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>).

Version: 1.1.0
Depends: R (≥ 3.5.0)
Imports: dbscan, Distance, htmlwidgets, lidR, methods, moments, plotly, progress, raster, Rcpp (≥ 1.0.7), RCSF, scales, sf, sp, tidyr, VoxR, vroom
LinkingTo: Rcpp, RcppEigen
Suggests: devtools, kableExtra, knitr, rmarkdown, testthat
Published: 2022-06-10
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 <juanalberto.molina.valero at>
License: GPL-3
NeedsCompilation: yes
Citation: FORTLS citation info
Materials: README
CRAN checks: FORTLS results


Reference manual: FORTLS.pdf
Vignettes: Plot design optimization


Package source: FORTLS_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): FORTLS_1.1.0.tgz, r-oldrel (arm64): FORTLS_1.1.0.tgz, r-release (x86_64): FORTLS_1.1.0.tgz, r-oldrel (x86_64): FORTLS_1.1.0.tgz
Old sources: FORTLS archive


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