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Classify lidar

Source: R/lidar_analysis.R
wbt_classify_lidar.Rd

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.

Value

Returns the tool text outputs.