Overview

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
• The package is available on CRAN, to install run in the R console install.packages("lidaRtRee")
• build development version from source with the devtools package by running in an R console: devtools::install_git("https://gitlab.irstea.fr/jean-matthieu.monnet/lidaRtRee/", branch="dev")

Tutorials

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:

• ALS data checking and preprocessing
• 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