LIDAR is an acronym for Light Detection And Ranging. A laser is able to provide a light beam with high intensity, high collimation, high coherence, high spectral purity and high polarization purity. Lidar has been used in many applications, including atmospheric remote sensing, trace gas detection, target detection and tracking, digital elevation modeling, autonomous vehicles, virtual reality, etc.
Dr. Tan’s research focuses on the application of polarimetric lidar in vegetation remote sensing. He developed a Multi-wavelength Airborne Polarimetric Lidar (MAPL) system for vegetation canopy study. His research is targeted on using the laser polarization information to detect the vegetation conditions, such as health condition, water stress, nutrient stress and many other physiological changes. The research is helping precision agriculture, forest management and ecological studies.
Contact: Dr. Songxin Tan