Description Usage Arguments Value See Also Examples
View source: R/polyStatsLevel2BVPM.R
Computes a Series of Statistics of GEDI derived Canopy Cover and Vertical Profile metrics within a given area defined or not by a polygon
1 | polyStatsLevel2BVPM(level2BVPM, func, id=NULL)
|
level2BVPM |
A GEDI Level2BVPM object (output of |
func |
The function to be applied for computing the defined statistics |
id |
A vector containing the polygon id for each GEDI observation. Default is NULL |
Returns an S4 object of class data.table-class
containting Statistics of GEDI level2BVPM defined metrics
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 42 43 44 45 46 47 48 49 50 51 | # Specifying 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)
# Specifying the path to shapefile
polygon_filepath <- system.file("extdata", "stands_cerrado.shp", package="rGEDI")
# Reading shapefile as SpatialPolygonsDataFrame object
library(raster)
polygon_spdf<-shapefile(polygon_filepath)
# Extracting GEDI Canopy Cover and Vertical Profile Metrics
level2BVPM<-getLevel2BVPM(level2b)
head(level2BVPM)
# Clipping GEDI data by geometry
level2BVPM_clip = clipLevel2BVPMGeometry(level2BVPM, polygon_spdf, split_by="id")
# Define your own function
mySetOfMetrics = function(x)
{
metrics = list(
min =min(x), # Min of x
max = max(x), # Max of x
mean = mean(x), # Mean of x
sd = sd(x)# Sd of x
)
return(metrics)
}
# Computing the max of the Total Plant Area Index
pai_max<-polyStatsLevel2BVPM(level2BVPM_clip,func=max(pai), id=NULL)
pai_max
# Computing the max of the Total Plant Area Index stratified by polygon
pai_max_poly<-polyStatsLevel2BVPM(level2BVPM_clip,func=max(pai), id="poly_id")
head(pai_max_poly)
# Computing the serie of statistics of canopy cover stratified by polygon
cover_metrics<-polyStatsLevel2BVPM(level2BVPM_clip,func=mySetOfMetrics(cover),
id=level2BVPM_clip$id)
head(cover_metrics)
close(level2b)
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