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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, package lidR >= 3.1.0 required
• build latest version from source with the devtools package by running in an R 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:

• Tree detection
• Forest field plot coregistration with ALS data
• Forest gaps and edges detection
• Forest structure metrics computation and mapping
• Area-based approach for forest parameters estimation