Tag: Point Cloud

Lidar Archaeology Moves Closer to Automation

A new study in Heritage applies deep learning directly to…

August 25, 2026

Taiwan’s Tallest Tree Found with Airborne Lidar

An 84.1-meter Taiwania fir hidden in Taiwan’s rugged Da’an River…

August 20, 2026
RGB point cloud in Stitch3D

Point Cloud Sharing Opens Reality Capture to Small Firms

Reality capture has traditionally been too expensive and complex for…

August 18, 2026

Hybrid LiDAR Surveys Transform River Mapping

River corridors are among the most challenging environments to survey…

August 11, 2026

Point Cloud to TIN: Mach9 Adds Surface Workflows

Point cloud to TIN workflows are essential for transforming lidar…

August 5, 2026

UAV vs Terrestrial Lidar for Canopy Height

UAV vs terrestrial lidar is an ongoing question in forest…

August 3, 2026

Reality Capture Workflows Reimagined with Mach9

Reality capture workflows have changed dramatically over the past decade.…

July 27, 2026

Lidar Reveals Silk Road City in Uzbekistan

Using high-resolution drone-based lidar, researchers uncovered the layout of a…

July 24, 2026

Lidar Tracks California Landslides

Editor’s Note: Lidar is helping researchers better understand landslides along…

July 21, 2026

Drowning in Data, but Starving for Maps in the Deep Blue Sea

How Crowdsourced Bathymetry is Staying Afloat For decades, the deepest…

July 13, 2026

Gold Rush Mapping Reveals Relics and Dangers

Advanced airborne lidar is transforming gold rush mapping in Victoria,…

July 13, 2026

Drone LiDAR Wildfire Mapping in Saskatchewan

How Stitch3D Expedited Real-Time Disaster Response A mixed drone lidar…

July 7, 2026

Lidar Supports Vivid Sydney Projection Mapping

For Vivid Sydney’s Creative Technology After Dark, lidar scanning was…

July 7, 2026
An aerial 3D visualization generated from LiDAR data, showcasing exposed sand bars and high banks of the North Canadian River as it meanders through the landscape.

Airborne LiDAR Lays Foundation for Oklahoma Energy Project

Blew & Associates completed an airborne LiDAR survey of approximately…

June 30, 2026
The four stages of 3D Gaussian Splatting reconstruction, visualised as a single progression. A sparse point cloud provides the initial spatial skeleton (left); large overlapping Gaussian primitives are seeded from those points and begin to occupy volume (second); the optimiser densifies and refines those primitives, packing them tighter as the form converges (third); finally, alpha-compositing from the correct viewpoint produces a photorealistic render with no visible primitives remaining (right). The primitives never disappear, they simply become coherent. This is not a surface mesh, not a voxel grid, not a neural network at render time. It is millions of learned ellipsoids, each carrying position, shape, rotation, colour and opacity, composited in depth order at real-time frame rates. Image: Mike Devers / Cr8ive Media

Gaussian Splatting and LiDAR: A Practitioner’s Field Guide

3D Gaussian Splatting (3DGS) is one of the most talked-about…

June 23, 2026
New Coherent Lidar Expands What 3D Sensing Can See

New Coherent Lidar Expands What 3D Sensing Can See

A new lidar system developed by researchers at the University…

June 23, 2026

New Zealand Launches National Coastal Lidar Dataset

The Challenge of Coastal Geospatial Data For all the advances…

June 15, 2026

Delhi Digital Twin for Tax and Asset Management

The Municipal Corporation of Delhi is using drones, GIS, and…

June 9, 2026

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