In this fourth installment of GISCafe Industry Predictions for 2019, we have topics such as GNSS performance, real-time data collection, better integration between GIS and CAD, digital cities, increased mobile presence, and mutually beneficial partnerships as part of the vision in the crystal ball for 2019. Widespread adoption of Geospatial technologies continues to grow and become enhanced.
In Sweden, archeologist Christer Andersson is locating the walls of ancient monasteries that have been buried for centuries. By using ground-penetrating radar, 3D imaging, and high-accuracy GNSS receivers, Andersson knows exactly where — and how far down — to tell excavators to dig. Eos Positioning Systems
Welcome to GISCafe Industry Predictions for 2019 Part III. We have been including exciting responses from company spokesman in the GIS and Geospatial industry, all focused on the trends and predictions they see for the coming year.
Welcome to Part II of our GISCafe Industry Predictions for 2019.
As we had so many responses to our request for predictions, this series will take several parts. This installment includes writings from Pitney Bowes, VESTRA, Presagis, and Microdrones.
Many years ago Marshall McLuhan wrote that “the medium is the message.” Never has that been more true than today as we look at how we receive our information – via our phones, computers, TVs, blogs, podcasts, Twitter and other social media. The Immediacy of the message is now available through those avenues, and serves us well in the form new geospatial technology development – autonomous vehicle technology, data acquisition and analytics, social media mapping and imagery – all of which can be utilized to save time, money and more importantly, save lives.
Belgian company Orbit GT offers mobile mapping, oblique mapping, indoor mapping, UAS mapping, and 3D mapping.
“I’m happy to announce that version 19.0 is now available for download,” says Peter Bonne, CEO of Orbit GT at the InterGeo Conference 2019 held in Germany. With the advent of the smart city, Bonne says that 3D data is destined to be used throughout organizations.
Autonomous vehicle development is front and center in the news these days, with geospatial companies working hard to provide the autonomous technology necessary to populate the world’s highways with safe, responsive robotic vehicles. This technology is also a part of the greater vision for resilient or “smart” cities, as new cities are created or revamped and the desire is to incorporate self-driving vehicles into the fabric of the new infrastructure.
Katie Nelson, Geospatial Ninja for Apollo Mapping, spoke with GISCafe Voice about their most recent product release, Map Mavin. Apollo Mapping was formed in 2011 and resells satellite imagery from firms such as DigitalGlobe, Airbus and international imagery providers.
Colin Snow of Skylogic, LLC, spoke with GISCafe Voice about the company’s 2018 Drone Market Sector Summary Report that was recently published. This is the third annual report published by the company.
GISCafe will focus on specific editorial for 2019, so be sure to check in with our Editorial Calendar to find out when might be a good time for your story to be shown. Throughout the year, we provide space for Current Events, as the technology industry is evolving, and we can’t know at the time of this writing just what will be new, groundbreaking and/or disruptive in the coming year.
GISCafe Voice spoke with Lisa Cali, Senior Product Manager, IndoorViewer about NavVis’s latest software upgrade to their web-based application NavVis IndoorViewer. A provider of indoor spatial intelligence technology, NavVis is now able to automatically convert E57 point cloud files into interactive, realistic 360° walkthroughs, with the latest software upgrade to IndoorViewer.
NavVis IndoorViewer Upgrade Automatically Renders 360° Immersive Imagery from E57 Point Clouds. Top photo: E57 point cloud file, captured by a static laser scanner Bottom photo: E57 point cloud file automatically converted into an immersive 360° walkthrough in NavVis IndoorViewer
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