lidR v1.3.1

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Airborne LiDAR Data Manipulation and Visualization for Forestry Applications

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.

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CRAN Github licence

R package for Airborne LiDAR Data Manipulation and Visualization for Forestry Applications

The lidR package provides functions to read and write .las and .laz files, plot a point cloud, compute metrics using an area-based approach, compute digital canopy models, thin lidar data, manage a catalog of datasets, automatically extract ground inventories, process a set of tiles in multicore, individual tree segmentation, classify data from geographic data, and provides other tools to manipulate LiDAR data.

Development of the lidR package between 2015 and 2017 was made possible thanks to the financial support of the AWARE project; grantee Prof Nicholas Coops.

Please contact the author for bug reports or feature requests (on github, preferably). I enjoy implementing new features!

  1. Features
  2. Install lidR
  3. Some examples
  4. Changelog

Features (not exhaustive)

Install lidR

  • The latest released version from CRAN with
install.packages("lidR")
  • The latest development version from github with
devtools::install_github("Jean-Romain/rlas", dependencies=TRUE)
devtools::install_github("Jean-Romain/lidR", dependencies=TRUE)

To install the package from github make sure you have a working development environment.

  • Windows: Install Rtools.exe.
  • Mac: Install Xcode from the Mac App Store.
  • Linux: Install the R development package, usually called r-devel or r-base-dev

Some examples

Changelog

See changelogs on NEW.md

Functions in lidR

Name Description
LASheader Create a LASheader object
VCI Vertical Complexity Index
LAScatalog-class An S4 class to represent a set of a .las or .laz files
LASheader-class An S4 class to represent the header read in a .las or .laz file
catalog_options Options Settings for the catalog tools
lasfilter Return points with matching conditions
lasfilters Predefined filters
plot.lasmetrics Plot an object of class lasmetrics in 2D
plot.lasmetrics3d Plot voxelized LiDAR data
catalog_queries Extract LiDAR data based on a set of coordinates
lasclassify Classify LiDAR points from source data
lasclip Clip LiDAR points
lasflightline Retrieve individual flightlines
lasground Classify points as ground or not ground
area Surface covered by a LAS object or by a LAScatalog.
as.lasmetrics Set the class 'lasmetrics' to a data.frame or a data.table
catalog_reshape Reshape (retile) a catalog
catalog_select Select LAS files interactively
lidrpalettes Palettes
plot.LAS Plot LiDAR data
tree_metrics Compute metrics for each tree
writeLAS Write a las or laz file
gap_fraction_profile Gap fraction profile
grid_canopy Canopy surface model
laspulse Retrieve individual pulses
LAD Leaf area density
-,LAS,RasterLayer-method Convenient operator to lasnormalize
as.raster.lasmetrics Transform a lasmetrics object into a spatial RasterLayer object
as.spatial Transform a lidR object into sp object
catalog Build a catalog of las tiles/files
lasroi Select a region of interest interactively
plot.LAScatalog Plot a LAScatalog object
plot.lashexametrics Plot an object of class lashexametrics in 2D
grid_density Map the pulse or point density
grid_hexametrics Compute metrics for hexagonal cells
lascolor Compute the color from RGB fields
lasdecimate Thin LiDAR data
lidr_options Options Settings for the lidR package
plot3d Plot a wireframe of a RasterLayer or a lasmetrics object
readLAS Read .las or .laz files
catalog_apply Apply a user-defined function to an entire catalog in a continuous way
grid_terrain Digital Terrain Model
grid_tincanopy Canopy height model based on a triangulation.
lasscanline Retrieve individual scanline
lastrees Individual tree segmentation
lidR-deprecated Deprecated function(s) in the lidR package
stdmetrics Predefined standard metrics functions
summary.LAS LiDAR data summary
LAS-class An S4 class to represent the data read in a .las or .laz file
LAS Create a LAS object
entropy Normalized Shannon diversity index
extent,LAS-method Extent
grid_metrics Rasterize the space and compute metrics for each cell
grid_metrics3d Voxelize the space and compute metrics for each voxel
lasmetrics Compute metrics for a cloud of points
lasnormalize Subtract digital terrain model
rumple_index Rumple index of roughness
set.colors Automatic colorization
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Details

Type Package
Date 2017-10-30
URL https://github.com/Jean-Romain/lidR
BugReports https://github.com/Jean-Romain/lidR/issues
License GPL-3
LazyData true
RoxygenNote 6.0.1
LinkingTo Rcpp,RcppProgress
Encoding UTF-8
biocViews
Collate 'RcppExports.R' 'catalog_apply.r' 'catalog_index.r' 'catalog_makecluster.r' 'catalog_query.r' 'catalog_reshape.r' 'catalog_select.r' 'class-lasheader.r' 'class-las.r' 'class-lascatalog.r' 'constant.R' 'deprecated.r' 'grid_canopy.r' 'grid_catalog.r' 'grid_density.r' 'grid_hexametrics.r' 'grid_metrics.r' 'grid_metrics3d.r' 'grid_terrain.r' 'grid_tincanopy.r' 'lasaggreagte.r' 'lascheck.r' 'lasclassify.r' 'lasclip.r' 'lascolor.r' 'lasdecimate.r' 'lasfilter.r' 'lasground.r' 'lasindentify.r' 'lasmetrics.r' 'lasnormalize.r' 'lasroi.r' 'lastrees.r' 'lidRError.r' 'metrics.r' 'metrics_canopy_roughness.r' 'mutatebyref.r' 'options.r' 'plot.catalog.r' 'plot.las.r' 'plot.lashexametrics.r' 'plot.lasmetrics.r' 'plot.lasmetrics3d.r' 'plot3d.r' 'readLAS.r' 'subcircled.r' 'tree_metrics.r' 'utils_colors.r' 'utils_geometry.r' 'utils_interpolations.r' 'utils_misc.r' 'utils_progress.r' 'utils_projection.r' 'utils_spatial.r' 'utils_typecast.r' 'writeLAS.r' 'zzz.r'

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