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FORTLS  

Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes
View on CRAN: Click here


Download and install FORTLS package within the R console
Install from CRAN:
install.packages("FORTLS")

Install from Github:
library("remotes")
install_github("cran/FORTLS")

Install by package version:
library("remotes")
install_version("FORTLS", "1.4.0")



Attach the package and use:
library("FORTLS")
Maintained by
Juan Alberto Molina-Valero
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-01
Latest Update: 2023-08-26
Description:
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, ).
How to cite:
Juan Alberto Molina-Valero (2021). FORTLS: Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes. R package version 1.4.0, https://cran.r-project.org/web/packages/FORTLS. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2021-03-01 10:40), 1.0.1 (2021-03-02 14:20), 1.0.2 (2021-04-21 07:20), 1.0.3 (2021-09-03 18:40), 1.0.4 (2021-10-25 09:00), 1.0.5 (2021-10-30 00:50), 1.0.6 (2021-11-06 16:00), 1.1.0 (2022-06-10 11:00), 1.2.0 (2023-01-08 17:50), 1.3.0 (2023-09-11 11:32)
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