compute_pcv

Calculates ambient occlusion using sky visibility algorithm.
Based on Duguet &amp; Girardeau-Montaut (2004).

internal

Implements algorithms for terrestrial, mobile, and airborne lidar processing, tree detection,
segmentation, and attribute estimation (Donager et al., 2021)
<doi:10.3390/rs13122297>, and a hierarchical patch delineation algorithm
'PatchMorph' (Girvetz & Greco, 2007) <doi:10.1007/s10980-007-9104-8>. Tree
detection uses rasterized point cloud metrics (relative neighborhood density and
verticality) combined with RANSAC cylinder fitting to locate tree boles and estimate
diameter at breast height. Tree segmentation applies graph-theory approaches inspired
by Tao et al. (2015) <doi:10.1016/j.isprsjprs.2015.08.007> with cylinder fitting
methods from de Conto et al. (2017) <doi:10.1016/j.compag.2017.07.019>. PatchMorph
delineates habitat patches across spatial scales using organism-specific thresholds.
Built on 'lidR' (Roussel et al., 2020) <doi:10.1016/j.rse.2020.112061>.

Andrew Sanchez Meador

spanner

Utilities to Support Lidar Applications at the Landscape,
Forest, and Tree Scale

Jonathon Donager

Blackburn Ryan

Cannon Jeffery

Tiago de Conto

Keith O'Hara

compute_pcv function

<dl><dt>las</dt>
<dd>LAS object</dd>
<dt>radius</dt>
<dd>Numeric radius for neighborhood search</dd>
<dt>num_directions</dt>
<dd>Integer number of directional rays to cast</dd>
<dt>ncpu</dt>
<dd>Integer number of CPUs to use for parallel processing</dd></dl>

Arguments

Compute PCV (Portion de Ciel Visible) for point cloud — compute_pcv

<dl>

<dt>las</dt>
<dd>LAS object</dd>


<dt>radius</dt>
<dd>Numeric radius for neighborhood search</dd>


<dt>num_directions</dt>
<dd>Integer number of directional rays to cast</dd>


<dt>ncpu</dt>
<dd>Integer number of CPUs to use for parallel processing</dd>

</dl>

compute_pcv: Compute PCV (Portion de Ciel Visible) for point cloud

Description

Usage

Value

Arguments

Details