Floseg

Segments the input .xyz pointcloud file into different forestry layers: forest floor and above ground biomass.

Provides advanced algorithms for analyzing pointcloud data from terrestrial laser scanner in
forestry applications. Key features include fast voxelization of
large datasets; segmentation of point clouds into forest floor,
understorey, canopy, and wood components. The package enables
efficient processing of large-scale forest pointcloud data, offering
insights into forest structure, connectivity, and fire risk
assessment. Algorithms to analyze pointcloud data (.xyz input file).
For more details, see Ferrara & Arrizza (2025) <https://hdl.handle.net/20.500.14243/533471>.
For single tree segmentation details, see Ferrara et al. (2018)
<doi:10.1016/j.agrformet.2018.04.008>.

Roberto Ferrara

Pointcloud Interactive Computation

Stefano Arrizza

Floseg function

<dl><dt>a</dt>
<dd>- Input file (.xyz)</dd>
<dt>filename</dt>
<dd>- Output file prefix</dd>
<dt>soil_dim</dt>
<dd>- Voxel dimension (m) for forest floor segmentation - Default = 0.30</dd>
<dt>th</dt>
<dd>- Minimum number of point to generate a voxel. Default = 20</dd>
<dt>N</dt>
<dd>- Minimum number of voxel to generate a cluster. Default = 500</dd>
<dt>output_path</dt>
<dd>Directory where output files will be written. Default = tempdir()</dd></dl>

Arguments

Forest floor segmentation — Floseg

<dl>

<dt>a</dt>
<dd>- Input file (.xyz)</dd>


<dt>filename</dt>
<dd>- Output file prefix</dd>


<dt>soil_dim</dt>
<dd>- Voxel dimension (m) for forest floor segmentation - Default = 0.30</dd>


<dt>th</dt>
<dd>- Minimum number of point to generate a voxel. Default = 20</dd>


<dt>N</dt>
<dd>- Minimum number of voxel to generate a cluster. Default = 500</dd>


<dt>output_path</dt>
<dd>Directory where output files will be written. Default = tempdir()</dd>

</dl>

Floseg: Forest floor segmentation

Description

Usage

Value

Arguments