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CspStandSegmentation is an R-package for the segmentation of single trees from forest point clouds scanned with terrestrial, mobile or unmanned LiDAR systems

Authors: Julian Frey and Zoe Schindler, University of Freiburg, Chair of Forest Growth and Dendroecology

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install.packages('CspStandSegmentation')

Monthly Downloads

234

Version

0.2.0

License

GPL-3

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0

Stars

24

Forks

1

Maintainer

Julian Frey

Last Published

February 17th, 2026

Functions in CspStandSegmentation (0.2.0)

point_center_angle

Returns the angle between the center of the circle and a point in degrees
voxelize_points_mean_attributes

helper function to voxelize a las element
find_base_coordinates_raster

Find stem base position using a density raster approach
forest_inventory

Function to perform a forest inventory based on a segmented las object (needs to contain TreeID)
eigen_decomposition

Fast Eigenvalues decomposition for k nearest neighbors using a C++ function
fast_unlist_dist

helper function to unlist distances computed by dbscan::frNN
fast_unlist

helper function to unlist IDs generated by dbscan::frNN
comparative_shortest_path

helper function for csp_cost_segemntation
fds

Farthest Distance Sampling (Farthest Point Sampling)
add_voxel_coordinates

Add voxel coordinates to a las file
find_base_coordinates_geom

Find stem base position using a geometric feature filtering and clustering approach
add_geometry

Add geometric features to a LAS object
add_las_attributes

Add all las_attributes from las@data to the header of a las element
csp_cost_segmentation

Comparative Shortest Path with cost weighting tree segmentation
plot_inventory

Function to plot the inventory results into a lidR 3d plot of the point cloud
las_merge

Makes one las-object from multiple las-objects
forest_inventory_simple

Function to perform a forest inventory based on a segmented las object (needs to contain TreeID) This version is a faster but more simplistic approach than forest_inventory() for the DBH estimates
ransac_circle_fit

RANSAC circle fitting algorithm specially adapted for tree DBH estimation
suppress_cat

Suppress only the cat() output
point_circle_distance

Helper function to compute distances from a point to the circle
p_dist

Point distance function
p_mat_dist

Point distance function