treePoints: Classify individual tree regions in a point cloud
In tiagodc/TreeLS: Terrestrial Point Cloud Processing of Forest Data

treePoints

R Documentation

Classify individual tree regions in a point cloud

Description

Assigns TreeIDs to a LAS object based on coordinates extracted from a treeMap object. Tree region segmentation methods are prefixed by trp.

Usage

treePoints(las, map, method = trp.voronoi())

Arguments

`las`	`LAS` object.
`map`	object generated by `treeMap`.
`method`	tree region algorithm. Currently available: `trp.voronoi` and `trp.crop`.

Value

LAS object.

Examples

file = system.file("extdata", "pine_plot.laz", package="TreeLS")
tls = readTLS(file) %>%
  tlsNormalize %>%
  tlsSample

map = treeMap(tls, map.hough())
tls = treePoints(tls, map, trp.crop(circle=FALSE))

x = plot(tls, size=1)
add_treePoints(x, tls, size=2)
add_treeIDs(x, tls, color='yellow', cex=2)

tiagodc/TreeLS documentation built on June 29, 2023, 7:40 p.m.