PiC
3.3.1Interactive Processing and Segmentation of Forest TLS Point-Cloud Data
Overview
Tools for the processing, segmentation, and analysis of terrestrial laser scanning (TLS and MLS) forest point-cloud data. The package provides fast voxel-based processing, classification of point clouds into forest floor, understory, canopy, and woody components, and algorithms for single-tree analysis and structural characterization. Methods are designed to handle large and dense point-cloud datasets efficiently, supporting applications in forest structure assessment, connectivity analysis, and fire-risk evaluation. Input data are provided as '.xyz', '.txt', '.las', or '.laz' point-cloud files. For methodological details, see Ferrara and Arrizza (2025) https://hdl.handle.net/20.500.14243/533471 and Ferrara et al. (2018) doi:10.1016/j.agrformet.2018.04.008.
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- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-07-1112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
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- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 13%
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Package metadata
- First published
- 2025-02-18
- Total releases
- 5 / 1 yrs
- License
- GPL (>= 3) OSI
- Additional repositories
- r-lidar.r-universe.dev
- Minimum R
- ≥ 4.3
- Download size
- 322 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet