Contribution of PolInSAR Parameters of the Coherence Region to Crop Classification with Bistatic TanDEM-X Data

Kurzfassung

This study investigates the contribution of PolInSAR features, which correspond to characteristic parameters of the coherence region, in crop-type classification based on single-pass TanDEM-X bistatic data. Crop classification is carried out by means of a random forest classifier over an agricultural area in Sevilla, Spain. Accuracy metrics demonstrate the suitability of the PolInSAR observables for this purpose. A maximum accuracy of 90% and 94% at pixel and field level is obtained, respectively, when all the evaluated PolInSAR parameters are employed jointly as input features. This demonstrates their sensitivity to the crop structure, which is relevant for classification purposes.