install_fortls_python_deps

Install Python dependencies required by FORTLS

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

install_fortls_python_deps function

<dl><dt>envname</dt>
<dd>Name of the virtual environment or conda environment.</dd>
<dt>method</dt>
<dd>Either "virtualenv", "conda", or "auto".</dd></dl>

Arguments

Install Python dependencies required by FORTLS — install_fortls_python_deps

<dl>

<dt>envname</dt>
<dd>Name of the virtual environment or conda environment.</dd>


<dt>method</dt>
<dd>Either "virtualenv", "conda", or "auto".</dd>

</dl>

install_fortls_python_deps: Install Python dependencies required by FORTLS

Description

Usage

Arguments