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Raster Cell size from LiDAR data

Calculates the recommended raster cell size from the average point density:

point_density = total point records / catalog area
cell_size     = sqrt(3 / point_density), rounded to the nearest 0.05 map units

The cell size is printed along with the map units of the CRS. The R function pd2cellsize returns cell_size, map_units and point_density, and the DTM and CHM/DSM tools call it to set their output resolution.

Parameter Type Required Description
in_las_folder directory Yes Folder containing the input LAS/LAZ tiles.
processes int No Requested number of parallel workers.
from beratools.tools.rpy_find_cellsize import rpy_find_cellsize

rpy_find_cellsize(in_las_folder="tests/data/LiDAR")

Command line

bt cellsize   # show the parameters
bt cellsize --in_las_folder <las_dir>