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>.