Title: Coupling remote sensing and a sunflower a crop model

Presenter: Ronan Trepos

Abstract: Remote sensing products provide vegetation indices that can be put in 
relation with state variables of crop models. There are more and more benefits 
in coupling these two techniques. In this talk, I will present experiments on 
the coupling of remote sensing and a sunflower crop model in the context of two 
ongoing French projects. In the first one, inverse modeling techniques are used 
to estimate soil properties at the plot scale. In the second one, data 
assimilation methods are mobilized for the building of a forecasting tool of the 
yield a few weeks before harvest.