Around the Geospatial, 3D, and AEC Industries: Geospatial Demand, Glaciers, and GeoAI



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. 

Geospatial demand is outpacing capacity according to UK research

Staff Writer | GIM International

New UK research from Landmark Geodata finds that 83% of geospatial and GIS professionals saw organizational demand for their work increase over the past year but 78% say requests are already coming in faster than their teams can handle. The bottleneck isn’t data shortage: professionals report spending an average of a third of their time just preparing data before any analysis can begin, while integration challenges and a looming GIS skills gap threaten to widen the divide between what’s being asked of geospatial teams and what they can realistically deliver.

Read the full article here

Trimble Enables First Centimeter-Accurate 3D Model of Puncak Jaya Glaciers

Staff Writer | Geo Informatics

Trimble has supported Project Pressure’s latest expedition to Papua, Indonesia, where researchers used drone photogrammetry and Trimble GNSS technology to produce the first centimeter-accurate 3D model of the rapidly receding tropical glaciers of Puncak Jaya which is the highest peak in Oceania and the first of the Seven Summits expected to lose its ice entirely. The model establishes a scientific baseline for tracking glacier recession and is already being used by local communities to prepare for the water shortages that will follow when these glaciers disappear.

Read the full article here

GeoAI simplifies methane leak monitoring

Peter Fitzgibbon | GeoConnexion

Traditional satellite-based methane detection only catches the biggest emitters, leaving the chronic, low-volume leaks that collectively cost the oil and gas industry an estimated $16.6 billion in lost revenue annually flying completely under the radar. Satelytics president Sean Donegan breaks down how GeoAI, combining high-resolution satellite imagery with machine learning and near-real-time cloud processing, is shifting energy operators from reactive compliance reporting to proactive leak detection across thousands of miles of hard-to-reach infrastructure.

Read the full article here    

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