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FORTLS: Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes
Process automation of point cloud data derived from terrestrial-based technologies such as Terrestrial Laser Scanner (TLS) or Simultaneous Localization and Mapping (SLAM). '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>).
Getting started
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Package details |
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| Author | Juan Alberto Molina-Valero [aut, cph, cre], Adela Martínez-Calvo [aut, com], Juan Gabriel Álvarez-González [aut, ths], Fernando Montes [aut], César Pérez-Cruzado [aut, ths] |
| Maintainer | Juan Alberto Molina-Valero <jamolinavalero@gmail.com> |
| License | GPL-3 |
| Version | 1.3.0 |
| URL | https://github.com/Molina-Valero/FORTLS |
| Package repository | View on CRAN |
| Installation |
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