Timothy Bauch of RIT

Remote sensing is becoming increasingly popular in the UAV market. Research is being conducted across the world using all types of imaging modalities to gather higher resolution data. As sensors have become smaller, and UAV payload capacities have become larger, the ability to create payload combinations of multiple modalities has risen. For many research projects the use of multiple modalities is needed. In remote sensing, the weather conditions and time of collection play a major role in the success of the collected data. This presentation outlines a new multi-modal payload system that allows for simultaneous collection of four different types of imaging modalities; RGB, LWIR, LiDAR and Hyperspectral. By collecting all modalities simultaneously, we can collect data with the same weather conditions and light levels. This also eliminates the need to change gimbals in the field and reduce the wear and tear on the equipment from multiple payload changes. This talk will highlight the process taken to create this multi-modal UAS payload and some challenges met along the way. 

Biography:

Timothy Bauch is an engineering in the Digital Imaging and Remote Sensing lab in the Center for Imaging Science at Rochester Institute of Technology, where he is responsible for conducting and overseeing instrumentation activities. Specifically, he oversees the operation, maintenance and calibration of imaging sensors and systems, and conducts field operations of unmanned aircraft systems (UAS) and ground sensing platforms for the purpose of research. Also, he provides support in maintaining optical calibration laboratory (integration sphere facility) in order to maintain proper calibration of all sensors and cameras for the laboratory, as well as, outside entities. 

Address:Center for Imaging Science, Rochester Institute of Technology, New York, United States