Tutorial: Quality Control of LIDAR Examples of QC using TerraScan

Before processing large volumes of LIDAR data it is essential to quality control the point cloud. To meet the requirements of the final product some criteria must be fulfilled. For example point density, geometric accuracy and area coverage. This tutorial gives an overview of tools in TerraScan and TerraMatch that can be used for the purpose of LIDAR point cloud quality control.

Contents: 
00:28​ Point density and coverage 
13:49​ Point distribution Data sanity checks 
20:49​ Check intensity values 
30:16​ Check number of echoes in forested areas 
37:30​ Check penetration to ground 
44:58​ Check noise level in point cloud 
50:59​ Relative positional accuracy 
1:03:48​ Absolute positional accuracy
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