The AquaCrop crop growth model of the Food and Agriculture Organization was recently integrated into NASA's Land Information System Framework. This allows unprecedented crop estimation and satellite data assimilation (DA) experiments at regional scales. Satellite DA aims to combine a model and observations to reduce the uncertainties in crop estimates. This thesis assimilates the Copernicus fraction of vegetation cover (FCOVER) product to update the canopy cover (CC) and biomass, and consequently winter wheat yield estimates, in the Piedmont Region of Italy between 2017 and 2023. After calibrating the crop parameters, testing the model, and developing the DA routines, three model ensembles (modes) were generated by perturbing the model in various ways to estimate the model forecast uncertainty.