geometric_features_py

This function obtains geometric features at point level

internal

Process automation of point cloud data derived from terrestrial-based technologies such as Terrestrial Laser Scanner (TLS) or Mobile Laser Scanner. 'FORTLS' enables (i) detection of trees and estimation of tree-level attributes (e.g. diameters and heights), (ii) estimation of stand-level variables (e.g. density, basal area, mean and dominant height), (iii) computation of metrics related to important forest attributes estimated in Forest Inventories at stand-level, and (iv) optimization of plot design for combining TLS data and field measured data. Documentation about 'FORTLS' is described in Molina-Valero et al. (2022, <doi:10.1016/j.envsoft.2022.105337>).

Juan Alberto Molina-Valero

FORTLS

Automatic Processing of Terrestrial-Based Technologies Point
Cloud Data for Forestry Purposes

Adela Martínez-Calvo

María José Ginzo Villamayor

Manuel Antonio Novo Pérez

Juan Gabriel Álvarez-González

Fernando Montes

César Pérez-Cruzado

geometric_features_py function

<dl>
 <dt>data</dt>
<dd>data</dd>
 <dt>dist</dt>
<dd>dist</dd>
 <dt>geom_features_input</dt>
<dd>geom_features_input</dd>
 <dt>threads</dt>
<dd>threads</dd>
</dl>

Arguments

Author

This function obtains geometric features at point level — geometric_features_py

<dl>


 <dt>data</dt>
<dd>data</dd>


 <dt>dist</dt>
<dd>dist</dd>


 <dt>geom_features_input</dt>
<dd>geom_features_input</dd>


 <dt>threads</dt>
<dd>threads</dd>
</dl>

This function obtains geometric features at point level

geometric_features_py: This function obtains geometric features at point level

Description

Usage

Value

Arguments

Author