Many geospatial professionals are excited about the prospects of unmanned aerial vehicle (UAV) integration into the national airspace in September 2015, and for good reason. In the past few months, the Federal Aviation Administration (FAA) has called for UAV test site proposals, and experts have made bold predictions about the potential economic impact of unmanned aerial systems (UAS) on the United States.
Mobile LiDAR (Light Detection and Ranging) is an emerging technology that not everyone understands. Even geomatics professionals sometimes have a hard time explaining what it is, and how it can be a benefit to the transportation industry.
After nearly two years of turbulence at the National Society of Professional Surveyors (NSPS), the group took significant steps forward in Gaithersburg, Md., according to several surveying professionals who attended its spring meetings.
The recently released report on the potential economic impact of unmanned aircraft systems (UAS) on the United States was startling. If anything can make Congress and the Federal Aviation Administration (FAA) move faster toward integrating UAS into the national airspace, it would be dollars and jobs.
A key component of NGA’s strategy for the next five years is the creation of “an intuitive online environment” that allows users to access data and intelligence in the cloud. The GEOINT AppStore Station provides a platform for testing and feedback on geospatial apps.
3D Laser Mapping Executive Chairman Graham Hunter is not exaggerating when he says the small company has a lot going on. The provider of LiDAR software and hardware has recently released a handheld laser scanner, increased its staff of 35 by six people, opened a new research and development facility, and is putting on a workshop for archaeologists.
In a moment of nostalgia, Alan Riekki, Las Vegas city surveyor, contemplates all the infrastructure data that has vanished in the nearly 108 years since the city’s founding. That won’t happen any longer.
Jerry Skaw remembers a time when all computing was done on a huge, centralized mainframe in every office. He likens that era to the transformation happening today–believe it or not–because big data is being stored on “centralized” computers at Microsoft, Amazon and Google, and companies are accessing that data on web browsers.