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Global Mapper LiDAR WorkshopUsing LiDAR for Terrain Analysis, Volume Calculation, and Change Detection
Jeffrey HatzelApplications Specialist
October 31, 2018
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• Setting up demo software and data• The Structure and Characteristics of LiDAR Data
I) Understanding our Point Cloud• Loading data, Metadata/statistics, Visualizing data• LiDAR Editing and Query
II) Classifying a Point Cloud• Auto-classifying ground points• Auto-classify non-ground
III) Terrain Products and Analysis• Gridding LiDAR to Create a DTM or DSM• Terrain Analysis and Volume Calculation• Change Detection
Agenda
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• Setting up demo software and dataAgenda
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• Setting up demo software and dataAgenda
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• Setting up demo software and dataAgenda
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Light Detection And Ranging
A remote sensing technology that utilizes reflected laser beams to generate an
array of closely-spaced point data that contain x, y, and z values as well as other
information.
What is LiDAR?
Global Mapper LiDAR Training
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• LiDAR can be collected by an airborne collection system or using terrestrial sensors
• Point spacing can vary from a few points to several thousand or more points per square meter
• ASPRS Classifications assign points to a defined class (e.g. Ground, Building, High Vegetation, etc.)
• Points may include RGB and/or NIR values allowing pseudo-raster analysis
• LiDAR is being used in a variety of fields including archeology, forestry, utility management, structural engineering, resource extraction, and virtually every other imaginable field
What is LiDAR?
Global Mapper LiDAR Training
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I) Understanding our Point Cloud• Loading data, Metadata/statistics, Visualizing data• LiDAR Editing and Query
– 2D and 3D– Profile View– Manual editing
• LiDAR QC
Agenda
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II) Classifying a Point Cloud• Auto-classifying ground points
– Terrain characteristics
• Auto-classify non-ground– Building and trees– Powerlines
Agenda
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III) Terrain Products and Analysis• Gridding LiDAR to Create a DTM or DSM
– Differences in grid methods– Hydro-flattening
• Terrain Analysis and Volume Calculation– Pile volume, flattened site planes– Watershed analysis
• Change Detection– Visualizing and Quantifying change
Agenda
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I) Understanding our Point Cloud• Loading data, Metadata/statistics, Visualizing data• LiDAR Editing and Query
II) Classifying a Point Cloud• Auto-classifying ground points• Auto-classify non-ground
III) Terrain Products and Analysis• Gridding LiDAR to Create a DTM or DSM• Terrain Analysis and Volume Calculation• Change Detection
Recap
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Questions?
• Jeffrey Hatzel- Applications Specialist– [email protected]– [email protected]
• Jodi Parker- Senior Account Manager– [email protected]
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