Drones have become everyday applications for humanity, being integrated into various industries. Their cost-efficient remote sensing capabilities make drones an irreplaceable option for industries like agriculture, aerial imagery, and security. One emerging application area for drones is smart cities, where they are used to gather real-time data for other systems within the city. Aerial inspections are another important use case for drones, including railroad inspection, road inspections, and traffic monitoring. However, further clarification is needed regarding viable drone configurations and operational models. In this paper, we developed a UAS-based road surface monitoring system scheme. We selected a readily available UAS for the task and evaluated different operational models through a model study. We assessed the effectiveness of single and dual placement on UAS stations for a 480 km rural road. Additionally, we evaluated different logistical models, such as hub-spoke and point-to-point, to develop an efficient road condition assessment scenario.