NAME

       pklas2img - Rasterize LAS/LAZ point clouds with filtering/compositing options

SYNOPSIS

       pklas2img -i lasfile -o output [options] [advanced options]

DESCRIPTION

       pklas2img   converts   a   las/laz  point  cloud  into  a  gridded  raster  dataset.   The
       implementation is based on  liblas  ⟨http://www.liblas.org/⟩  API.   You  can  define  the
       bounding  box,  grid cell size and spatial reference set.  The composite rule for multiple
       returns within a single grid cell can be set with the option -comp.  The default attribute
       is  z  (height), but can also be intensity (if available), the scan angle rank (-n angle),
       the return number (-n return) or the total  number  of  returns  in  that  grid  cell  (-n
       nreturn).   To  select  specific  returns  only, set the option -fir (first, last, single,
       multiple, or all).

OPTIONS

       -i filename, --input filename
              Input las file

       -o filename, --output filename
              Output image file

       -n attribute, --name attribute
              names of the attribute to select: intensity, angle, return, nreturn, z

       -comp composite, --comp composite
              composite for multiple points in cell (min, max, median, mean,  sum,  first,  last,
              profile (percentile height values), number (point density)).  Last: overwrite cells
              with latest point

       -fir type, --filter type
              filter las points (first,last,single,multiple,all).

       -angle_min value, --angle_min value
              minimum scan angle to read points.

       -angle_max value, --angle_max value
              maximum scan angle to read points.

       -a_srs EPSG:number, --a_srs EPSG:number
              assign the projection for the  output  file  in  epsg  code,  e.g.,  epsg:3035  for
              European LAEA projection

       -ulx value, --ulx value
              Upper  left  x value bounding box (in geocoordinates if georef is true).  0 is read
              from input file

       -uly value, --uly value
              Upper left y value bounding box (in geocoordinates if georef is true).  0  is  read
              from input file

       -lrx value, --lrx value
              Lower  right x value bounding box (in geocoordinates if georef is true).  0 is read
              from input file

       -lry value, --lry value
              Lower right y value bounding box (in geocoordinates if georef is true).  0 is  read
              from input file

       -dx value, --dx value
              Output resolution in x (in meter)

       -dy value, --dy value
              Output resolution in y (in meter)

       -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

       -of out_format, --oformat out_format
              Output image format (see also gdal_translate(1)).

       -ret value, --ret value
              number(s) of returns to include

       -class number, --class number
              classes  to  keep:  0  (created, never classified), 1 (unclassified), 2 (ground), 3
              (low vegetation), 4 (medium vegetation), 5 (high vegetation), 6 (building), 7  (low
              point,  noise),  8  (model  key-point), 9 (water), 10 (reserved), 11 (reserved), 12
              (overlap)

       -v level, --verbose level
              verbose mode

       Advanced options

       -nbin value, --nbin value
              Number of percentile bins for calculating percentile height value profile  (=number
              of output bands)

       -nodata value, --nodata value
              nodata value to put in image if not valid

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

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

                                         24 January 2016                             pklas2img(1)