MULTIBASELINE POLARIMETRIC SAR INTERFEROMETRY FOREST HEIGHT INVERSION APPROACHES

Abstract

Polarimetric SAR interferometry (Pol-InSAR) is a radar remote sensing technique that is sensitive to the vertical distribution of scattering processes in volumes. The Random Volume over Ground (RVoG) model is a powerful tool used to invert forest height from Pol-InSAR data. But Pol-InSAR inversion performance depends critically on uncompensated decorrelation contributions (i.e. temporal decorrelation in repeat pass system) and the height sensitivity of the effective baseline, represented by the vertical wavenumber . To overcome these constraints a multibaseline Pol-InSAR inversion approach could be an effective solution. In this paper, different approaches for combining multibaseline Pol-InSAR inversion results are proposed and discussed. Multibaseline Pol-InSAR data acquired by DLR’s E-SAR system over the Traunstein forest during the TempoSAR 2008 campaign are used.