Lidar Module Training Agenda

Using Global Mapper and the accompanying Lidar Module, 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, and analysis capabilities of the software.

The instruction technique is hands-on so each attendee must bring a Windows-based laptop computer to the class with the latest build of Global Mapper installed. If necessary, a temporary license file will be provided to enable all of the functionality of the software as well as the Lidar Module for the duration of the class. All data used during the class will be provided via FTP 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 following topics will not be covered in the class: the core functionality of the software, such as file management, interface navigation, tool selection, etc. Attendees who are new to Global Mapper are strongly encouraged to sign up for the two-day Global Mapper course that usually precedes the Lidar Module class.

Training Agenda

The following topics will be covered in the one-day Lidar Module class:

  • The Structure and Characteristics of Lidar data
    • What is Lidar?
    • 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 photogrammetry
    • Visualizing UAV images as Picture Points
    • Point cloud options and settings
    • Creating an orthoimage
    • Generating the point cloud
  • 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
  • Lidar Editing
    • Manual point editing in the 2D View
    • Point editing in the Profile View
    • Reprojecting Lidar
    • Shifting or rectifying a Lidar layer
    • Lidar QC (vertical rectification)
  • 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 roof areas
    • Extracting trees
    • Extracting utility cables
    • Extracting features in the Path Profile window
  • Gridding a Point Cloud to Create a DTM or DSM
    • Triangulating Lidar points
    • Binning points to create a DTM or DSM
    • Hydro-flattening water features
  • Terrain Analysis and Volume Calculation
    • Change generation
    • Calculating pile volume
    • Cut and Fill Calculation
    • Change detection
  • Exporting Lidar data
    • Exporting las or laz files
    • Creating a 3D PDF from Lidar data

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