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.
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
To learn more about lidR, start with the vignettes: browseVignettes(package = "lidR"). Users can also
find unofficial supplementary documentation in the github wiki pages.
To ask "how to" questions please ask on gis.stackexchange.com
with the tag lidr
.
Useful links: