voxelize

Voxelize LAS/LAZ point clouds into a downsampled output where each point is a voxel center.

Published on crates.io as voxelaz.

CLI

voxelize --input <path> --output <path> --voxel-size <meters> [--counts-as-intensity] [--include-classification <codes>]

• --input — input LAS/LAZ path (required).
• --output — output LAS/LAZ path (required).
• --voxel-size — edge length of each voxel in meters (required).
• --counts-as-intensity — store per-voxel input point counts and write them to LAS intensity (default: presence-only; intensity stays 0).
• --include-classification — comma-separated classification codes to keep (default: all).

Library

use voxelaz::{ClassificationFilter, VoxelizeConfig, VoxelizeError};

let config = VoxelizeConfig {
    voxel_size: 0.5,
    classification_filter: ClassificationFilter::all(),
    counts_as_intensity: false,
};
match voxelaz::voxelize(input, output, &config) {
    Ok(()) => {}
    Err(VoxelizeError::InvalidVoxelSize) => { /* ... */ }
    Err(e) => return Err(e.into()),
}

Fallible APIs return voxelaz::Result<T> (Result<T, VoxelizeError>). LAS I/O failures surface as VoxelizeError::Las. The CLI binary still reports errors via anyhow; library callers can use ? with anyhow::Result because VoxelizeError implements std::error::Error.

VoxelizeConfig::new(voxel_size) sets classification_filter to all codes and counts_as_intensity to false.