CRAN/E | FORTLS

FORTLS

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

Installation

About

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).

Citation FORTLS citation info
github.com/Molina-Valero/FORTLS
Bug report File report

Key Metrics

Version 1.4.0
R ≥ 4.3.0
Published 2024-01-21 99 days ago
Needs compilation? yes
License GPL-3
CRAN checks FORTLS results

Downloads

Yesterday 8 0%
Last 7 days 79 -7%
Last 30 days 318 +22%
Last 90 days 890 -34%
Last 365 days 4.160 +8%

Maintainer

Maintainer

Juan Alberto Molina-Valero

jamolinavalero@gmail.com

Authors

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

Material

README
Reference manual
Package source

Vignettes

3. Plot design optimization
2. Stand-level
1. Tree-level

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

FORTLS archive

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

Suggests

devtools
kableExtra
knitr
rmarkdown
systemfonts
testthat

LinkingTo

Rcpp
RcppEigen