lidaRtRee: Forest Analysis with Airborne Laser Scanning (LiDAR) Data

Provides functions for forest analysis using airborne laser scanning (LiDAR remote sensing) data: tree detection (method 1 in Eysn et al. (2015) <doi:10.3390/f6051721>) and segmentation; forest parameters estimation and mapping with the area-based approach. It includes complementary steps for forest mapping: co-registration of field plots with LiDAR data (Monnet and Mermin (2014) <doi:10.3390/f5092307>); extraction of both physical (gaps, edges, trees) and statistical features from LiDAR data useful for e.g. habitat suitability modeling (Glad et al. (2020) <doi:10.1002/rse2.117>); model calibration with ground reference, and maps export.

Version: 3.1.2
Depends: R (≥ 3.5.0)
Imports: graphics, stats, methods, grDevices, sp, raster, imager, leaps, gvlma, car, reldist, lidR (≥ 3.1.0)
Suggests: testthat (≥ 3.0.0)
Published: 2021-12-09
Author: Jean-Matthieu Monnet ORCID iD [aut, cre], Pascal Obst├ętar ORCID iD [ctb]
Maintainer: Jean-Matthieu Monnet <jean-matthieu.monnet at>
License: GPL-3
NeedsCompilation: no
CRAN checks: lidaRtRee results


Reference manual: lidaRtRee.pdf


Package source: lidaRtRee_3.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): lidaRtRee_3.1.2.tgz, r-oldrel (arm64): lidaRtRee_3.1.2.tgz, r-release (x86_64): lidaRtRee_3.1.2.tgz, r-oldrel (x86_64): lidaRtRee_3.1.2.tgz
Old sources: lidaRtRee archive


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