Tag: Remote Sensing
As consolidation reshapes the industry, the future of lidar and…
Researchers compare lidar reflectance data with imaging spectroscopy to improve…
3DEO, Inc. is proud to be the first member of…
LIVERMORE, Calif — February 12, 2026 Topcon Positioning Systems has…
Caleb Miller, a geology major at Cedarville University, has successfully…
Mines function like self-contained cities, generating massive amounts of geospatial…
Researchers at the Technical University of Munich have released the…
Lost Valley of Cities Revealed by Lidar A groundbreaking study…
Earth Observation Gaussian Splatting (EOGS++) Enhances 3D Reconstruction Earth Observation…
Written by Bogdan Candrea, Forest Engineer There’s a quiet revolution…
Mapping Spain from the Sky: How Lidar Technology is Transforming…
Lidar Robot Vacuum Privacy Breach Exposed by Engineer A recent…
The rise of “cascading hazards”, where one disaster triggers another,…
Martin Weider, a young geospatial entrepreneur, based out of Sofia…
Advisory Board Announced for Geo Week 2026 Geo Week Advisory…
Capturing the Royal Bulgarian Train Station in 3DWritten by Martin…
Lidar News Weekly RECAP – Curated and written by Adam Clark…
XenomatiX, winner and finalist of many awards in the geospatial…
Popular Posts
For many people, LiDAR is still strongly associated with autonomous vehicles: cars scanning roads, detecting pedestrians, cyclists, lane boundaries, and obstacles. This association makes sense because autonomous driving has been one of the most visible areas for LiDAR development. However, the future of LiDAR is not limited to vehicles. A more interesting question is what…
The Municipal Corporation of Delhi is using drones, GIS, and digital twin technology to identify unassessed properties while creating a comprehensive digital inventory of city assets. The Municipal Corporation of Delhi (MCD) has launched a pilot initiative that uses drones, GIS, and digital twin technology to identify unassessed and under-assessed properties across India’s capital city.…
Autonomous navigation has been built largely on optical sensing. Cameras, lidar, and sensor fusion systems reconstruct the world through reflected light, translating physical environments into spatial models that machines can interpret and act on. In most conditions, this approach works remarkably well. But it is fundamentally tied to visibility. Smoke, heavy snow, dust, fog, and…
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