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lidR  

Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
View on CRAN: Click here


Download and install lidR package within the R console
Install from CRAN:
install.packages("lidR")

Install from Github:
library("remotes")
install_github("cran/lidR")

Install by package version:
library("remotes")
install_version("lidR", "4.2.3")



Attach the package and use:
library("lidR")
Maintained by
Jean-Romain Roussel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-31
Latest Update: 2025-06-02
Description:
Airborne LiDAR (Light Detection and Ranging) 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.
How to cite:
Jean-Romain Roussel (2016). lidR: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications. R package version 4.2.3, https://cran.r-project.org/web/packages/lidR. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0.2 (2016-12-31 17:26), 1.1.0 (2017-02-06 00:11), 1.2.0 (2017-03-26 18:12), 1.2.1 (2017-06-13 22:35), 1.3.0 (2017-09-17 05:47), 1.3.1 (2017-09-20 20:09), 1.4.0 (2018-01-24 19:51), 1.4.1 (2018-01-31 13:14), 1.4.2 (2018-04-20 01:01), 1.5.0 (2018-05-14 00:25), 1.5.1 (2018-06-15 00:24), 1.6.0 (2018-07-26 21:40), 1.6.1 (2018-08-22 14:00), 2.0.0 (2019-01-02 10:40), 2.0.1 (2019-02-02 13:30), 2.0.2 (2019-03-03 21:30), 2.0.3 (2019-05-09 20:30), 2.1.0 (2019-07-13 00:30), 2.1.1 (2019-08-06 19:40), 2.1.2 (2019-08-08 17:30), 2.1.3 (2019-09-10 18:20), 2.1.4 (2019-10-15 22:50), 2.2.0 (2020-01-09 00:01), 2.2.1 (2020-01-21 10:30), 2.2.2 (2020-01-28 10:40), 2.2.3 (2020-03-02 20:10), 2.2.4 (2020-04-23 18:30), 2.2.5 (2020-05-11 19:00), 3.0.0 (2020-06-08 10:50), 3.0.1 (2020-06-18 13:10), 3.0.2 (2020-07-05 06:50), 3.0.3 (2020-08-03 08:30), 3.0.4 (2020-10-10 23:40), 3.1.0 (2021-01-18 18:30), 3.1.1 (2021-01-27 12:10), 3.1.2 (2021-03-16 14:40), 3.1.3 (2021-05-20 15:10), 3.1.4 (2021-06-21 16:40), 3.2.0 (2021-09-26 14:50), 3.2.1 (2021-09-29 14:20), 3.2.2 (2021-10-20 11:20), 3.2.3 (2021-11-13 15:30), 4.0.0 (2022-02-18 17:10), 4.0.1 (2022-05-04 10:30), 4.0.2 (2022-12-15 16:10), 4.0.3 (2023-03-09 15:20), 4.0.4 (2023-09-07 17:20), 4.1.0 (2024-02-01 20:40), 4.1.1 (2024-03-05 18:00), 4.1.2 (2024-07-09 10:40), 4.2.0 (2025-05-28 22:50), 4.2.1 (2025-06-02 12:20), 4.2.2 (2025-11-06 07:10), 4.2.3 (2026-01-08 10:10), 4.3.0 (2026-04-02 11:30), 4.3.1 (2026-04-07 07:10), 4.3.2 (2026-04-21 14:32)
Other packages that cited lidR R package
View lidR citation profile
Other R packages that lidR depends, imports, suggests or enhances
Complete documentation for lidR
Functions, R codes and Examples using the lidR R package
Some associated functions: Extract . LAS-class . LAScatalog-class . LASheader-class . LASheader . add_attribute . aggregate . as . asprs . catalog_apply . catalog_boundaries . catalog_retile . catalog_subset . classify . clip . decimate_points . deprecated . dsm_pitfree . dsm_point2raster . dsm_tin . dtm_idw . dtm_kriging . dtm_tin . engine . engine_options . filters . gnd_csf . gnd_mcc . gnd_pmf . identify . interpret_waveform . is . itd_lmf . itd_manual . its_dalponte2016 . its_li2012 . its_silva2016 . its_watershed . las_check . las_compression . las_utilities . lidR-LAScatalog-drivers . lidR-package . lidR-parallelism . lidR-spatial-index . locate_trees . merge_spatial . noise_ivf . noise_sor . normalize . nstdmetrics . old_spatial_packages . pitfill_stonge2008 . plot.lasmetrics3d . plot . plot_3d . plugins . point_metrics . range_correction . rasterize . readLAS . readLAScatalog . readLASheader . sample_homogenize . sample_maxima . sample_per_voxel . sample_random . segment . set_lidr_threads . shape_detection . smooth_height . snag_wing2015 . st_area . st_bbox . st_coordinates . st_crs . st_hull . st_transform . stdmetrics . tools . track_sensor . track_sensor_gatziolis2019 . track_sensor_roussel2020 . voxelize_points . writeLAS . 
Some associated R codes: Class-LAS.R . Class-LAScatalog.R . Class-LAScluster.R . RcppExports.R . add_attribute.R . algorithm-dec.R . algorithm-dsm.R . algorithm-dtm.R . algorithm-gnd.R . algorithm-itd.R . algorithm-its.R . algorithm-noi.R . algorithm-out.R . algorithm-shp.R . algorithm-snag.R . algorithm-trk.R . backward_compatibility.R . catalog_apply.R . catalog_boundaries.R . catalog_fakerun.R . catalog_intersect.R . catalog_laxindex.R . catalog_overlaps.R . catalog_retile.R . catalog_select.R . classify.R . classify_ground.R . classify_noise.R . classify_poi.R . clip_roi.R . decimate_points.R . deprecated.R . doc-drivers.R . doc-lidR.R . doc-parallelism.R . doc-spatialindex.R . engine.R . engine_apply.R . engine_chunks.R . engine_crop.R . engine_index.R . engine_merge.R . engine_options.R . engine_write.R . fasterize.R . filters.R . fullwaveform.R . generate_las.R . io_readLAS.R . io_readLAScatalog.R . io_readXLAS.R . io_writeLAS.R . las_check.R . las_compression.R . las_tools.R . locate_localmaxima.R . locate_trees.R . merge_spatial.R . methods-LAS.R . methods-LAScatalog.R . methods-LAScluster.R . methods-LASheader.R . metrics_cloud.R . metrics_crowns.R . metrics_hexagons.R . metrics_pixels.R . metrics_plot.R . metrics_point.R . metrics_polygon.R . metrics_stdmetrics.R . metrics_template.R . metrics_voxels.R . normalize.R . normalize_height.R . normalize_intensity.R . plot.R . plot.s3.R . plugins.R . print.R . rasterize.R . rasterize_canopy.R . rasterize_density.R . rasterize_terrain.R . retrieve_info.R . segment.R . segment_shapes.R . segment_snags.R . segment_trees.R . smooth_height.R . st_area.R . st_as_sf.R . st_bbox.R . st_coordinates.R . st_crs.R . st_hull.R . st_misc.R . st_transform.R . track_sensor.R . utils_assertive.R . utils_base.R . utils_chm.R . utils_colors.R . utils_constant.R . utils_delaunay.R . utils_geometry.R . utils_is.R . utils_misc.R . utils_raster.R . utils_spatial_index.R . utils_threads.R . voxelize_points.R . zzz.R .  Full lidR package functions and examples
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