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Global Mapper LiDAR WorkshopUsing LiDAR for Terrain Analysis, Volume Calculation, and Change Detection

Jeffrey HatzelApplications Specialist

October 31, 2018

• 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

• Setting up demo software and dataAgenda

• Setting up demo software and dataAgenda

• Setting up demo software and dataAgenda

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

• 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

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

II) Classifying a Point Cloud• Auto-classifying ground points

– Terrain characteristics

• Auto-classify non-ground– Building and trees– Powerlines

Agenda

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

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

Questions?

• Jeffrey Hatzel- Applications Specialist– jeffreyh@bluemarblegeo.com– geohelp@bluemarblegeo.com

• Jodi Parker- Senior Account Manager– jodip@bluemarblegeo.com

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