This is a collection of scripts for processing point clouds (LAS/LAZ format files) from airborne lidar or drone photogrammetric surveys. Most of the are command line scripts that allow inputs and outputs to be specified. The scripts depend on several python packages, including RIOS and pylidar. These can be installed into a new Anaconda environment called lidar, with the following command:
conda config --add channels conda-forge
conda config --add channels rios
conda create -n lidar rios scipy numba rios::pynninterp laspy lazrs-python
To use this environment, type:
conda activate lidar
To merge multiple LAZ files into a single LAZ file, for example, when Pix4D creates separate LAZ files for each band:
lazMerge.py --inDir C:\Users\Adrian\Documents\temp --outLaz C:\Users\Adrian\Documents\temp\merged.laz
To create a digital surface model (DSM), digital elevation model (DEM), and canopy height model (CHM) from a LAZ file point cloud produced by structure from motion processing of overlapping drone imagery (e.g. output from Pix4DMapper):
droneLasProcessing.py --inLaz test.laz --epsg 32755 --projectName test --outDir ./ --pixelsize 0.05 --windowsize 40
To create canopy height models (CHMs) from images of maximum height above ground derived from airborne lidar surveys:
interpolateCHM.py --maxh_image test_maxh.tif --grd_image test_grd.tif --chm_image test_chm.tif