remove_small_trees: Remove small clusters from segmented point cloud

Description

The function takes a point cloud in which trees were segmented, and removes tree clusters that are smaller than a certain radius or a certain height

Usage

remove_small_trees(
  point_cloud,
  min_radius = 1,
  min_height = -Inf,
  crown_id_column_name = "crown_id"
)
# S4 method for data.frame
remove_small_trees(
  point_cloud,
  min_radius = 1,
  min_height = -Inf,
  crown_id_column_name = "crown_id"
)
# S4 method for LAS
remove_small_trees(
  point_cloud,
  min_radius = 1,
  min_height = -Inf,
  crown_id_column_name = "crown_id"
)
# S4 method for LAScatalog
remove_small_trees(
  point_cloud,
  min_radius = 1,
  min_height = -Inf,
  crown_id_column_name = "crown_id"
)

Value

lidR LAS

Arguments

point_cloud: a point cloud, either as data.frame/data.table, or as lidR::LAS object.
min_radius: (Numeric >= 0) the threshold for crown radius, below which trees will be removed
min_height: (Numeric) the threshold for crown height, below which trees will be removed. Works only if las is normalized.
crown_id_column_name: the name of the column in which the id of the crown is saved

Functions

remove_small_trees(data.frame): removes small tree clusters in a segmented LAS object.
remove_small_trees(LAS): removes small tree clusters in a segmented LAS object.
remove_small_trees(LAScatalog): removes small tree clusters in a segmented LAScatalog.

Details

returns the same las object that was given as input, but with altered crown id's. Trees that are considered too small have their crown id set to NA, and all other crown id's are re-assigned so that they are without gaps