Two recent publications from Flores group members highlight the importance of remote sensing data for hydrology and geomorphology. The first, authored by Michael Poulos, Jen Pierce, Lejo Flores, and Shawn Benner uses an extensive analysis of remotely sensed digital elevation models to show that hillslopes on opposite sides of valleys often differ in slope angle significantly. Moreover, these differences exhibit important patterns at different scales, ranging from basin scales to hemispheres.
In the second paper, Prof. Flores along with his former advisors Rafael Bras and Dara Entekhabi demonstrate that NASA’s forthcoming Soil Moisture Active-Passive (SMAP) satellite will be useful for improving watershed modeling at hillslope scales. They use an approach called data assimilation – the mathematical combination of model and observational data – to improve soil moisture forecasts from the tRIBS-VEGGIE model.