From Raw Point Clouds to Survey-Grade Deliverables
LiDAR point cloud colored by elevation, showing detailed terrain capture
What is LiDAR Mapping?
LiDAR mapping uses laser pulses to measure distances and create detailed 3D representations of the Earth’s surface and features. A LiDAR sensor emits thousands to millions of laser pulses per second, measuring the time each pulse takes to return after hitting a surface. This creates a dense “point cloud” containing millions of precise 3D coordinates.
Unlike photogrammetry, which relies on visible light and image interpretation, LiDAR mapping works through vegetation and in low-light conditions. The technology captures bare-earth elevation under forest canopy, something optical sensors cannot achieve.
Types of LiDAR Mapping
Different LiDAR mapping platforms serve different purposes, from large-area terrain mapping to detailed indoor scanning.
WORKFLOW
LiDAR Mapping Workflow
A structured approach from mission planning to final deliverables
✦ Mission Planning: Define accuracy, point density, coverage area, and coordinate system requirements
✦ Ground Control: Survey GCPs and establish GNSS base stations for precise georeferencing
✦ Data Collection: Record XYZ coordinates, intensity, return numbers, and GPS timestamps
✦ Point Cloud Processing: Trajectory adjustment, strip alignment, noise filtering, and classification
✦ Product Generation: Create DTMs, DSMs, contours, hillshades, and vector extractions
Classified LiDAR point cloud with vegetation, ground, and infrastructure
LiDAR Mapping Outputs
LiDAR mapping produces both raster and vector deliverables, each serving specific purposes.
🏔️
DTM
Bare-earth terrain model for flood modeling, earthwork calculations, and archaeology
🏙️
DSM
Surface model including buildings and trees for urban planning and solar analysis
📐
Contours
Precise elevation lines for topographic maps and CAD deliverables
🏠
Vectors
Building footprints, tree locations, power lines, and road edges
LiDAR Mapping Applications by Industry
Land Surveying: LiDAR mapping has revolutionized topographic surveying. What once required weeks of ground surveying can now be completed in days with higher point density and accuracy.
Forestry & Environmental: Forest inventory captures individual tree metrics. Multi-return LiDAR measures tree heights, crown dimensions, stem density, canopy cover, and biomass estimates.
Utilities & Vegetation Management: Electric utilities identify vegetation encroachment, measure conductor clearances, and document pole and tower positions.
Flood Modeling & Hydrology: High-resolution terrain models enable precise flood simulation, watershed delineation, and stormwater infrastructure design.
Construction & Mining: Regular LiDAR surveys track progress, calculate stockpile volumes, and monitor pit progression.
Hillshade map generated from LiDAR DTM, revealing terrain details
LiDAR Mapping vs Photogrammetry
LiDAR Mapping
✓ Works day or night
✓ Penetrates vegetation to capture bare earth
✓ ±2-15 cm accuracy
✓ Best for terrain, forestry, utilities
✗ Higher equipment cost, no RGB by default
Photogrammetry
✓ Lower equipment cost
✓ Full color imagery and textures
✓ ±3-10 cm accuracy in good conditions
✓ Best for construction, visual documentation
✗ Daylight only, cannot see through vegetation
Many projects combine both technologies, using LiDAR for terrain and photogrammetry for visual documentation.
Contour lines generated from LiDAR data, showing terrain elevation
PROCESSING
Processing LiDAR Mapping Data
Raw point clouds require processing to extract value
✦ Point Cloud Classification: Assigns points to ASPRS categories (ground, vegetation, buildings, water)
✦ AI Classification: Machine learning automatically classifies millions of points, reducing manual work dramatically
✦ Raster Generation: DTM/DSM in GeoTIFF, hillshades, slope maps
✦ Vector Extraction: Contours, building footprints, tree locations in DXF, SHP, GeoJSON
Process Your LiDAR Mapping Data
Skip the expensive software and steep learning curve. Lidarvisor processes your LiDAR point clouds in the cloud, delivering survey-grade results without desktop installations.
Related Guides
Complete guide to terrain modeling
Everything about Digital Terrain Models
ASPRS classes and AI classification