ncr_point_cloud_double

Calculate dominant diameters and heights for simulations for angle-count plots.

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

Arunima Singh

Gokul Kottilapurath Surendran

Juan Gabriel Álvarez-González

Fernando Montes

César Pérez-Cruzado

ncr_point_cloud_double function

<dl>
 <dt>m</dt>
<dd>matrix with points.</dd>
</dl>

Arguments

Juan Alberto Molina-Valero,
 María José Ginzo Villamayor,
 Manuel Antonio Novo Pérez,
 Adela Martínez-Calvo,
 Juan Gabriel Álvarez-González,
 Fernando Montes and
 César Pérez-Cruzado.

Author

Calculate dominant diameters and heights for simulations for angle-count plots. — ncr_point_cloud_double

<dl>


 <dt>m</dt>
<dd>matrix with points.</dd>
</dl>

ncr_point_cloud_double: Calculate dominant diameters and heights for simulations for angle-count plots.

Description

Usage

Value

Arguments

Author