rTLS: Processing of Point Clouds Derived from Terrestrial Laser Scanning

A set of tools to process and calculate metrics on point clouds derived from terrestrial laser scanning (TLS) also know as terrestrial LiDAR (Light Detection and Ranging). Its creation is based on key aspects of the TLS application in forestry and ecology. Currently, the main routines are based on filtering, neighboring features of points, voxelization, canopy structure, and the creation of artificial stands. It is written using data.table and 'C++' language and in most of the functions it is possible to use parallel processing to speed-up the routines.

Package details

AuthorJ. Antonio Guzmán Q. [cre, aut, ths, cph] (<https://orcid.org/0000-0002-0721-148X>), Ronny Hernandez [aut] (<https://orcid.org/0000-0001-6225-7096>), Arturo Sanchez-Azofeifa [dgs, sad] (<https://orcid.org/0000-0001-7768-6600>)
MaintainerJ. Antonio Guzmán Q. <antguz06@gmail.com>
LicenseGPL (>= 3)
Version0.2.5.6
URL https://github.com/Antguz/rTLS
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("rTLS")

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rTLS documentation built on Dec. 28, 2022, 1:28 a.m.