Package: FORTLS
Title: Automatic Processing of TLS Point Cloud Data for Forestry
        Purposes
Version: 1.0.4
Date: 2021-10-22
Authors@R: c(
    person("Juan Alberto", "Molina-Valero", role = c("aut", "cph", "cre"),
    email = "juanalberto.molina.valero@usc.es"),
    person("María José", "Ginzo Villamayor", role = c("aut", "com")),
    person("Manuel Antonio", "Novo Pérez", role = c("aut", "com")),
    person("Adela", "Martínez-Calvo", role = c("aut", "com")),
    person("Juan Gabriel", "Álvarez-González", role = c("aut", "ths")),
    person("Fernando", "Montes", role = "aut"),
    person("César", "Pérez-Cruzado", role = c("aut", "ths")))
Author: Juan Alberto Molina-Valero [aut, cph, cre],
  María José Ginzo Villamayor [aut, com],
  Manuel Antonio Novo Pérez [aut, com],
  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@usc.es>
Description: Process automation of Terrestrial Laser Scanner (TLS) point cloud data derived from single scans. 'FORTLS' enables (i) detection of trees and estimation of diameter at breast height (dbh), (ii) estimation of some stand variables (e.g. density, basal area, mean and dominant height), (iii) computation of metrics related to important forest attributes estimated in Forest Inventories (FIs) 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. (2020, <doi:10.3390/IECF2020-08066>). 
URL: https://github.com/Molina-Valero/FORTLS
BugReports: https://github.com/Molina-Valero/FORTLS/issues
License: GPL-3
Depends: R (>= 3.5.0)
Imports: dbscan, Distance, ggvoronoi, htmlwidgets, lidR, moments,
        plotly, progress, Rcpp(>= 1.0.7), raster, RCSF, scales, sp,
        tidyr, vroom
Suggests: testthat
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2021-10-22 14:48:00 UTC; Juan
Repository: CRAN
Date/Publication: 2021-10-25 07:00:23 UTC
