The estimation of degradation in agricultural lands from fully polarimetric synthetic aperture radar (SAR) data at C-band
using differential SAR interferometry is investigated. To this aim, we used a dataset of high resolution SAR images
collected in the joint ESA-CSA SOAR Europe-16605 scientific proposal framework that have been processed through
the persistent scattering – DInSAR technique. Moreover, to improve PSInSAR analysis, we used polarimetric
optimization method on multi-temporal polarimetric SAR data. Optimization is based on the selection of the most stable
scattering mechanism over time since the unitary complex column vector is related to the geometric and electromagnetic
features of the target. We applied this method on a dataset including 14 compact polarization SAR data (HH/HV/VV)
acquired by RADARSAT2 from August 2014 to November 2015 over Braila agricultural area. The area has been
affected by land degradation due to salinization and irrigation water overexploitation. The results reveal that the use of
an optimum scattering mechanism provides a significant improvement in increasing the PS density and hence the density
of the pixels with valid deformation results with respect to single-pol data (about 50% more than single channel
datasets).
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