This tool requires a Lidar Module license.
Like other Global Mapper toolbars, this interface may be activated and deactivated in the View > Toolbars menu. See Toolbar Visibility and Customization for more information on enabling toolbars and customization.
Filter Lidar Data – Allows the user to filter out lidar points by classification. Also allows for changing the color or classification groups of Lidar classes. See more information on changing the class properties. Additional advanced filtering tools can be applied while running an auto-classification, or by selecting Lidar Points with the digitizer tool.
Select Lidar Classes – Quick select lidar based on classification or return type. This dialog can also be used to access class name, color and group for customization.
Select Lidar by Distance – Perform a spatial query to select lidar points near other points or near lines using a 2D or 3D distance threshold.
Delete Duplicate Lidar Points – Delete points XYZ locations. You can also optionally require other attributes to match as well as XYZ.
Spatially Thin Lidar Layers – Thin a dense lidar point cloud using one of the available thinning methods. This is especially good for thinning dense photo-generated point clouds, such as those from Pixels to Points™.
Apply Color to Lidar Points – Applies color values from loaded imagery to Lidar points based on X, Y location values. Color values can include R,G,B values from true color imagery, intensity values, or values from multi-band imagery or raster calculations for LAS versions 1.4.
LiDAR QC - Compare/ Adjust Elevations to Control Points – Control points may be compared to nearby Lidar points. This tool reports the differences and RMSE between the control points and nearby LiDAR points. It can also be used to adjust the point cloud so the points match the control elevations.
Fit Point Clouds – Automatically align one point cloud with another.
Compare Point Clouds – Calculate the change between 2 point clouds beyond a specified minimum. This performs a change detection to find points that have different beyond a minimum allowed distance.
Create 3D Model from Selected Lidar Points – Convert the selected lidar points into a 3D mesh surface.
The automatic classification options available on the toolbar are:
Can be used to automatically classify Noise points based on user-defined parameters.
Automatically classify powerline or pole like objects. These tools require high density point clouds.
The Lidar Module
also allows the user to manually classify or re-classify selected Lidar points.
To use the classification buttons found on the Lidar Toolbar,
select a group of lidar points with the Digitizer Tool
and click on the button corresponding to the classification you wish to use.
The manual classification options available on the toolbar are:
Classify Selected Lidar Points as Ground (Class 2)
Classify Selected Lidar Points as Vegetation Low (Class 3)
Classify Selected Lidar Points as Vegetation Medium (Class 4)
Classify Selected Lidar Points as Vegetation High (Class 5)
Classify Selected Lidar Points as Building (Class 6)
Classify Selected Lidar Points as Transmission Tower (Class 15)
Classify Selected Lidar Points as Wire (Conductor) (Class 14)
Classify Selected Lidar Points as Water (Class 9)
Classify Selected Lidar Points as High Noise (Class 18)
Classify Selected Lidar Points as Model Key-point (Class 8)
Use the Change Lidar Class tool to bulk modify the classifications of loaded or selected points so they all update to the selected new classification.
The Change Lidar Class tool will change the class of all points matching the specified class.
Only Change Already Selected Lidar Point(s)– Select Lidar points with the digitizer prior to selecting this tool from the Lidar Toolbar, then check this option to only updated selected points matching the Classification to Change.
Modify Search Bounds –Use this to specify a smaller area of Lidar Points for which to change the class.
Specify Lidar Classification(s) to Change – Check which existing lidar classes should be modified.
Specify New Lidar Classification–Highlight the desired new lidar classification for all of the specified points to change to.