datatable_grid

This function create overlapping polygons using the data.table R package

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

datatable_grid function

<dl>
 <dt>data_inp</dt>
<dd>data_inp</dd>
 <dt>dist</dt>
<dd>dist</dd>
 <dt>n_grid</dt>
<dd>n_grid</dd>
 <dt>verify_visually</dt>
<dd>verify_visually</dd>
</dl>

Arguments

Author

This function create overlapping polygons using the data.table R package — datatable_grid

<dl>


 <dt>data_inp</dt>
<dd>data_inp</dd>


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


 <dt>n_grid</dt>
<dd>n_grid</dd>


 <dt>verify_visually</dt>
<dd>verify_visually</dd>
</dl>

This function create overlapping polygons using the data.table R package

datatable_grid: This function create overlapping polygons using the data.table R package

Description

Usage

Value

Arguments

Author