The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

FORTLS: Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes

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: 1.4.0
Depends: R (≥ 4.3.0)
Imports: data.table, dbscan, Distance, htmlwidgets, lidR, methods, moments, parallel, plotly, progress, raster, Rcpp (≥ 1.0.10), RCSF, reticulate, scales, sf, tidyr, VoxR, vroom
LinkingTo: Rcpp, RcppEigen
Suggests: devtools, kableExtra, knitr, rmarkdown, systemfonts, testthat
Published: 2024-01-21
DOI: 10.32614/CRAN.package.FORTLS
Author: Juan Alberto Molina-Valero [aut, cph, cre], Adela Martínez-Calvo [aut, com], Arunima Singh [aut, com], Gokul Kottilapurath Surendran [aut, com], Juan Gabriel Álvarez-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://github.com/Molina-Valero/FORTLS
NeedsCompilation: yes
Citation: FORTLS citation info
Materials: README
CRAN checks: FORTLS results

Documentation:

Reference manual: FORTLS.pdf
Vignettes: 3. Plot design optimization
2. Stand-level
1. Tree-level

Downloads:

Package source: FORTLS_1.4.0.tar.gz
Windows binaries: r-devel: FORTLS_1.4.0.zip, r-release: FORTLS_1.4.0.zip, r-oldrel: FORTLS_1.4.0.zip
macOS binaries: r-release (arm64): FORTLS_1.4.0.tgz, r-oldrel (arm64): FORTLS_1.4.0.tgz, r-release (x86_64): FORTLS_1.4.0.tgz, r-oldrel (x86_64): FORTLS_1.4.0.tgz
Old sources: FORTLS archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FORTLS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.