Description Arguments Value Note Author(s) References Examples
View source: R/laser.metrics.R
Compute the height and density variables from point cloud data according to Naesset 2004.
x |
surface height |
id |
unique idenfitier for which variables will be aggregated |
gtv |
ground threshold value. Default is 2 |
ctv |
canopy threshold value. Default is 95 percentile |
percentiles |
the percentiles to be computed. Defaults to seq(0.1,0.9,0.1) |
prefix |
optional prefix of varaible names |
suffix |
optional suffix of varaible names |
distpre |
indicator of distribution metrics. Default is "H" |
denspre |
indicator of density metrics. Default is "D" |
data.frame with the numbers and proportion of echoes in differnt categories.
Date: Nov 2, 2016
Hans Ole Orka hans.ole.orka@gmail.org
N<c3><a6>sset, E., & Gobakken, T. (2008). Estimation of above- and below-ground biomass across regions of the boreal forest zone using airborne laser. Remote Sens. Environ., 112, 3079-3090
1 2 3 4 5 6 7 8 9 10 11 | data(las)
#First returns
las1 <- subset(las,r==1)
Vars1 <- laser.metrics(las1$z,las1$ID,gtv=1.3,suffix='.F')
head(Vars1)
# Last returns uten single!
las2 <- subset(las,r==n & r != 1)
Vars2 <- laser.metrics(las2$z,las2$ID,gtv=1.3,suffix='.L')
head(Vars2)
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