Antguz/rTLS: 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.
Getting started
Browse package contents
Package details |
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| Maintainer | J. Antonio Guzmán Q. <antguz06@gmail.com> |
| License | GPL (>= 3) |
| Version | 0.2.5.2 |
| URL | https://github.com/Antguz/rTLS |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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