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In this paper we introduce a new algorithm for radar estimation of the vertical structure of vegetated land surfaces. The algorithm is based on a low frequency 3-D image reconstruction using polarization coherence tomography or PCT. We first summarize the technique, present a new method for selecting the optimum interferometric baseline and then apply it to airborne P and X-Band data from the DLR E-SAR system. We conclude by assessing the potential of the technique for providing improved global and regional forestry products using space-borne radar remote sensing.