Research to more fully characterize coastal and other terrestrial-aquatic interface (TAI) areas using remote sensing data from ground, air, and space platforms, including field data for validation and truthing. Research is conducted in a variety of different biomes including tropical, temperate, and Arctic to determine the degree to which fine to coarse resolution remote sensing data can accurately represent terrain and the properties of vegetation, soils, water, and features across gradients from shallow water to beach to wetlands as well as detect changes within and across seasons. A combination of high-altitude and surface proximity remote measurements techniques, including hyperspectral sensors in all spectral ranges from UV to long-wave infrared, in combination with detailed ground-based data are used together to develop the best representation of vegetation, soil, and water properties to understand the current state of TAIs, as well as the past and predict the future.  Modeling techniques with potential to capture gradients of terrain function or across the terrestrial-aquatic interface, an understanding of the physics of TAI processes, or physics of remote sensing to improve characterization are of great interest. The goal is to improve our ability to understand not just the features of TAIs, but the processes occurring in these areas.

Our research group maintains the state-of-the-art spectral calibration facility, soil laboratory, a very wide range of airborne sensors including lidar and Hyperspectral sensors in all ranges from 300nm to 2500nm and other cameras extending into the mid-wave and the long-wave thermal ranges. We routinely collect data around the world in support of many diverse research missions using a variety of aircraft, and conduct data processing, analysis, utilize and improve models and generate products for various Navy and USMC applications.

key words

Applied Remote Sensing; Physics of Remote sensing; Spectral remote sensing; Earth and Environmental Science; Imaging Spectroscopy; Hyperspectral; Multispectral; Lidar; Field validation; Multi Sensor Data Fusion

Citizenship:  Open to U.S. citizens and permanent residents

Level:  Open to Postdoctoral applicants