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 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>).

Version: 1.4.0
Depends: R (≥ 4.3.0)
Imports: data.table, dbscan, Distance, htmlwidgets, lidR, methods, moments, parallel, plotly, progress, raster, Rcpp (≥ 1.0.10), RCSF, reticulate, scales, sf, tidyr, VoxR, vroom
LinkingTo: Rcpp, RcppEigen
Suggests: devtools, kableExtra, knitr, rmarkdown, systemfonts, testthat
Published: 2024-01-21
DOI: 10.32614/CRAN.package.FORTLS
Author: Juan Alberto Molina-Valero [aut, cph, cre], Adela Martínez-Calvo [aut, com], Arunima Singh [aut, com], Gokul Kottilapurath Surendran [aut, com], Juan Gabriel Álvarez-González [aut, ths], Fernando Montes [aut], César Pérez-Cruzado [aut, ths]
Maintainer: Juan Alberto Molina-Valero <jamolinavalero at>
License: GPL-3
NeedsCompilation: yes
Citation: FORTLS citation info
Materials: README
CRAN checks: FORTLS results


Reference manual: FORTLS.pdf
Vignettes: 3. Plot design optimization
2. Stand-level
1. Tree-level


Package source: FORTLS_1.4.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): FORTLS_1.4.0.tgz, r-oldrel (arm64): FORTLS_1.4.0.tgz, r-release (x86_64): FORTLS_1.4.0.tgz, r-oldrel (x86_64): FORTLS_1.4.0.tgz
Old sources: FORTLS archive


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