Abstract
Polarimetric Synthetic Aperture Radar (SAR) Interferometry (Pol-InSAR) is a radar remote sensing technique, based on the coherent combination of radar polarimetry (Pol-SAR) and SAR interferometry (InSAR) which is substantially more sensitive to structural parameters of forest volume scatterers (e.g. forest) than conventional interferometry or polarimetry alone. However, temporal decorrelation is probably the most critical factor towards a successful implementation of Pol-InSAR parameter inversion techniques in terms of repeat-pass InSAR scenarios. In this paper the impact of temporal decorrelation in Pol-InSAR model is discussed. For compensating inversion height error induced by temporal decorrelation multibaseline Pol-InSAR inversion approach is proposed. The approach is supported and validated by using L-band E-SAR repeat-pass Pol-InSAR data acquired in the frame of TempoSAR 2008 campaign.
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