Tools to Process Point Clouds Derived from Terrestrial Laser Scanning
Artificial Forest Stand
Canopy Structure
Cartesian to Polar Coordinates
Adaptive RANSAC Circle Fitting
Euclidean Distance Between 3D points
Filtering of Point Clouds
Geometry features of Neighboring Points.
K Nearest Neighbors
Line-AABB
Intersection of Lines by AABBs
Minimum Distance Between Points
Plot Method for Voxels
Polar to Cartesian Coordinates
Radius Search of Points
Rotate a plane of coordinates
Rotate a Point Cloud
rTLS: Tools to Process Point Clouds Derived From Terrestrial Laser Sca...
Stand Counting
Voxels Summary
Tree Metrics
Tree Trunk Volume
Voxels Counting
Voxelization of a Point Cloud
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.