Forest above ground biomass estimation from P-band tomography data

Forest above ground biomass (AGB) retrieval by TomoSAR technology has been preliminary studied over the last two years. Recent experiments have demonstrated that the backscattered power in HV channel at 30-m layer have strong correlation with the forest AGB, and be successfully used to build the estimation model. However, much progress remains necessary to make the best of the vertical distribution of the backscattered power. In this work, we proposed a multivariate regression equation to refine the AGB estimation model. The experiments were carried out on TropiSAR campaign data over the site of Paracou, French Guiana. As expected, the results demonstrate the relevance of the proposed method.