NEXT STEP trainingAirborne Point cloud processing

Self-paced courses on airborne laser scanning related topics including recorded hands-on software training with course specific data sets.

Airborne point cloud basics

  • Project Setup – TerraScan Settings – Import trajectories – Place blocks – Create project – Import points – Adjust elevation
  • Ground classification – Cut overlap – Classify ground – Classify water – Check and improve classification manually – Check point cloud elevation against control points
  • Above ground features classification – Classify vegetation – Classify buildings
Basics of Airborne LiDAR processing - prerecorded trainingOrganizing LiDAR project data using trajectories - tutorialWorking with (open) Airborne LiDAR data - recorded trainingClassify groups - tutorial

Enhancing the quality

  • Importing, preparing, and matching LiDAR data
  • Strip adjustment
  • Checking the elevation accuracy
  • Creating a report of elevation differences between laser points and GCPs
  • Correcting the systematic elevation shift
Introduction to TerraMatch with two use case examplesMatching UAV lidar data - webinar recordingAirborne LiDAR Strip Adjustment using TerraMatch - webinar recordingUse of GCPs in Point Cloud Accuracy Improvement and Reports - webinar recording

Point cloud data end-product extraction

Tree detection in TerraScan - webinar recordingRails Detection in ALS Data - webinar recordingFind poles using TerraScan Object Detection - training recording

Mobile

Processing mobile point cloud data

Powerlines

Processing powerline point cloud data

UAV LiDAR

Processing UAV LiDAR point cloud data

3D City Modeling

Creating digital twins

Photo point cloud

Photogrammetric point cloud processing

Back to Basics page

Beginning of training path