In the next step, the unsupervised fuzzy k-means method was applied to both backscatter-filtered and texture-analyzed images. The unsupervised fuzzy k-means classifier was the most common clustering method used in a number of studies that mapped ice cover in Canadian rivers (e.g., [7,10–12,16]. The aim of the fuzzy k-means approach is data reduction, to aid in information transfer in the field of pattern RADARSAT-2 (FOW3)