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The deficiencies of remote sensing as applied to agriculture are to some extent due to the fact that optical sensors depend on day light and cloud-free coverage and, even under suitable weather conditions, miss important characters of the plant canopy that are related to crop species and yield. Thus the all-weather capability of radar offers considerable benefits for agricultural application especially in humid regions. In the presented paper SAR (Synthetic Aperture Radar) potential for species identification and yield prediction of agricultuFa1 crops is reviewed related both to multitemporal singlefrequency and singletemporal multifrequency multipolarization observations.