canopy_model: Canopy model generation from normalized las
In weecology/NeonTreeEvaluation_package: Evaluate Individual Tree Segmentation Algorithms against Benchmark Data
canopy_model R Documentation
Canopy model generation from normalized las
Description
canopy_model returns a canopy height raster from a lidR point cloud
Usage
canopy_model(las, res = 0.5)
Arguments
las
A lidar cloud read in by lidR package
res
Cell resolution in meters
Value
A raster with the canopy height estimated for each grid cell.
Examples
library(lidR)
path <- get_data("SJER_052", "lidar")
las<-readLAS(path)
plot(canopy_model(las))
weecology/NeonTreeEvaluation_package documentation built on Aug. 27, 2024, 10:53 a.m.
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| canopy_model | R Documentation |
Canopy model generation from normalized las
Description
canopy_model returns a canopy height raster from a lidR point cloud
Usage
canopy_model(las, res = 0.5)
Arguments
las |
A lidar cloud read in by lidR package |
res |
Cell resolution in meters |
Value
A raster with the canopy height estimated for each grid cell.
Examples
library(lidR)
path <- get_data("SJER_052", "lidar")
las<-readLAS(path)
plot(canopy_model(las))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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