2010 Annual Report 1a.Objectives (from AD-416) Enhance USDA FAS crop yield forecasts via the use of remote sensing and data assimilation technologies. 1b.Approach (from AD-416) 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. 3.Progress Report Project has begun preliminary work aimed at quantifying the value of data output from the USDA/FAS soil moisture data assimilation (developed in a previous project) for agricultural yield forecasting and the implementation of the Palmer Land Surface Model (used operational at USDA FAS) into the NASA Land Information System.