Tools to Process Point Clouds Derived from Terrestrial Laser Scanning

A set of tools to process and calculate metrics on point clouds derived from terrestrial LiDAR (Light Detection and Ranging; TLS). 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.


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install.packages("rTLS")

0.2.3.3 by J. Antonio Guzmán Q., 22 days ago


https://github.com/Antguz/rTLS


Report a bug at https://github.com/Antguz/rTLS/issues


Browse source code at https://github.com/cran/rTLS


Authors: J. Antonio Guzmán Q. [cre, aut, ths, cph] , Ronny Hernandez [aut] , Arturo Sanchez-Azofeifa [dgs, sad] , Marius Muja [cph] (Copyright holder for FLANN C++ code) , David G. Lowe [cph] (Copyright holder for FLANN C++ code) , Aguilar Pablo [cph] (Copyright holder for Boost C++ code) , Diggins Christopher [cph] (Copyright holder for Boost C++ code) , Henney Kevlin [cph] (Copyright holder for Boost C++ code) , Yee Jeremy [cph] (Copyright holder for rflann code) , Rabaud Vincent [hnr] (Honored by a work on dynamic_bitset.h)


Documentation:   PDF Manual  


GPL (>= 3) license


Imports alphashape3d, boot, doSNOW, foreach, parallel, Rcpp, RcppProgress, rgeos, rgl, sp

Depends on data.table

Suggests knitr, rmarkdown, covr, testthat

Linking to Rcpp, RcppArmadillo, RcppProgress

System requirements: GNU make


See at CRAN