Project Summary

The Transport and Safety Section Manager at the Michigan Department of Transportation (MDOT) was quick to recognize the benefits of sUAS capability and the opportunity to advance the MDOT existing drone program. He arranged for Hoyle Tanner to spend three days training DOT employees on how to collect accurate obstruction data using drones as well as process that dta into meaningful deliverables. The information gathered in the sUAS flights was used to create detailed 3D models of the airport including tree height, pavement condition, ground contour elevations, and surrounding land development. Once collected, the data can be used to graphically depict airspace approach corridors that are not able to be seen with the naked eye. Obstructions are clearly shown protruding into protected airspace making it much easier for the airport and responsible landowners to agree on obstruction removal alternatives. With the proper coordination of sUAS data collection and software processing systems, “clearing the air” can be done economically, accurately, and efficiently.