This paper describes a parallel modeling of Remote Sensing radar and optic forest data which aims at retrieving forest parameters. It describes the dual model including a forest growth model fed with biophysical parameters (biomass, leaf moisture content…). The geometrical description is then the input of an optical model adapted to simulate hyperspectral information in the [0.4-2.5 μm] spectral domain, giving reflectance spectra, and a Synthetic Aperture Radar (SAR) model, giving the polarimetric and interferometric observables. As an illustration, the first results obtained by both models outputs are presented.