TreeLS (version 1.0)

stemSegmentation: Stem segmentation

Description

Measure stem segments from a classified point cloud.

Usage

stemSegmentation(las, method = sgmt.ransac.circle())

Arguments

las

LAS object.

method

stem segmentation algorithm - currently available: sgmt.ransac.circle.

Value

data.table of stem segments with stem_dt signature.

Examples

# NOT RUN {
### single tree
file = system.file("extdata", "pine.laz", package="TreeLS")
tls = readTLS(file)
tls = stemPoints(tls)
df = stemSegmentation(tls)

head(df)
tlsPlot(tls, df)

### forest plot
file = system.file("extdata", "pine_plot.laz", package="TreeLS")
tls = readTLS(file)

# normalize the point cloud
tls = tlsNormalize(tls)

# map the trees on a resampled point cloud so all trees have approximately the same point density
thin = tlsSample(tls, voxelize(0.02))
map = treeMap(thin, map.hough(min_density = 0.05))

tls = stemPoints(tls, map)
df = stemSegmentation(tls, sgmt.ransac.circle(n=10))

head(df)
tlsPlot(tls, df, map)
# }