CrownMetrics: LiDAR-derived individual tree crown metrics

In rLiDAR: LiDAR Data Processing and Visualization

Description

Compute individual tree crown metrics from lidar data

Usage

CrownMetrics(xyziId)

Arguments

xyziId

A 5-column matrix with the x, y, z coordinates, intensity and the tree id classification for the LiDAR point cloud.

Details

# List of the individual tree crown metrics:

• TotalReturns: Total number of returns

• ETOP - UTM Easting coordinate of the tree top

• NTOP - UTM Northing coordinate of the tree top

• EMIN - Minimum UTM Easting coordinate

• NMIN - Minimum UTM Northing coordinate

• EMAX - Maximum UTM Easting coordinate

• NMAX - Maxmium UTM Northing coordinate

• EWIDTH - Tree crown width 01

• NWIDTH - Tree crown width 02

• HMAX - Maximum Height

• HMEAN - Mean height

• HSD - Standard deviation of height

• HCV - Coefficient of variation of height

• HMOD - Mode of height

• H5TH - 5th percentile of height

• H10TH - 10th percentile of height

• H20TH - 20th percentile of height

• H25TH - 25th percentile of height

• H30TH - 30th percentile of height

• H40TH - 40th percentile of height

• H50TH - 50th percentile of height

• H60TH - 60th percentile of height

• H70TH - 70th percentile of height

• H75TH - 75th percentile of height

• H80TH - 80th percentile of height

• H90TH - 90th percentile of height

• H95TH - 95th percentile of height

• H99TH - 99th percentile of height

• IMAX - Maximum intensity

• IMEAN - Mean intensity

• ISD - Standard deviation of intensity

• ICV - Coefficient of variation of intensity

• IMOD - Mode of intensity

• I5TH - 5th percentile of intensity

• I10TH - 10th percentile of intensity

• I20TH - 20th percentile of intensity

• I25TH - 25th percentile of intensity

• I30TH - 30th percentile of intensity

• I40TH - 40th percentile of intensity

• I50TH - 50th percentile of intensity

• I60TH - 60th percentile of intensity

• I70TH - 70th percentile of intensity

• I75TH - 75th percentile of intensity

• I80TH - 80th percentile of intensity

• I90TH - 90th percentile of intensity

• I95TH - 95th percentile of intensity

• I99TH - 99th percentile of intensity

Value

Returns A matrix of the LiDAR-based metrics for the individual tree detected.

Author(s)

Carlos Alberto Silva

Examples

#=======================================================================#
# Individual tree detection using K-means cluster
#=======================================================================#
# Importing LAS file:
LASfile <- system.file("extdata", "LASexample1.las", package="rLiDAR")

# Reading LAS file
LAS<-readLAS(LASfile,short=TRUE)

# Setting the xyz coordinates and subsetting the data
xyzi<-subset(LAS[,1:4],LAS[,3] >= 1.37)

# Finding clusters (trees)
clLAS<-kmeans(xyzi[,1:2], 32)

# Set the tree id vector
Id<-as.factor(clLAS$cluster)

# Combining xyzi and tree id 
xyziId<-cbind(xyzi,Id)

#=======================================================================#
#  Computing individual tree LiDAR metrics 
#=======================================================================#

TreesMetrics<-CrownMetrics(xyziId)
head(TreesMetrics)

rLiDAR documentation built on Oct. 5, 2021, 9:07 a.m.