Provided by: pktools_2.6.7.6+ds-1build1_amd64 bug

NAME

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

SYNOPSIS

       pkcrop -i input -o output [options] [advanced options]

DESCRIPTION

       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(1) instead.

OPTIONS

       -i filename, --input filename
              Input  image  file(s).   If  input contains multiple images, a multi-band output is
              created

       -o filename, --output filename
              Output image file

       -of out_format, --oformat out_format
              Output image format (see also gdal_translate(1)).  Empty string: inherit from input
              image

       -ot type, --otype type
              Data  type  for  output  image ({Byte / Int16 / UInt16 / UInt32 / Int32 / Float32 /
              Float64 / CInt16 / CInt32 / CFloat32 / CFloat64}).  Empty string: inherit type from
              input image

       -b band, --band band
              Band index to crop (leave empty to retain all bands)

       -sband band, --startband band
              Start band sequence number

       -eband band, --endband band
              End band sequence number

       -ulx ULX, --ulx ULX
              Upper left x value bounding box

       -uly ULY, --uly ULY
              Upper left y value bounding box

       -lrx LRX, --lrx LRX
              Lower right x value bounding box

       -lry LRY, --lry LRY
              Lower right y value bounding box

       -dx xres, --dx xres
              Output resolution in x (in meter) (empty: keep original resolution)

       -dy yres, --dy yres
              Output resolution in y (in meter) (empty: keep original resolution)

       -r resampling_method, --resampling-method resampling_method
              Resampling method (near: nearest neighbor, bilinear: bi-linear interpolation).

       -a_srs EPSG:number, --a_srs EPSG:number
              Override  the spatial reference for the output file (leave blank to copy from input
              file, use epsg:3035 to use European projection and force to European grid)

       -nodata value, --nodata value
              Nodata value to put in image if out of bounds.

       Advanced options

       -e vector, --extent vector
              get boundary from extent from polygons in vector file

       -cut, --crop_to_cutline
              Crop the extent of the target dataset to the extent of the cutline

       -eo options, --eo options
              Special         extent         options          controlling          rasterization:
              ATTRIBUTE|CHUNKYSIZE|ALL_TOUCHED|BURN_VALUE_FROM|MERGE_ALG,        e.g.,        -eo
              ATTRIBUTE=fieldname

       -m file, --mask file
              Use the specified file as a validity mask (0 is nodata)

       -msknodata value, --msknodata value
              Mask value not to consider for crop

       -mskband value, --mskband value
              Mask band to read (0 indexed).

       -co NAME=VALUE, --co NAME=VALUE
              Creation option for output file.  Multiple options can be specified.

       -x center_x, --x center_x
              x-coordinate of image center to crop (in meter)

       -y center_y, --y center_y
              y-coordinate of image center to crop (in meter)

       -nx size_x, --nx size_x
              image size in x to crop (in meter)

       -ny size_y, --ny size_y
              image size in y to crop (in meter)

       -ns nsample, --ns nsample
              number of samples to crop (in pixels)

       -nl nlines, --nl nlines
              number of lines to crop (in pixels)

       -as min -as max, --autoscale min --autoscaleautoscale max
              scale output to min and max, e.g., --autoscale 0 --autoscale 255

       -scale scale, --scale scale
              output=scale*input+offset

       -off offset, --offset offset
              output=scale*input+offset

       -ct filename, --ct filename
              colour table in ASCII format having 5 columns: id R G B ALFA (0: transparent,  255:
              solid)

       -align, --align
              Align output bounding box to input image

       -d description, --description description
              Set image description

       -v, --verbose
              verbose

EXAMPLE

       Crop the input image to the given bounding box

       pkcrop -i input.tif -ulx 100 -uly 1000 -lrx 600 -lrx 100 -o output.tif

       Crop  the  input  image  to  the  envelop of the given polygon and mask all pixels outside
       polygon as 0 (using gdal_rasterize(1))

       pkcrop -i input.tif -e extent.shp -o output.tif
       gdal_rasterize -i -burn 0 -l extent extent.shp output.tif
       gdal_rasterize -i -burn 0 -l extent extent.shp output.tif

       Extract bands 3,2,1 (starting from 0) in that order from multi-band raster image input.tif

       pkcrop -i input.tif -b 3 -b 2 -b 1 -o output.tif

       Scale raster floating point image fimage.tif with factor 100  and  write  as  single  byte
       image with the given colourtable (for auto scaling, see next example)

       pkcrop -i fimage.tif -s 100 -ot Byte -o bimage.tif -ct colortable.txt

       Automatically scale raster floating point image fimage.tif to [0:100] and write the output
       as a single byte image with the given colourtable

       pkcrop -i fimage.tif -as 0 -as 100 -ot Byte -o bimage.tif -ct colortable.txt

       Crop raster image large.tif to the bounding box of raster image small.tif and use the same
       pixel size.

       pkcrop -i large.tif $(pkinfo -i small.tif -bb -dx -dy) -o output.tif

SEE ALSO

       pkcomposite(1)

                                         05 January 2019                                pkcrop(1)