The spaceborne ESA-mission CHRIS-PROBA (Compact High Resolution Imaging Spectrometer-Project for On-board Autonomy) provides hyperspectral and multi-angular data of selected terrestrial targets (Barnsley et al. 2004). For vegetated surfaces, the spectral information content of CHRIS data may yield the biochemical and biophysical properties of a vegetation canopy, while the directional component may deliever additional information on its canopy structure. Here, the multi-angular CHRIS observations are investigated and related to surface structure using the parametric Rahman-Pinty-Verstraete (RPV) model. RPV parameters, in particular the Minnaert function parameter k, are able to quantify the anisotropy of surface reflectance, which in turn is sensitive to the structure and heterogeneity of the observed surface. Thus to investigate the potential of multi-angular high spatial resolution data for delivering quantitative surface structure information the retrieved values of the k parameter are compared with proxies derived from detailed LIDAR observations describing the 3-D canopy structure of the target site.