Global Mapper LiDAR

At a fraction of the cost of comparable applications, the Global Mapper LiDAR Module is a must-have for anyone using or managing terrestrial or airborne LiDAR as well as other point cloud datasets.

LiDAR Module Overview

The Global Mapper LiDAR Module is an optional enhancement to the software that provides numerous advanced LiDAR processing tools, including 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 QC, and much more.

Additional functionality offered in the LiDAR Module includes:

  • A convenient LiDAR Toolbar for easy access to key editing and analysis functions
  • Multiple gridding options for faster DSM or DTM generation
  • Access to point cloud files containing a billion points or more
  • Automatic point classification tools that automatically distinguish building, ground, vegetation and power lines and above-ground utility cables in unclassified layers
  • Feature extraction functionality to automatically create 3D building footprints, trees and power lines
  • Cross-sectional rendering using Global Mapper's Path Profile tool for viewing and editing the point cloud in a vertical perspective
  • 3D Digitizing or custom feature extraction using the perpendicular profile function
  • Advanced filtering options to efficiently remove erroneous or unneeded points
  • Customizable detection and reclassification of noise points
  • LiDAR scripting commands for streamlining workflow
  • Point colorization from underlying imagery or gridded layer
  • A LiDAR QC tool for correcting point cloud elevations using ground control points
  • Multiple point cloud visualization options including by classification, intensity, elevation, RGB, and point density
  • Support for reporting LiDAR statistics
  • Support for importing and exporting most common LiDAR formats
  • Support for NIR (near-infrared) data
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