maybe now
Browse files- TryForestTools/data.R +58 -0
TryForestTools/data.R
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# Install the ForestTools package if it's not already installed
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if (!require(ForestTools)) install.packages("ForestTools")
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if (!require(terra)) install.packages("terra")
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if (!require(sf)) install.packages("sf")
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if (!require(imager)) install.packages("imager")
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# Load the necessary libraries
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library(ForestTools)
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library(terra)
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library(sf)
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library(imager)
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# Load sample canopy height model provided by ForestTools
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chm_path <- "/Users/taekim/ecohackathon/first_try_lidar/ForestTools/TryForestTools/first-flight/chmtiles/chm_tile_1892_2880.tif"
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if (file.exists(chm_path)) {
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chm <- terra::rast(chm_path)
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} else {
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stop("CHM file does not exist")
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}
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# Check the CHM data
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print("Summary of CHM:")
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summary(chm)
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print(paste("Number of NA values in CHM:", sum(is.na(values(chm)))))
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plot(chm, main = "Canopy Height Model")
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# Function for defining dynamic window size
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lin <- function(x) { x * 0.05 + 0.6 }
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# Detect treetops
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ttops <- vwf(chm, winFun = lin, minHeight = 2)
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print("Treetops detected:")
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print(head(ttops))
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# Plot CHM and treetops
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plot(chm, xlab = "", ylab = "", xaxt = 'n', yaxt = 'n', main = "CHM with Treetops")
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plot(ttops$geometry, col = "blue", pch = 20, cex = 0.5, add = TRUE)
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print(paste("Mean height of treetops:", mean(ttops$height)))
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# Create crown map
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crowns_ras <- mcws(treetops = ttops, CHM = chm, minHeight = 1.5)
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# Plot crowns
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plot(crowns_ras, col = sample(rainbow(50), length(unique(values(crowns_ras))), replace = TRUE), legend = FALSE, xlab = "", ylab = "", xaxt = 'n', yaxt = 'n', main = "Crown Map")
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# Create polygon crown map
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crowns_poly <- mcws(treetops = ttops, CHM = chm, format = "polygons", minHeight = 1.5)
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print("Crown polygons:")
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print(head(crowns_poly))
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# Plot CHM and crown outlines
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plot(chm, xlab = "", ylab = "", xaxt = 'n', yaxt = 'n', main = "CHM with Crown Outlines")
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plot(crowns_poly$geometry, border = "blue", lwd = 0.5, add = TRUE)
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# Compute area and diameter
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crowns_poly[["area"]] <- st_area(crowns_poly)
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crowns_poly[["diameter"]] <- sqrt(crowns_poly[["area"]] / pi) * 2
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print(paste("Mean crown diameter:", mean(crowns_poly$diameter)))
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