There is no shortage of impressive aerial data. High-resolution orthomosaics, dense point clouds, detailed 3D models, smooth fly-throughs, crisp imagery, colorized surfaces, and measurements that appear precise down to the centimeter—or even the millimeter—can all look remarkably convincing at first glance. That is exactly the problem. A deliverable can look extraordinary and still leave unanswered the most important questions about what it actually represents, how it was pro

British photographer Margot Raggett chose the title Remembering Elephants very deliberately. It sounded premature, and that was exactly why it worked. Memorials are usually created after something has been lost. Her elephants were still alive. But the title forced people to confront the possibility that one day photographs might be all that remained. That idea stayed with me for a completely different reason. We tend to think about documenting places after something happens t

Sometime back in the 1970s, I read an article with a title very close to Where Have All the Airports Gone? I wish I could remember where I saw it, or who wrote it, because the title stayed with me for decades. I was young enough then that airport closures still felt like something that belonged to a distant future. The idea of looking around someday and finding fewer and fewer places to fly seemed almost abstract. It does not feel abstract anymore. Over the past twenty or thi

More companies are building internal drone programs, and in many cases that makes sense. The aircraft is available when needed, someone on staff knows how to fly it, and the team can quickly collect hundreds or thousands of images from a jobsite, facility, airport, or infrastructure project. The problem is that owning a drone program and producing trustworthy aerial data are not the same thing. A flight can be completed perfectly. The images can be sharp. The orthomosaic can

The drone industry spends a lot of time asking one question: What can the drone produce? An orthomosaic. A point cloud. A 3D model. A digital surface model. Progress photographs. Measurements.Contours. Those are useful answers. But they may be answers to the wrong question. The better question is: What can the project team do with what we produce? That changes the conversation. A 3D model may be impressive to look at. But what happens when a superintendent can use that model

British photographer Margot Raggett created a conservation photography project called Remembering Elephants, documenting elephants that were still very much alive. She chose the title deliberately because it sounded premature. Memorials usually come after something has been lost. Her elephants were still there, but the title forced people to confront the possibility that one day photographs might be all that remained. That idea stayed with me because we do something similar w

One of the first lessons every pilot learns is that flying isn't about believing what looks right—it's about verifying what is right. Every instrument in the cockpit serves a purpose, but no experienced pilot places blind trust in a single source of information. Altitude is cross-checked. Position is confirmed. Fuel calculations are compared against time and burn rate. Navigation is verified using independent references. Even when everything appears normal, pilots continue as

Projects don't lose alignment all at once. They lose it one perspective at a time. Most initiatives begin with a strong foundation of shared understanding. Everyone has reviewed the plans, grasped the objectives, and left the kickoff meeting confident that they’re all looking at the same project. But as soon as work begins, that unity starts to fracture. Each person begins constructing their own mental picture of reality. The superintendent focuses on today’s on-site progress