When using Tie Lines for calibrating, or assessing, your airborne LIDAR projects it is often desirable, and in fact recommended to incorporate vertical control into the process. On the other hand, vertical check points are used in conjunction with the Output Control Report tool for reporting project accuracy. The incorporation of vertical control, or known…
TerraScan’s Ground Routine is designed to classify a ground surface from point data. There are multiple parameters within the filter. The following chart is a summary and general guidelines for setting the parameters. Max Building Size Grid size for initial seed surface Smaller is more aggressive, higher fidelity, but more false ground points in initial surface Terrain…
LP360’s Adaptive TIN Ground Filter is designed to classify a ground surface from point data. There are multiple parameters within the filter, especially when using the Advanced Options. The following chart is a summary and general guidelines for setting the parameters. Seed Sample Distance Grid size for initial seed surface. Smaller is more aggressive, higher…
The LIDAR community has been gradually adopting the terminology “Quality Level” to categorize airborne LIDAR data. The idea is to use a simple scheme to characterize the more important features of a LIDAR data set into a few broad groups designated QLn where n is the quality level. LIDAR Quality Levels – Part 1
