Improving LiDAR QC processes using open source software
summary
LINZ publishes a Python CLI called upqc that implements a check-dataset command to harvest metadata (LAStools linfo, GDAL gdalinfo), run LINZ specification checks, and write a single GeoPackage with embedded QGIS symbology and a summary table. Parallelization via concurrent.futures and avoiding intermediate disk writes drops metadata checks on region datasets from days to about an hour for up to ~40,000 tiles. Additional commands build VRTs per 300 tiles and produce point density rasters using PDAL or LASTools, and the tools are open source on GitHub.
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chapters (11)
- 0:00Introduction to talk
- 0:54National elevation program
- 3:03What is LiDAR and point clouds
- 5:30Current QC process overview
- 7:16Challenges with existing automation
- 9:04Developing new QC application
- 11:09Check dataset command demo
- 13:58Automated point cloud checks
- 15:24Density raster command
- 18:53Results and future plans
- 20:25Q&A session
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