The anisotropy of backscattering heterodyne the spectral information, which is in general deemed as main information source in remote sensing. However, the anisotropy approach enables to gather information about differences in phenotypes or stand structures, if it is possible to analyze objects with help of satellite systems with multi-angle observation possibilities. Proba/CHRIS is such a new generation satellite system. This paper deals with the synergistic usage of spectral and angular signatures for image classification in order to calculate a possible information surplus. For this, the corresponding 36° off-view angle data sets were divided from each other so that the anisotropy ratios of spectral classified objects could be extracted. The results of the analysis and visual verification substantiate the high information content of angular signature images and the sub classification of vegetation objects. The temporal analysis shows that these sub classes are stable over the vegetation period. The information surplus is visible in the 680nm wavelength band of the anisotropy quotient images.