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LiDAR Proximity QueryingĪ common use case in point cloud or LiDAR analysis is the detection of encroachment. This powerful filtering tool can reclassify or automatically delete any points that are beyond a prescribed elevation or height above ground threshold within a local area. Effective Noise RemovalĪddressing a major concern among LiDAR users, Global Mapper LiDAR Module provides an efficient and effective way to remove noise from point cloud data.

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Based on a series of customizable settings, patterns of points representing buildings, trees, and utility cables are analyzed and their extent is automatically delineated as a series of 3D vector objects or, in the case of buildings, as a 3D mesh. One of the LiDAR Module’s most powerful capabilities, the feature extraction tool is used to create vector (point, line, or polygon) features derived from appropriately classified points. Within the remaining above-ground points, specific algorithms can be applied to identify and reclassify high vegetation, buildings, and powerlines or utility cables. First and foremost is the identification of ground points, which is used for the creation of a DTM or bare-earth model.

Automatic Reclassificationīased on the geometric properties and other characteristics of the LiDAR file or point cloud, the LiDAR Module’s automatic reclassification tool is able to accurately identify and automatically reclassify points representing the important point feature types. This process produces a similar output to the model creation option in the Pixels-to-Points tool. When viewed in 3D, this model displays as a multifaceted photo-realistic 3D representation of the corresponding feature. Using a selected group of LiDAR points, this process uses the inherent 3D geometry of the points along with the associated colors if present and creates a 3D mesh or model. As a by-product of the point generation process, the Pixels-to-Points tool can create an orthorectified image by gridding the RGB values in each point, as well as a 3D mesh, complete with photorealistic textures. Based on the principles of photogrammetry, the process identifies objects in multiple images and from multiple perspectives to generate the point cloud. Introduced with the version 19 release of the LiDAR Module, this powerful tool creates a high-density 3D point cloud from an array of overlapping images, such as those collected by UAVs.

LiDAR sorting optimization to improve display and analysis speed.

Support for NIR (near-infrared) point attributes with the option to create a NDVI or NDWI grid.

Support for importing and exporting most common point cloud formats.

Multiple point cloud visualization options including by classification, intensity, elevation, RGB, and point density.

A LiDAR QC tool for correcting point cloud elevations using ground control points.

Point colorization from underlying imagery or gridded layer.

LiDAR scripting commands for streamlining workflow.

Customizable detection and reclassification of noise points.

Proximity query function to identify points of a certain class encroaching on other points or line features.

Advanced filtering options to efficiently remove erroneous or unneeded points.

3D Digitizing or custom feature extraction using the perpendicular profile function.

Cross-sectional rendering using Global Mapper’s Path Profile tool for viewing and editing the point cloud in a vertical perspective.

Feature extraction functionality to automatically create 3D building footprints, trees and power lines.

Automatic point classification tools that automatically distinguish building, ground, vegetation and power lines and above-ground utility cables in unclassified layers.

Access to point cloud files containing a billion points or more.

Multiple gridding options for faster DSM or DTM generation.

A convenient LiDAR Toolbar for easy access to key editing and analysis functions.

3D mesh creation from selected LiDAR points.

Pixels-to-Points tool for creating a high density point cloud from overlapping imagery as well as an orthoimage and 3D mesh.

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Not Using Global Mapper? Download or Purchase Global Mapper to Activate the LiDAR Module Key functionality offered in the LiDAR Module includes:

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The Global Mapper LiDAR Module is an optional enhancement to the software that provides numerous advanced LiDAR processing tools, including Pixels-to-Points™for photogrammetric point cloud creation from an array of images, 3D model or mesh creation from a point cloud, automatic point cloud classification, automatic extraction of buildings, trees, and powerlines, cross-sectional viewing and point editing, custom digitizing or extraction of 3D line and area features, dramatically faster surface generation, LiDAR quality control, and much more.