Remote Sensing & Precision Farming

Visual as well as computer based analysis of MOMS-02/D2 and MOMS-2P data sets have demonstrated, that the result of multispectral and anisotropy based classification is determined by different biophysical parameters. In case of vegetation, the spectral approach explores mainly the absorption of incoming radiation by pigments and water, while the anisotropy information is due to stand structure and plant architecture. The synergistic potential of the combined use of multispectral and anisotropy information could be pointed out by the increase of the classification accuracy for the combined multispectral and stereo bands evaluation. The results of visual interpretation led to the conclusion that a further substantial increase can be expected using adopted classification routines.