engineering

LiDAR & Remote Sensing

Light Detection and Ranging technology — laser pulse propagation, terrain classification algorithms, canopy height modeling, bathymetric depth mapping, and point cloud density analysis for geospatial applications.

lidarremote sensingpoint cloudterrain mappingcanopy heightbathymetric lidargeospatial

LiDAR (Light Detection and Ranging) uses pulsed laser light to measure distances with centimeter-level precision, generating dense three-dimensional point clouds of terrain, vegetation, and built structures. From autonomous vehicle navigation to archaeological discovery beneath jungle canopies, LiDAR has revolutionized how we perceive and model the physical world at scale.

These simulations let you trace laser pulses through the atmosphere, classify ground and surface returns, estimate forest canopy height from waveform analysis, model green-wavelength bathymetric penetration in coastal waters, and evaluate point density requirements for survey accuracy — all with real-time interactive controls and physically realistic signal models.

5 interactive simulations

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Bathymetric LiDAR & Water Penetration

Simulate bathymetric LiDAR — explore how laser wavelength, water clarity, depth, and bottom reflectance determine subaqueous mapping capability

simulator

Canopy Height Model & Forest Structure

Simulate forest canopy height estimation from LiDAR — explore how first/last return differences, point density, and crown shape determine canopy height models

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LiDAR Pulse Propagation & Return

Simulate LiDAR laser pulse propagation — explore how pulse energy, beam divergence, atmospheric attenuation, and surface reflectance determine return signal strength

simulator

Point Density & Survey Design

Simulate LiDAR survey planning — explore how pulse rate, scan angle, flying speed, and altitude determine point density and coverage for geospatial accuracy requirements

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Terrain Classification & Ground Filtering

Simulate LiDAR point cloud classification — explore how slope threshold, height difference, and cell size parameters affect ground vs. non-ground filtering