A Python tool for processing and analyzing LiDAR point cloud data. Forked from [https://github.com/philwilkes/rxp-pipeline], with additional features for enhanced point cloud processing.

Download the rivlib-2_5_10-x86_64-linux-gcc9.zip (make sure to get the gcc9 version) and the the rdblib-2.4.0-x86_64-linux.tar.gz from the memebers area of the RIEGL website. Place the zipped folder into this directory alongside the install_pdal.sh script.

cd rxp-pipeline
bash install_pdal.sh

• Ground classification using Cloth Simulation Filter (CSF)
• Precise cropping using scan position convex hull
• Full plot output capabilities
• Point cloud downsampling procedures
• Global matrix transformation to GNSS coordinate system

python3 convert.py --project ~/Desktop/SPA19_2021-09-29.PROJ/ --plot-code SPA19 --deviation 15 --reflectance -20 0  --tile 5 --res 0.01 --buffer 1.0 --plot --classify-ground --verbose

See python convert.py --help for all available options.

• Python 3.x
• PDAL
• NumPy
• Pandas
• SciPy

Based on https://github.com/philwilkes/rxp-pipeline with extensions for ground classification, spatial processing, and coordinate transformation.