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lidR: Airborne Point Cloud Data Manipulation and Visualization for Forestry Applications

Airborne point cloud interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.

Version: 4.3.3
Depends: R (≥ 3.5.0), methods
Imports: classInt, data.table (≥ 1.12.0), glue, grDevices, lazyeval, Rcpp (≥ 1.0.3), rgl, rlas (≥ 1.8.2), sf, stats, stars, terra (≥ 1.5-17), tools, utils, parallelly
LinkingTo: BH (≥ 1.72.0), Rcpp, RcppArmadillo
Suggests: EBImage, future, geometry, gstat, raster, RCSF, RMCC, rjson, mapview, mapedit, progress, sp, testthat (≥ 2.1.0), knitr, rmarkdown
Published: 2026-09-15
DOI: 10.32614/CRAN.package.lidR
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Implemented wing2015() for segment_snags()), Bourdon Jean-François [ctb] (Contributed to Roussel2020() for track_sensor()), Gatziolis Demetrios [ctb] (Implemented Gatziolis2019() for track_sensor()), Leon Steinmeier [ctb] (Contributed to parallelization management), Stanislaw Adaszewski [cph] (Author of the C++ concaveman code), Benoît St-Onge [cph] (Author of the 'chm_prep' function)
Maintainer: Jean-Romain Roussel <info at r-lidar.com>
BugReports: https://github.com/r-lidar/lidR/issues
License: GPL-3
URL: https://github.com/r-lidar/lidR
NeedsCompilation: yes
Citation: lidR citation info
Materials: README, NEWS
CRAN checks: lidR results

Documentation:

Reference manual: lidR.html , lidR.pdf
Vignettes: 1. LAS formal class (source, R code)
2. LAScatalog formal class (source, R code)
3. LAScatalog processing engine (source, R code)
5. Create a function to process a LAScatalog (source, R code)
4. Speed-up the computations on a LAScatalog (source, R code)

Downloads:

Package source: lidR_4.3.3.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources: lidR archive

Reverse dependencies:

Reverse suggests: crookR, dsmSearch, FuelDeep3D, lacunr, PiC, rcontroll

Linking:

Please use the canonical form https://CRAN.R-project.org/package=lidR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.