Location: Hydrology and Remote Sensing Laboratory
Project Number: 8042-13610-028-10-R
Project Type: Reimbursable
Start Date: Jan 1, 2010
End Date: Jan 31, 2014
Enhance USDA FAS crop yield forecasts via the use of remote sensing and data assimilation technologies.
Apply an Ensemble Kalman filter to the assimilation of AMSR-E soil moisture retrievals into the USDA FAS land surface model. Development contingency plans for the discontinuity of AMSR-E data and apply the NASA LIS modeling system.