] [-d description] [-align]

Description

The utility pkcrop can subset and stack raster images. In the spatial domain it can crop a bounding box from a larger image. The output bounding box is selected by setting the new corner coordinates using the options -ulx -uly -lrx -lry. Alternatively you can set the new image center (-x -y) and size. This can be done either in projected coordinates (using the options -nx -ny) or in image coordinates (using the options -ns -nl). You can also use a vector file to set the new bounding box (option -e). In the spectral domain, pkcrop allows you to select individual bands from one or more input image(s). Bands are stored in the same order as provided on the command line, using the option -b. Band numbers start with index 0 (indicating the first band). The default is to select all input bands. If more input images are provided, the bands are stacked into a multi-band image. If the bounding boxes or spatial resolution are not identical for all input images, you should explicitly set them via the options. The pkcrop utility is not suitable to mosaic or composite images. Consider the utility pkcomposite instead.

Options

• use either -short or --long options (both --long=value and --long value are supported)
• short option -h shows basic options only, long option --help shows all options

  short	long	type	default	description
  i	input	std::string		Input image file(s). If input contains multiple images, a multi-band output is created
  o	output	std::string		Output image file
  a_srs	a_srs	std::string		Override the projection for the output file (leave blank to copy from input file, use epsg:3035 to use European projection and force to European grid
  ulx	ulx	double	0	Upper left x value bounding box
  uly	uly	double	0	Upper left y value bounding box
  lrx	lrx	double	0	Lower right x value bounding box
  lry	lry	double	0	Lower right y value bounding box
  b	band	unsigned short		band index to crop (leave empty to retain all bands)
  sband	startband	unsigned short		Start band sequence number
  eband	endband	unsigned short		End band sequence number
  as	autoscale	double		scale output to min and max, e.g., –autoscale 0 –autoscale 255
  ot	otype	std::string		Data type for output image ({Byte/Int16/UInt16/UInt32/Int32/Float32/Float64/CInt16/CInt32/CFloat32/CFloat64}). Empty string: inherit type from input image
  of	oformat	std::string	GTiff	Output image format (see also gdal_translate)
  ct	ct	std::string		color table (file with 5 columns: id R G B ALFA (0: transparent, 255: solid)
  dx	dx	double		Output resolution in x (in meter) (empty: keep original resolution)
  dy	dy	double		Output resolution in y (in meter) (empty: keep original resolution)
  r	resampling-method	std::string	near	Resampling method (near: nearest neighbor, bilinear: bi-linear interpolation).
  e	extent	std::string		get boundary from extent from polygons in vector file
  cut	crop_to_cutline	bool	false	Crop the extent of the target dataset to the extent of the cutline
  eo	eo	std::string		special extent options controlling rasterization: ATTRIBUTE or CHUNKYSIZE or ALL_TOUCHED or BURN_VALUE_FROM or MERGE_ALG, e.g., -eo ATTRIBUTE=fieldname
  m	mask	std::string		Use the specified file as a validity mask (0 is nodata)
  msknodata	msknodata	float	0	Mask value not to consider for crop
  mskband	mskband	short	0	Mask band to read (0 indexed)
  co	co	std::string		Creation option for output file. Multiple options can be specified.
  x	x	double		x-coordinate of image center to crop (in meter)
  y	y	double		y-coordinate of image center to crop (in meter)
  nx	nx	double		image size in x to crop (in meter)
  ny	ny	double		image size in y to crop (in meter)
  ns	ns	int		number of samples to crop (in pixels)
  nl	nl	int		number of lines to crop (in pixels)
  scale	scale	double		output=scale*input+offset
  off	offset	double		output=scale*input+offset
  nodata	nodata	float		Nodata value to put in image if out of bounds.
  align	align	bool		Align output bounding box to input image
  d	description	std::string		Set image description

  Examples

Some examples how to use pkcrop can be found here