Forest_seg {PiC} | R Documentation |
Forest component segmentation
Description
Segments the input .xyz pointcloud file into different forestry layers.
Usage
Forest_seg (a, filename="XXX", dimVox = 2, th = 2,
eps = 2, mpts = 6, h_tree = 1, soil_dim= 0.3,
N = 500, R = 30, Vox_print = FALSE, WoodVox_print = FALSE, output_path = tempdir())
Arguments
a |
- Input file (.xyz) |
filename |
- Output file prefix |
dimVox |
- Voxel dimension (cm) - Default = 2 |
th |
- Minimum number of point to generate a voxel. Default = 2 |
eps |
- size (radius) of the epsilon neighborhood - Default = 1 |
mpts |
- number of minimum points required in the eps neighborhood for core points (including the point itself) - Default = 4 |
h_tree |
- minumum trunk lenght (m) |
soil_dim |
- Voxel dimension (m) for forest floor segmentation - Default = 0.30 |
N |
- Minimum number of voxel in a wood cluster - Default = 1000 |
R |
- R = Standard deviation * Proportion of Variance - Default = 30 |
Vox_print |
- Print point cloud voxelization. Default FALSE |
WoodVox_print |
- Print wood voxelization |
output_path |
Directory in cui scrivere i file di output. Default = tempdir() |
Details
Whole pointcloud segmentation process
Value
6 files (.txt) output. 1. Voxelized pointcloud. 2. Forest floor (vox). 3. AGB (vox) 4. DTM. 5. Wood (vox) 6. AGB no wood