tree_raster: Tree raster summary function

In RCBlackburn/lidRmts: Area based lidar attributes

Tree raster summary function

Description

This function provides individual tree-based variables including number of trees (ntrees), height of trees (ht), number of points per tree (npts), and crown area (ca). These variables are summarized within each pixel including the mean, median, variance, standard deviation, coefficient of variation, IQR, skewness, and kurtosis

Usage

tree_raster(las, rast_res)

Arguments

las	las object with tree ID column
rast_res	desired spatial resolution of raster

Examples

LASfile <- system.file("extdata", "Megaplot.laz", package="lidR")
las <- readLAS(LASfile)
las <- filter_poi(las, Classification != LASNOISE)
las <- normalize_height(las, knnidw(k = 8, p = 2))
las <- filter_poi(las, Z < 50 & Z >= 1.37 )
las <- decimate_points(las, random_per_voxel(res = 1, n = 8))
las_tree <- segment_trees(las, li2012())
tree_metrics <- tree_raster(las_tree, rast_res = 20)
plot(tree_metrics)

RCBlackburn/lidRmts documentation built on Aug. 2, 2024, 11:21 a.m.