Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes R package FORTLS version 2.0.2 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>). Software Depends: R (>= 4.1.0) Imports: data.table, dbscan, Distance, htmlwidgets, lidR, methods, moments, parallel, plotly, progress, raster, Rcpp(>= 1.1.1), RCSF, reticulate, scales, sf, tidyr, VoxR, vroom LinkingTo: Rcpp, RcppArmadillo, RcppEigen Suggests: devtools, kableExtra, knitr, rmarkdown, systemfonts, testthat Juan Alberto Molina-Valero <jamolinavalero@gmail.com> Comprehensive R Archive Network (CRAN) 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] GPL-3 2026-09-17 application/tgz https://CRAN.R-project.org/package=FORTLS doi:10.32614/CRAN.package.FORTLS