Forest plays an important role as a natural resource in the carbon (biomass) storage and the carbon dynamic cycle. Remote sensing data and techniques have been used to estimate biomass, most notably, radar backscattered intensity has been applied with some success using L-band and P-band data [1]. Classification based on P-band polarimetric SAR (PolSAR) data has revealed good correlation between the Wishart classified results and the tree ages of homogeneous forest [2]. Recently, PolSAR interferometry has shown promise of estimating forest heights based on a random volume over ground model [3]. The relation between forest height and biomass is currently refined and remains a topic for further study [4].