Category: Environmental Mapping
LiDAR and reality capture technologies supporting environmental mapping, natural resource management, hazard assessment, and landscape analysis.
Researchers compare lidar reflectance data with imaging spectroscopy to improve…
The Delaware Geological Survey (DGS) has launched a new pilot…
3DEO, Inc. is proud to be the first member of…
Coral Conservation Project Makes Waves in Europe Lanzarote is establishing…
Researchers from ETH Zürich and the WSL Institute for Snow…
Mapping Snowpack with Unprecedented Precision Arizona State University (ASU) and…
California Lidar Maps – First-ever Statewide California is countering wildfire…
Drone Lidar Bathymetry Maps Australia’s Coast in 3D In a…
Written by Bogdan Candrea, Forest Engineer There’s a quiet revolution…
Mapping the Largest Known Cold-Water Coral Reef Habitat Synopsis written…
New UW Online Portal Opens Access to Statewide LiDAR Data…
Using RIEGL LiDAR to Understand How Forests Mitigate Climate Change…
Canadian Summer Internship Program Trains Hydrographers of the Future By…
Tracking the Rhythms of the Forest with Lidar Phenology Monitoring…
March 21, 2025 – UN World Day for Glaciers Project…
In the News: NV5 Geospatial and USGS Release High-Resolution LiDAR…
LiDAR technology is revolutionizing urban development modeling in Africa, offering…
Unlocking the Secrets of Ancient Trees with RIEGL Terrestrial LiDAR…
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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