View source: R/gridStatsLevel2AM.R
gridStatsLevel2AM | R Documentation |
This function computes a series of user defined descriptive statistics within each grid cell for GEDI derived Elevation and Height Metrics (Level2A)
gridStatsLevel2AM(level2AM, func, res)
level2AM |
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 stars raster layer |
Return a stars raster layer(s) of selected GEDI Elevation and Height Metric(s)
https://lpdaac.usgs.gov/products/gedi02_av002/
# specify the path to GEDI level2A data (zip file)
outdir <- tempdir()
level2A_fp_zip <- system.file("extdata",
"GEDI02_A_2019108080338_O01964_T05337_02_001_01_sub.zip",
package = "rGEDI"
)
# Unzipping GEDI level2A data
level2Apath <- unzip(level2A_fp_zip, exdir = outdir)
# Reading GEDI level2A data (h5 file)
level2a <- readLevel2A(level2Apath = level2Apath)
# Get GEDI derived Elevation and Height Metrics
level2AM <- getLevel2AM(level2a)
head(level2AM)
#' 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 GEDI metrics
ZTstats <- gridStatsLevel2AM(
level2AM = level2AM,
func = mySetOfMetrics(elev_highestreturn),
res = 0.005
)
plot(ZTstats)
#' Computing the maximum of RH100 only
maxRH100 <- gridStatsLevel2AM(level2AM = level2AM, func = mySetOfMetrics(rh100), res = 0.0005)
plot(maxRH100)
#' Computing the mean of ZG only
ZGmean <- gridStatsLevel2AM(level2AM = level2AM, func = mean(elev_lowestmode), res = 0.005)
plot(ZGmean)
close(level2a)
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