lidR: airborne LiDAR for forestry applications
lidR provides a set of tools to manipulate airborne LiDAR data in forestry contexts. The package works with .las or .laz files. The toolbox includes algorithms for DSM, CHM, DTM, ABA, normalisation, tree detection, tree segmentation, tree delineation, colourization, validation and other tools, as well as a processing engine to process broad LiDAR coverage split into many files. package
To learn more about lidR, start with the vignettes: browseVignettes(package = "lidR"). Users can also find unofficial supplementary documentation in the lidR book. To ask "how to" questions please ask on gis.stackexchange.com
with the tag lidr
.
lidR.progress
: Several functions have a progress bar for long operations (but not all). Should lengthy operations show a progress bar? Default: TRUElidR.progress.delay
: The progress bar appears only for long operations. After how many seconds of computation does the progress bar appear? Default: 2lidR.raster.default
: The functions that return a raster are raster agnostic meaning that they work either with rasters from packages raster
, stars
or terra
. By default they return rasters from stars
. Can be one of "raster", "stars" or "terra". Default: "terra"lidR.check.nested.parallelism
: The catalog processing engine (catalog_apply ) checks the parallel strategy chosen by the user and verify if C++ parallelization with OpenMP should be disabled to avoid nested parallel loops. Default: TRUE. If FALSE the catalog processing engine will not check for nested parallelism and will respect the settings of set_lidr_threads .Useful links:
Maintainer : Jean-Romain Roussel jean-romain.roussel.1@ulaval.ca [copyright holder]
Authors:
Other contributors: