At a basic level, geospatial data supports map production and navigation. That was one of the early reasons digital mapping took off in the first place, since updating a paper map used to be slow and ...

Top: Devil’s Elbow Trestle Bridge near Fort Leonard Wood, Missouri. Bottom: A LiDAR scan of the same trestle bridge. (Sgt. 1st Class Andrew French and CW4 Michael Baber) The current state of ...

A key objective of data governance is to provide information to people with a legitimate need to know and to restrict it from those who do not. While the solution to effective data security is largely ...

Imagine the scene: You’re driving in an unfamiliar city and use Google Maps on your iPhone to get directions to your next meeting. But you don’t just want to know how to get from point A to point B.

With record-breaking temperatures across the South, smoke from Canadian wildfires across the North, historic flooding in the Northeast and a powerful hurricane in the Southeast, the summer of 2023 has ...

Geospatial engineering combines principles of engineering, geography, and surveying to collect, analyze, and manage spatial data. Geospatial engineering involves surveying. Over time, the field of ...

Why storage choice matters: Geospatial datasets can be massive and varied, so selecting the right storage impacts speed, accessibility, and cost-effectiveness. What options exist: Object storage ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the advancement of large language ...

Effective data governance requires a mindset that treats data as an asset, which is just as important as a physical “sticks and bricks” asset with a life cycle. The drivers behind this change include ...