View source: R/lidar_analysis.R
wbt_classify_lidar | R Documentation |
Classify points within a LiDAR point cloud based on point properties.
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 = FALSE, compress_rasters = FALSE, command_only = FALSE )
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. |
verbose_mode |
Sets verbose mode. If verbose mode is |
compress_rasters |
Sets the flag used by WhiteboxTools to determine whether to use compression for output rasters. |
command_only |
Return command that would be executed by |
Returns the tool text outputs.
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