Abstract
Three Differential Synthetic Aperture Radar Interferometry (D-InSAR) methods are compared on the capability of obtaining land subsidence temporal data. These three methods including, Interferograms time-series stacking, Permanent Scatters D-InSAR(PS-InSAR) and Multi-Baseline D-InSAR are all base on interferometry phase spatial-temporal analysis to increase reliability. They are used to extract land subsidence mean velocity from time serial SAR images in nearly two years. Experimental results are compared by data source quality requirement, extracted data density and precision and then evaluated their applicability. The results show that though these D-InSAR methods limited by sensor restriction, baseline decorrelation and atmosphere affect, they could get reliable mean velocity distribution of land subsidence from difficult condition by careful selection of data source and methods.
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