PiC: Interactive Processing and Segmentation of Forest TLS Point-Cloud Data

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 .

See also

Useful links:

• https://github.com/rupppy/PiC

• Report bugs at https://github.com/rupppy/PiC/issues

Author

Maintainer: Roberto Ferrara roberto.ferrara@cnr.it (ORCID)

Other contributors:

• Stefano Arrizza stefano.arrizza@cnr.it (ORCID) [contributor]