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CspStandSegmentation: Comparative Shortest Path Forest Stand Segmentation from LiDAR Data (original) (raw)

Functionality for segmenting individual trees from a forest stand scanned with a close-range (e.g., terrestrial or mobile) laser scanner. The complete workflow from a raw point cloud to a complete tabular forest inventory is provided. The package contains several algorithms for detecting tree bases and a graph-based algorithm to attach all remaining points to these tree bases. It builds heavily on the 'lidR' package. A description of the segmentation algorithm can be found in Larysch et al. (2025) <doi:10.1007/s10342-025-01796-z>.

Version: 0.1.2
Depends: R (≥ 4.1.0)
Imports: Rcpp (≥ 1.0.5), lidR, dbscan, igraph, foreach, doParallel, magrittr, data.table, sf, terra, RCSF, conicfit, rgl
LinkingTo: Rcpp, RcppArmadillo, lidR, BH
Suggests: testthat (≥ 3.0.0)
Published: 2025-10-28
DOI: 10.32614/CRAN.package.CspStandSegmentation
Author: Julian Frey ORCID iD [aut, cre], Zoe Schindler ORCID iD [ctb]
Maintainer: Julian Frey <julian.frey at wwd.uni-freiburg.de>
BugReports: https://github.com/JulFrey/CspStandSegmentation/issues
License: GPL-3
URL: https://github.com/JulFrey/CspStandSegmentation
NeedsCompilation: yes
Citation: CspStandSegmentation citation info
Materials: README
CRAN checks: CspStandSegmentation results

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