Analyze images and other data to solve problems across disciplines. Imagery and other data collected by satellites, crewed aircraft, and uncrewed aerial systems (UAS) are increasingly important for ...

My research projects utilize ground-based observations, remote sensing, and computational modeling to obtain comprehensive understanding of hydrological processes; in particular the distribution of ...

The dynamics of soil moisture are fundamental to understanding terrestrial hydrology and climate processes, impacting agriculture, water resource management and ecosystem resilience. Remote sensing ...

Olivia is a PhD student in the Earth Sciences department, where she studies mountain hydrology and snow science. Her research integrates physically-based and machine- learning models with ...