A New Soil Moisture Estimation Method Study Using PolinSAR

Inhalt:
At this paper, from the basic idea for sub-canopy parameters extraction using Polarimetric SAR interferometry and SIR-C L band polarimetric SAR interferometric data, a new method for sub-canopy soil moisture estimation is proposed. Firstly, from the random oriented volume over ground two layer coherent scattering model and the statistical characteristics of Pol-InSAR coherency matrix, the fully maximum likelihood model is used to reconstruct the surface polarimetric coherency matrix with volume scattering components significantly removed; then, from reconstructed surface polarimetric coherency matrix, relative co-HH, VV and cross-HV polarization backscattering coefficient are obtained; at last, the sub-canopy soil moisture are inverted from Oh and Dihedral scattering model. Compared the inversion result with the field measurement, the preliminary result indicates that this inversion method has enough high inversion accuracy, if the new polarimetric SAR interferometric data with synchronously satellite-ground measurement can be acquired, the validity and accuracy of inversion method will be further investigated and validated.