wbt_classify_lidar: Classify lidar
In whitebox: 'WhiteboxTools' R Frontend

wbt_classify_lidar

R Documentation

Classify lidar

Description

Classify points within a LiDAR point cloud based on point properties.

Usage

wbt_classify_lidar(
  input,
  output = NULL,
  radius = 1.5,
  grd_threshold = 0.1,
  oto_threshold = 2,
  planarity_threshold = 0.85,
  linearity_threshold = 0.7,
  iterations = 30,
  facade_threshold = 0.5,
  wd = NULL,
  verbose_mode = NULL,
  compress_rasters = NULL,
  command_only = FALSE
)

Arguments

`input`	Name of the input LiDAR points.
`output`	Name of the output LiDAR points.
`radius`	Search distance used in neighbourhood search (metres).
`grd_threshold`	Ground threshold (metres).
`oto_threshold`	Off-terrain object threshold (metres).
`planarity_threshold`	Planarity threshold (0-1).
`linearity_threshold`	Linearity threshold (0-1).
`iterations`	Number of iterations.
`facade_threshold`	Facade threshold (metres).
`wd`	Changes the working directory. Default: `NULL` will use the value in WhiteboxTools settings, see `wbt_wd()` for details.
`verbose_mode`	Sets verbose mode. If verbose mode is `FALSE`, tools will not print output messages. Default: `NULL` will use the value in WhiteboxTools settings, see `wbt_verbose()` for details.
`compress_rasters`	Sets the flag used by 'WhiteboxTools' to determine whether to use compression for output rasters. Default: `NULL` will use the value in WhiteboxTools settings, see `wbt_compress_rasters()` for details.
`command_only`	Return command that would be executed by `system()` rather than running tool. Default: `FALSE`.