Forest Analysis with Airborne Laser Scanning (LiDAR) Data R package lidaRtRee version 4.0.9 Provides functions for forest objects detection, structure metrics computation, model calibration and mapping with airborne laser scanning: co-registration of field plots (Monnet and Mermin (2014) <doi:10.3390/f5092307>); tree detection (method 1 in Eysn et al. (2015) <doi:10.3390/f6051721>) and segmentation; forest parameters estimation with the area-based approach: model calibration with ground reference, and maps export (Aussenac et al. (2023) <doi:10.12688/openreseurope.15373.2>); extraction of both physical (gaps, edges, trees) and statistical features useful for e.g. habitat suitability modeling (Glad et al. (2020) <doi:10.1002/rse2.117>) and forest maturity mapping (Fuhr et al. (2022) <doi:10.1002/rse2.274>). Software Depends: R (>= 4.0.0) Imports: graphics, stats, methods, grDevices, terra, sf, imager, leaps, gvlma, car, reldist, lidR (>= 4.1.1) Suggests: stars Jean-Matthieu Monnet <jean-matthieu.monnet@inrae.fr> Comprehensive R Archive Network (CRAN) Jean-Matthieu Monnet [aut, cre] (ORCID: <https://orcid.org/0000-0002-9948-9891>), Pascal Obstétar [ctb] (ORCID: <https://orcid.org/0000-0002-2811-7548>) GPL-3 2026-09-23 application/tgz https://CRAN.R-project.org/package=lidaRtRee doi:10.32614/CRAN.package.lidaRtRee