Remote Sensing Based Distributed Hydrologic Modeling for Predicting “Tile-to-Tide” Responses
In this project, funded by the Center for Global, Regional and Environmental Research (CGRER), we explored the use of remote sensing (RS) products (MODIS) for developing parsimonious hydrologic models that can then be used in conjunction with water quality modules to evaluate impacts of dynamic land-use shifts under alternate energy production scenarios. The Threshold Exceedance Lagrangian Model (TELM) developed by Basu et al (2010) is unique in its ability to identify functionally homogeneous units in the watershed, and predict streamflow, without calibration, using hydrologic attributes specific to tile-drained Midwestern watersheds. We enhanced TELM to RS-TELM by using remotely sensed vegetation data. The model RS-TELM was able to accurately capture streamflow patterns in the Clear Creek watershed in south central Iowa.