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>).
| Version: | 1.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | dbscan, Distance, htmlwidgets, lidR, methods, moments, plotly, progress, raster, Rcpp (≥ 1.0.7), RCSF, scales, sf, sp, tidyr, VoxR, vroom |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | devtools, kableExtra, knitr, rmarkdown, testthat |
| Published: | 2022-06-10 |
| Author: | 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] |
| Maintainer: | Juan Alberto Molina-Valero <juanalberto.molina.valero at usc.es> |
| BugReports: | https://github.com/Molina-Valero/FORTLS/issues |
| License: | GPL-3 |
| URL: | https://github.com/Molina-Valero/FORTLS |
| NeedsCompilation: | yes |
| Citation: | FORTLS citation info |
| Materials: | README |
| CRAN checks: | FORTLS results |
| Reference manual: | FORTLS.pdf |
| Vignettes: |
Plot design optimization Stand-level Tree-level |
| Package source: | FORTLS_1.1.0.tar.gz |
| Windows binaries: | r-devel: FORTLS_1.1.0.zip, r-release: FORTLS_1.1.0.zip, r-oldrel: FORTLS_1.1.0.zip |
| macOS binaries: | r-release (arm64): FORTLS_1.1.0.tgz, r-oldrel (arm64): FORTLS_1.1.0.tgz, r-release (x86_64): FORTLS_1.1.0.tgz, r-oldrel (x86_64): FORTLS_1.1.0.tgz |
| Old sources: | FORTLS archive |
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