View source: R/lidar_analysis.R
wbt_lidar_ground_point_filter | R Documentation |
Identifies ground points within LiDAR dataset using a slope-based method.
wbt_lidar_ground_point_filter(
input,
output,
radius = 2,
min_neighbours = 0,
slope_threshold = 45,
height_threshold = 1,
classify = TRUE,
slope_norm = TRUE,
height_above_ground = FALSE,
wd = NULL,
verbose_mode = NULL,
compress_rasters = NULL,
command_only = FALSE
)
input |
Input LiDAR file. |
output |
Output LiDAR file. |
radius |
Search Radius. |
min_neighbours |
The minimum number of neighbouring points within search areas. If fewer points than this threshold are identified during the fixed-radius search, a subsequent kNN search is performed to identify the k number of neighbours. |
slope_threshold |
Maximum inter-point slope to be considered an off-terrain point. |
height_threshold |
Inter-point height difference to be considered an off-terrain point. |
classify |
Classify points as ground (2) or off-ground (1). |
slope_norm |
Perform initial ground slope normalization?. |
height_above_ground |
Transform output to height above average ground elevation?. |
wd |
Changes the working directory. Default: |
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. Default: |
command_only |
Return command that would be executed by |
Returns the tool text outputs.
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