MICROWAVE remote sensing, in particular radar, has a great potential to complement traditional remote sensing techniques in the monitoring and assessment of crop growth. The primary advantages of radar are that it can penetrate through clouds and acquire day or night time data. In addition, at the appropriate frequencies, it provides information on the entire canopy and not just the first layer of leaves. Charaterizing vegetation (crop growth) and obtaining radar observations for a range of system configurations are challenging problems. Although numerous experiments have been carried out to investigate the response of microwave sensors to crop growth parameters [1]-[4], additional comprehensive studies for a variety of crops are needed to develop robust retrieval methods. One approach to providing these data sets is to use a multifrequency ground-based polarimetric scatterometer. This approach facilitates better control of the target (field) conditions and, as implemented here, facilitates the continuous monitoring of a field. Several previous investigations have utilized this approach [5], [6].