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/IECF2020-08003>).
dbscan, Distance, ggvoronoi, htmlwidgets, lidR, moments,
plotly, progress, Rcpp(>= 1.0.7), raster, scales, sp, tidyr,
vroom

dbscan, Distance, ggvoronoi, htmlwidgets, lidR, moments,
plotly, progress, Rcpp(>= 1.0.7), raster, RCSF, scales, sp,
tidyr, vroom

Automatic Processing of Terrestrial-Based Technologies Point
Cloud Data for Forestry Purposes
c(
person("Juan Alberto", "Molina-Valero", role = c("aut", "cph", "cre"),
email = "juanalberto.molina.valero@usc.es"),
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")))
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]
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>).
dbscan, Distance, htmlwidgets, lidR, methods, moments, plotly,
progress, raster, Rcpp(>= 1.0.7), RCSF, scales, sf, sp, tidyr,
VoxR, vroom
devtools, kableExtra, knitr, rmarkdown, testthat