Quality control and quality assurance checks for LIDAR data continue to evolve as the industry identifies new ways to help ensure that data collections meet desired usage requirements. The U.S. Geological Survey (USGS) LIDAR Base Specification introduced a definition for spatial density distribution and regularity within LIDAR data. The requirement is that the spatial distribution…
I often find myself running point statistics in LP360 (either LP360 for ArcGIS or the standalone LP360) using the stamp Point Cloud Task tools. This allows me to take multiple samples across the project for point density testing or classification counts. I realized that it is not obvious that you can append to a shape…
LIDAR datasets are large and require extensive quality control and quality assurance procedures to ensure desired accuracies and product results. Statistics play an important role in evaluating LIDAR data in an efficient manner during such this QA/QC process. Statistics can be calculated for the LIDAR project dataset as a whole, for each file in the…
