TreeLS

Terrestrial Point Cloud Processing of Forest Data

Algorithms for tree detection, noise removal, stem modelling, 3D visualization and manipulation of terrestrial 'LiDAR' (but not only) point clouds, currently focusing on high performance applications for forest inventory - being fully compatible with the 'LAS' infrastructure provided by 'lidR'. For in depth descriptions of the stem classification and segmentation algorithms check out Conto et al. (2017) <doi:10.1016/j.compag.2017.10.019>.

Total

434

Last month

333

Last week

68

Average per day

11

Daily downloads

Total downloads

Description file content

Package
TreeLS
Type
Package
Title
Terrestrial Point Cloud Processing of Forest Data
Version
1.0
Description
Algorithms for tree detection, noise removal, stem modelling, 3D visualization and manipulation of terrestrial 'LiDAR' (but not only) point clouds, currently focusing on high performance applications for forest inventory - being fully compatible with the 'LAS' infrastructure provided by 'lidR'. For in depth descriptions of the stem classification and segmentation algorithms check out Conto et al. (2017) .
URL
Depends
R (>= 3.3.0), data.table (>= 1.12.0), magrittr (>= 1.5), lidR (>= 2.0.0)
Imports
rgl (>= 0.99.0), raster (>= 2.8.19)
License
GPL-3
Encoding
UTF-8
LazyData
true
LinkingTo
Rcpp,BH,RcppEigen
RoxygenNote
6.1.0
NeedsCompilation
yes
Packaged
2019-03-12 21:06:08 UTC; tiago
Author
Tiago de Conto [aut, cre]
Maintainer
Tiago de Conto
Repository
CRAN
Date/Publication
2019-03-13 15:43:25 UTC

install.packages('TreeLS')

1.0

2 months ago

https://github.com/tiagodc/TreeLS

Tiago de Conto

GPL-3

Depends on

R (>= 3.3.0), data.table (>= 1.12.0), magrittr (>= 1.5), lidR (>= 2.0.0)

Imports

rgl (>= 0.99.0), raster (>= 2.8.19)

Discussions