AFWizard v1.0.0

AFWizard is a Python package to enhance the productivity of ground point filtering workflows in archaeology and beyond.
It provides a Jupyter-based environment for "human-in-the-loop" tuned, spatially heterogeneous ground point filterings.

Core features:

• Working with Lidar datasets directly in Jupyter notebooks
  • Loading/Storing of LAS/LAZ files
  • Visualization using hillshade models and slope maps
  • Applying of ground point filtering algorithms
  • Cropping with a map-based user interface
• Accessibility of existing filtering algorithms under a unified data model:
  • PDAL: The Point Data Abstraction Library is an open source library for point cloud processing.
  • OPALS is a proprietary library for processing Lidar data. It can be tested freely for datasets <1M points.
  • LASTools has a proprietary tool called lasground_new that can be used for ground point filtering.
• Access to predefined filter pipeline settings
  • Crowd-sourced library of filter pipelines at https://github.com/ssciwr/afwizard-library/
  • Filter definitions can be shared with colleagues as files
• Spatially heterogeneous application of filter pipelines
  • Assignment of filter pipeline settings to spatial subregions in map-based user interface
  • Command Line Interface for large scale application of filter pipelines