Forest_seg: Forest component segmentation

Description

Segments an input .xyz point cloud file into different forestry layers (soil, wood, foliage), computes individual tree metrics, and provides summary statistics and canopy metrics.

Usage

Forest_seg(
  a,
  filename = "XXX",
  dimVox = 2,
  th = 2,
  eps = 2,
  mpts = 9,
  h_tree = 1,
  soil_dim = 0.1,
  N = 500,
  R = 30,
  Vox_print = FALSE,
  WoodVox_print = FALSE,
  output_path = tempdir(),
  analyze_canopy = TRUE,
  canopy_voxel_size = 0.1,
  min_canopy_height = 1.5,
  coverage_method = "mean_normalized"
)

Value

List containing file paths and metrics for trees and canopy.

Arguments

a: Input point cloud data frame (.xyz) or file path
filename: Output file prefix
dimVox: Voxel dimension (cm) for wood segmentation (default = 2)
th: Minimum number of points to generate a voxel (default = 2)
eps: Epsilon neighborhood radius for DBSCAN (default = 2)
mpts: Minimum points required in eps neighborhood for core points (default = 9)
h_tree: Minimum trunk length in meters (default = 1)
soil_dim: Voxel dimension (m) for forest floor segmentation (default = 0.1)
N: Minimum number of voxels in a wood cluster (default = 500)
R: Cluster shape parameter threshold (default = 30)
Vox_print: Logical; if TRUE, saves point cloud voxelization (default = FALSE)
WoodVox_print: Logical; if TRUE, saves wood voxelization (default = FALSE)
output_path: Output directory (default = tempdir())
analyze_canopy: Logical; if TRUE, performs canopy analysis (default = TRUE)
canopy_voxel_size: Voxel size for canopy analysis in meters (default = 0.1)
min_canopy_height: Minimum height threshold for canopy analysis (default = 1.5)
coverage_method: Method for calculating coverage degree (default = "mean_normalized")