lidaRtRee
is an R
package that provides functions for forest analysis using airborne laser scanning (lidar remote sensing) data: tree detection / segmentation and area-based approach. It includes complementary steps for forest mapping: extraction of both physical (gaps, edges, trees) and statistical features from lidar data, model calibration with ground reference, and maps export.
Installation:
-
R
>= 4.0.3 recommended, packagelidR
>= 3.1.0 required -
build latest version from source with the
devtools
package by running in anR
console:devtools::install_git("https://gitlab.irstea.fr/jean-matthieu.monnet/lidaRtRee/")
-
windows installation with binary zip file of version 3.0.1: run in an
R
console:install.packages("https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/raw/master/win-binary/lidaRtRee_3.0.1.zip")
Tutorials using lidaRtRee
functions are available on the lidaRtRee_tutorials repository, as Rmarkdown
files, html
and pdf
files, and including datasets to run the code. The wiki presents the different tutorials: