1130
hereafter to use satellite measurements in order to estimate this characteristic. The linkage of crop model with
radiative model, using a 'first guess' sowing date, provides a temporal profile of reflectances. On the other
hand, observations represent the reference set of reflectances. We assume that the first guess sowing date is
uncertain. Then, a mathematical method is used to minimize the merit function by iterations, and thus the
difference between modelling and observation.
J(SD)= I(p* -p'"“') 2 0)
i=l
/ is the merit function for the sowing date SD, pfbs et pf no< ^ are the reflectances respectively observed and
modelled for the acquisition day i.
The final purpose is to process the simulation using the retrieved parameter in order to estimate
carbon fluxes or production.
3 - RESULTS AND DISCUSSION
3.1. Simulation at the field scale
We confront modelled reflectances with the values observed on SPOT scenes. The sowing date and the plant
variety are the most important variables concerning the growth and the development of the wheat for
environmental conditions given. Thus, when these two parameters are well-known, we can assume the
modelling providing by AFRCWHEAT2 is reliable.
3.1.1. Confrontation of simulations and observations
As we have noticed an important sensitivity of predicted reflectances to the inclination of leaves, we perform
simulations for several cases of angle distribution. For winter wheat, we attempt to obtain the most suitable
distribution after the confrontation of these values to SPOT observations.
Statistical results obtained for ground data over test-sites, allow us to know the distribution of sowing
dates and varieties for winter cereals (wheat and barley). Consequently, we have deduced the different
combinations of sowing date and variety, represented over the site. Simulations are performed in SPOT
wavelengths for the main configurations using successively the cover growth model and SAIL radiative model.
For winter cereals, the inclination of leaves is close to theoretical distributions. Some measurements (Baret,
1986) have shown that it varies between uniform and erectophile distribution with the variety and the
development stage. The comparison between modelling results and observation has been carried out for 3
types of distribution for winter wheat crops. Since variations of reflectances with leaf angles are more
important in n.i.r. than in visible, we display results relative to nix below. Figure 1 concerns 3 dates of the
wheat activity period.
Figure 1 : Modelled versus observed reflectances, in n.i.r., for 3 leaf angle distributions : uniform (mean angle
is 45°) (+), spherical (mean angle is 573°) (*), erectophile (mean angle is 6324°) (o). The lowest group of
points is relative to the date 09 April, the highest contains the values of two close dates : the 13 and 18 May.
Each point represents the result concerning one combination (sowing date and variety).