R: lidR: airborne LiDAR for forestry applications

lidR-package {lidR} | R Documentation

## lidR: airborne LiDAR for forestry applications

### Description

lidR provides a set of tools to manipulate airborne LiDAR data in forestry contexts. The package works essentially with .las or .laz files. The toolbox includes algorithms for DSM, CHM, DTM, ABA, normalisation, tree detection, tree segmentation and other tools, as well as an engine to process wide LiDAR coverages split into many files.

### Details

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`.

### Package options

`lidR.progress`

  Several functions have a progress bar for long operations (but not all). Should lengthy operations show a progress bar? Default: TRUE

`lidR.progress.delay`

  The progress bar appears only for long operations. After how many seconds of computation does the progress bar appear? Default: 2

`lidR.verbose`

  Make the package verbose. Default: FALSE

`lidR.buildVRT`

  The functions `grid_*` can write the rasters sequentially on the disk and load back a virtual raster mosaic (VRT) instead of the list of written files. Should a VRT be built? Default: TRUE

`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.

### Author(s)

Maintainer: Jean-Romain Roussel jean-romain.roussel.1@ulaval.ca [copyright holder]

Authors:

- David Auty (Reviews the documentation) [contributor]

Other contributors:

- Florian De Boissieu (Fixed bugs and improved catalog features) [contributor]

- Andrew Sánchez Meador (Implemented wing2015() for segment_snags()) [contributor]

- Bourdon Jean-François (Contributed to Roussel2020() for track_sensor()) [contributor]

- Gatziolis Demetrios (Implemented Gatziolis2019() for track_sensor()) [contributor]

- Leon Steinmeier (Contributed to parallelization management) [contributor]

- Stanislaw Adaszewski (Author of the C++ concaveman code) [copyright holder]

### See Also

Useful links:

- https://github.com/Jean-Romain/lidR

- Report bugs at https://github.com/Jean-Romain/lidR/issues

[Package lidR version 3.2.2 Index]