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: 1.5.3 Depends: R (≥ 4.1.0) Imports: data.table, dbscan, Distance, dplyr, glue, htmlwidgets, lidR, mapview, methods, moments, parallel, plotly, progress, raster, Rcpp (≥ 1.0.10), RCSF, reticulate, Rfast, scales, sf, terra, tidyr, VoxR, vroom LinkingTo: Rcpp, RcppArmadillo, RcppEigen Suggests: devtools, kableExtra, knitr, rmarkdown, systemfonts, testthat Published: 2025-06-12 DOI: 10.32614/CRAN.package.FORTLS Author: Juan Alberto Molina-Valero [aut, cph, cre], Adela MartÃnez-Calvo [aut, com], MarÃa José Ginzo Villamayor [aut, com], Manuel Antonio Novo Pérez [aut, com], Juan Gabriel Ãlvarez-González [aut, ths], Fernando Montes [aut], César Pérez-Cruzado [aut, ths] Maintainer: Juan Alberto Molina-Valero <jamolinavalero at gmail.com> BugReports: https://github.com/Molina-Valero/FORTLS/issues License: GPL-3 URL: https://molina-valero.github.io/FORTLS/, https://github.com/Molina-Valero/FORTLS NeedsCompilation: yes Citation: FORTLS citation info Materials: README CRAN checks: FORTLS results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=FORTLS to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4