Research Projects

The primary focus of our research is improving observations and models of groundwater systems using satellite, airborne and ground-based geophysical datasets at scales ranging from local watershed (HUC8) to global.  We are particularly interested in studying hydrologic systems in water-stressed, agricultural areas. The intersection of water resources, land use and climate change in these regions presents many un-explored scientific questions.  

Land subsidence can be estimated with ~5 mm accuracy using a satellite dataset known as InSAR (Interferometric Synthetic Aperture Radar). In our group, we process subsidence data using InSAR, and use these data to calibrate models and estimate aquifer storage loss. Other datasets our group frequently uses include satellite-based ET (evapotranspiration), including OpenET, and ground-based or airborne TEM (Time-domain ElectroMagnetic) data. An overview of our group's research focus areas is given below.

Moose sighting @CSU Mountain Campus!

Model of subsidence in Parowan Valley, Utah from Smith and Li (2021)