Multi‐temporal airborne synthetic aperture radar data for crop classification

This paper presents an approach to the classification of crop type using multi‐temporal airborne synthetic aperture radar (SAR) data. Following radiometric correction of the data the accuracy of a per‐field crop classification reached 90% for three classes using data acquired on four dates. A comparable accuracy of 88% could be obtained for a classification of the same classes using data acquired on only two dates. Increasing the number of classes from three to seven reduced the classification accuracies to 55% and 69% when using data from two and four dates respectively.