rawtocomposite: rawtocomposite

In waveformlidar: Waveform LiDAR Data Processing and Analysis

Description

The function allows you to convert point cloud after waveformvoxel or raw waveforms into composite waveforms (with vertical distribution of intensity) by reducing the effect of off-naid angle of emitted laser. The conversion is based on the waveform voxellization product. Four kinds of values you can chose to represent the intensity of composite waveform: the number of intensity (generally is not useful), mean intensity, maximum intensity and total intensity (the last one is also not prefered in most of cases).

Usage

rawtocomposite(voxr, inten_index = 2)

Arguments

voxr	the object from the waveformvoxel.
inten_index	the value (1,2,3,4,...) to represnt the intensity of composite waveforms.It is a integer from 1 to 4 and default is 2. 1: the number of intensity of the voxel (generally is not useful); 2: the maximum intensity of the waveform voxel; 3: the mean intensity of the waveform voxel; 4: the total intensity of voxel(the last one is also not prefered in most cases)

Value

A dataframe with first three columns including geolocation xyz of the first Non-NA intensity (Highest position) and intensities along the height bins, other non-NA values are intensities for the rest columns.

x	The x position of the first Non-NA intensity or highest intensity position in one waveform
y	The y position of the first Non-NA intensity or highest intensity position in one waveform
z	The z position of the first Non-NA intensity or highest intensity position in one waveform
intensity 1	The intnesity of first height bin
intensity 2	The intensity of second height bin
...	Intensities along the height bin

Examples

data(return)  ###import raw return waveforms
data(geo)  ###import corresponding reference geolocation
colnames(geo)[2:9]<-c("x","y","z","dx","dy","dz","or","fr")
### you should know which columns corresponding to above column names before
### run the hyperpointcloud when you used your own new datasets.

hpr<-hyperpointcloud(waveform=return,geo=geo)

##beofre run waveformvoxel, we need to create hyperpointcloud first
##this exampel we just used 100000 points to reduce processing time

voxr<-waveformvoxel(hpc=hpr,res=c(1,1,0.3))
rtc<-rawtocomposite(voxr)

waveformlidar documentation built on Aug. 1, 2020, 5:07 p.m.