Lidar Processing Training Agenda

Using the point cloud processing tools in Global Mapper and Global Mapper Pro, this class will explore all aspects of lidar processing from initial data quality assurance to 3D analysis. The class will introduce the structure and characteristics of lidar data before following a series of workflows that demonstrate the point cloud visualization, editing, filtering, and analysis capabilities of the software.

The instruction technique is hands-on so each attendee should have a Windows-based laptop computer with the latest build of Global Mapper Pro installed. If necessary, a temporary license file will be provided to enable all of the functionality of the software for the duration of the class. All data used during the class will be provided via download prior to the class.

As a prerequisite for attending this class, attendees must have an understanding of the basic principles of GIS and preferably experience with Global Mapper. To make the best use of the available time, the core functionality of the software, such as file management, interface navigation, tool selection, etc. will not be covered in the class. Attendees who are new to Global Mapper are strongly encouraged to sign up for the Global Mapper course that precedes the Lidar Processing training class.

Training Agenda

The following topics will be covered in the Lidar Processing training class:

  • The Structure and Characteristics of Lidar Data
    • What is lidar?
    • Where to find point cloud data
    • Importing lidar files
    • Creating lidar data from XYZ files
    • Point cloud attribute analysis
    • Measuring point cloud coverage area
  • Creating a Point Cloud Using the Pixels to Points Tool
    • An introduction to the principles of Structure from Motion (SfM)
    • Visualizing UAV images as Picture Points
    • Creating image coverage polygons
    • Point cloud options and settings
    • Assigning ground control points
    • Generating the point cloud
    • Creating an orthoimage
    • Creating a 3D mesh
  • Point Cloud Visualization
    • Symbolizing lidar points
    • Applying colors to a point cloud
    • Creating a cross-sectional view of a point cloud
    • Rendering lidar in the 3D Viewer
  • Lidar Filtering
    • Querying lidar attributes
    • Filtering based on classification and return type
    • Filtering based on elevation range
    • Geographic filtering or cropping
    • Removing noise points
    • Thinning a point cloud
  • Lidar Editing
    • Manual point editing in the 2D View
    • Point editing in the Profile View
    • Lidar segmentation
    • Reprojecting lidar
    • Shifting or rectifying a lidar layer
    • Lidar QC (vertical rectification)
    • Lidar Best Fit
  • Automatically Reclassifying a Point Cloud
    • Identifying and reclassifying ground points
    • Identifying and reclassifying vegetation and building points
    • Identifying and reclassifying utility cable points
  • Extracting Vector Features from Lidar Data
    • Extracting building footprints, walls, and roof planes
    • Extracting tree points
    • Extracting utility cables
    • Extracting features in the Path Profile window
    • Creating a 3D mesh from a point cloud
  • DEM Creation and Terrain Analysis
    • Triangulating lidar points
    • Binning points to create a DTM or DSM
    • Hydro-flattening water features
    • Terrain Painting
    • Detecting change in individual points
    • Detecting change using a DSM
  • Exporting Lidar data
    • Exporting .las or .laz files
    • Creating a 3D PDF from lidar data

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