Every week here at Geo Week News, we have been highlighting some of our favorite stories from around the internet that cover the geospatial, 3D, and AEC industries. Whether it’s a fascinating case study, insights from an industry thought leader, or deep dives into new tools, there is never any shortage of great writing and storytelling in this industry. So, below you can find links to three stories that we loved this week.
Geological marvel in Colorado immortalized as digital twin
Staff Writer | GIM International
Colorado's iconic Red Rocks Amphitheater, home to 250-million-year-old sandstone formations and world-renowned acoustics, has been captured as a centimeter-precise digital twin through a collaboration between Tersus GNSS and Desert Creative Group. Using a backpack-mounted mobile LiDAR system during Geo Week 2026, the team scanned the entire venue in just 20 minutes and processed the data into a high-resolution 3D point cloud in under an hour, with potential applications ranging from event planning to heritage conservation.
A map is better than a thousand words
Editors Desk | Geo Informatics
Researchers at HeiGIT have launched OpenAccessLens, an open dataset platform that maps how far people around the world are from the nearest schools and hospitals, measured in travel time or distance, revealing stark global inequalities in access to basic services. The platform highlights disparities such as fewer than 40% of schools in Pakistan being within a five-kilometer reach of students, and a significant gap between countries like Germany, where hospital access within 30 minutes is nearly universal — and Sierra Leone, where only about 60% of the population can reach care in that timeframe.
GMV NSL Explores Big-Data Approaches for GNSS Integrity Monitoring
Peter Gutierrez | Inside GNSS
UK-based GMV NSL Ltd., with backing from the European Space Agency, has completed the RIGOUR project, which investigated whether GPS signal integrity monitoring could be enhanced by harvesting location data from millions of everyday devices like smartphones and car navigation systems rather than relying solely on dedicated reference station networks. Simulations involving 10,000 virtual receivers showed the approach could detect moderate-to-large satellite anomalies and identify localized signal problems in dense urban areas, suggesting that big-data methods could complement existing infrastructure for applications ranging from autonomous vehicles to transportation safety.
