Stable

Segment individual tree crowns from LiDAR using adaptive bandwidth and vegetation filtering.

Parameters

NameDescriptionRequiredDefault
inputInput LiDAR path or typed LiDAR object.Required—
only_use_vegIf true, process only vegetation classes (default true).Optional—
veg_classesVegetation classes as comma-delimited text or integer array (default '3,4,5').Optional—
min_heightMinimum point height for segmentation (default 2.0).Optional—
max_heightOptional maximum point height.Optional—
bandwidth_minMinimum horizontal bandwidth (default 1.0).Optional—
bandwidth_maxMaximum horizontal bandwidth (default 6.0).Optional—
adaptive_bandwidthEstimate per-seed horizontal bandwidth from local crown geometry (default true).Optional—
adaptive_neighborsNeighbour count used for adaptive local density scale (default 24).Optional—
adaptive_sector_countNumber of angular sectors for local crown-radius estimation (default 8).Optional—
grid_accelerationUse MeanShift++-style grid approximation for faster mode updates (default false).Optional—
grid_cell_sizeGrid cell size for accelerated mode updates (default 0.5).Optional—
grid_refine_exactRun short exact-neighbour refinement after grid acceleration (default false).Optional—
grid_refine_iterationsExact refinement iteration cap after grid mode updates (default 2).Optional—
tile_sizeOptional tile size for seed scheduling; <=0 disables tiling (default 0.0).Optional—
tile_overlapTile overlap width for tiled seed scheduling (default 0.0).Optional—
vertical_bandwidthVertical kernel bandwidth (default 5.0).Optional—
max_iterationsMaximum mean-shift iterations per seed (default 30).Optional—
convergence_tolConvergence tolerance for shift magnitude (default 0.05).Optional—
min_cluster_pointsMinimum points per retained tree cluster (default 50).Optional—
mode_merge_distDistance threshold for merging converged modes (default 0.8).Optional—
threadsThread count override (0 uses default Rayon pool).Optional—
simdEnable SIMD-assisted arithmetic in weighting loops (default true).Optional—
output_id_modeOutput segment id encoding {rgb|user_data|point_source_id|rgb+user_data|rgb+point_source_id} (default rgb).Optional—
output_sidecar_csvIf true, write point_index,segment_id CSV beside lidar output.Optional—
seedDeterministic seed for colour mapping (default 1).Optional—
outputOptional output LiDAR path.Optional—

Project Links

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