Combining Model Predictions with Satellite Data to Improve Agricultural Water Use and Nutrient Management

Abstract:

Agricultural producers are navigating increasingly complex decisions as they face increasing climate extremes, economic pressures, and environmental concerns. USDA recently funded a project to develop a predictive decision support Dashboard for Agricultural Water use and Nutrient management (DAWN) to sustain food and energy crop production in the Corn Belt. I will present an overview of this project, focusing on how to combine advanced model prediction and remote sensing data to provide credible, usable information for agricultural producers and water managers in order to improve land, water, and fertilizer use synergies across multiple systems and scales.