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ptr-chm-generator.R
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ptr-chm-generator.R
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#without subcircle, without interpolation = 1, 2, 2
#with subcircle, with interpolation = 0.5, 1, 0.20, 1
library(lidR)
#Read LAS file
LASfile <- system.file("extdata", "Megaplot.laz", package="lidR")
las <- readLAS(LASfile)
# Prompt grid res for CHM
gridRes = readline(prompt = "Enter grid resolution (m): ")
gridRes = as.double(gridRes)
# Prompt for point replacement with subcircle
option1 = readline(prompt = "Replace every point in point cloud with subcircle? [1] for Yes/ [2] for No: ")
if (option1 == 1){
radius = readline(prompt = "Enter the radius of your subcircle (m): ")
radius = as.double(radius)
}else if (option1 ==2){
}else{
print("Err")
}
#Prompt for empty pixel interpolation
option2 = readline(prompt = "Process CHM with empty pixel interpolation using triangular irregular network (TIN)? [1] for Yes/ [2] for No: ")
if (option2 == 1){
if (option1 == 1){ #with subcircle, with interpolation
chm <- rasterize_canopy(las, res = gridRes, algorithm = p2r(subcircle = radius, na.fill = tin()))
}else if (option1 == 2){ #without subcircle, with interpolation
chm <- rasterize_canopy(las, res = gridRes, algorithm = p2r(na.fill = tin()))
}
}else if (option2 == 2){
if (option1 == 1){ #with subcircle, without interpolation
chm <- rasterize_canopy(las, res = gridRes, algorithm = p2r(subcircle = radius))
}else if (option1 == 2){ #without subcircle, without interpolation (default)
chm <- rasterize_canopy(las, res = gridRes, algorithm = p2r())
}
}
#Plot Result (Plots)
plot(chm, col = col)