The utilization of unmanned aerial systems (drones) in national airspace provides a uniquely challenging opportunity for America’s aviation industry. With over 7 million drones added to the market annually, the task of maintaining the security of our airspace is indeed a predicament for air traffic controllers. Drones do not respond to traditional methods of identifying aircraft such as primary and secondary radar. A joint research team at Embry-Riddle Aeronautical University and the University of Colorado: Boulder are cooperatively designing and testing a new drone detection device called the “Drone Net.” The device operates as a software-defined multispectral photometer that can be deployed on rooftops or other ground-based locations. The purpose of this project is to explore the viability of Drone Net and determine its practical accuracy and limitations. Upon conducting several field tests, gathering information about effective range, orientation and sensor fusion, it has become clear that Drone Net is an incredibly powerful open architecture. Upon the completion of Drone Net’s university research term, the system will be recommended to key agencies, such as the Federal Aviation Administration, Department of Defense, and Department of Homeland Security, for integration into national airspace. In sensitive areas, such as airports and university campuses, the ability to easily and quickly deploy systems to detect, identify, and classify drones is principal to the prevention of drone-related crime.