Description Usage Arguments Value See Also Examples
View source: R/gridStatsLevel2BVPM.R
This function computes a series of user defined descriptive statistics within each grid cell for GEDI derived Canopy Cover and Vertical Profile Metrics (Level2B)
1 | gridStatsLevel2BVPM(level2BVPM, func, res)
|
level2BVPM |
A GEDI Level2AM object (output of |
func |
The function(s) to be applied to each cell |
res |
Spatial resolution in decimal degrees for the output raster layer |
Returns a raster layer(s) of selected GEDI Canopy Cover and Vertical Profile Metric(s)
https://lpdaac.usgs.gov/products/gedi02_bv001/
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | # specify the path to GEDI level2B data (zip file)
outdir = tempdir()
level2B_fp_zip <- system.file("extdata",
"GEDI02_B_2019108080338_O01964_T05337_02_001_01_sub.zip",
package="rGEDI")
# Unzipping GEDI level2A data
level2Bpath <- unzip(level2B_fp_zip,exdir = outdir)
# Reading GEDI level2B data (h5 file)
level2b<-readLevel2B(level2Bpath=level2Bpath)
# Get GEDI derived Canopy Cover and Vertical Profile Metrics
level2BVPM<-getLevel2BVPM(level2b)
head(level2BVPM)
#' Define your own function
mySetOfMetrics = function(x)
{
metrics = list(
min =min(x), # Min of z
max = max(x), # Max of z
mean = mean(x), # Mean of z
sd = sd(x)# Sd of z
)
return(metrics)
}
#' Computing a serie of statistics of GEDI derived canopy cover
cover_stats<-gridStatsLevel2BVPM(level2BVPM = level2BVPM, func=mySetOfMetrics(cover), res=0.005)
plot(cover_stats)
#' Computing the max of the Total Plant Area Index only
pai_max<-gridStatsLevel2BVPM(level2BVPM = level2BVPM, func=max(pai), res=0.005)
plot(pai_max)
#' Computing the Foliage Height Diversity Index only
fhd_mean<-gridStatsLevel2BVPM(level2BVPM = level2BVPM, func=mean(fhd_normal), res=0.005)
plot(fhd_mean)
close(level2b)
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