Automatic Processing of TLS Point Cloud Data for Forestry Purposes

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, ).


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1.0.6 by Juan Alberto Molina-Valero, 3 months ago

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Authors: 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]

Documentation:   PDF Manual  

GPL-3 license

Imports dbscan, Distance, ggvoronoi, htmlwidgets, lidR, moments, plotly, progress, Rcpp, raster, RCSF, scales, sp, tidyr, vroom

Suggests testthat

Linking to Rcpp, RcppEigen

See at CRAN