Evaluation of diurnal hyperspectral HDRF data acquired with the RSL field goniometer during the DAISEX'99 campaign (original) (raw)

A directional data set of bare soil and Alfalfa acquired using the FIeld GOniometer System (FIGOS) during the DAIS Experiment 1999 (DAISEX 99) campaign is preprocessed and analyzed for its quality. Two different normalization methods to derive anisotropy factors, i.e., dividing by nadir reflectance and by spectral albedo, are tested and discussed. The effect of varying reflectances on the prediction of vegetation variables due to changing Sun and viewing geometries is demonstrated by the derivation of the weighted difference vegetation index (WDVI) for Alfalfa multiangular data and proves to be significant.