Evaluation of Noise in Deformation Time Series Extracted by Small Baseline Interferometry

Interferometric synthetic aperture radar (InSAR) time series is a technique to evaluate earth surface deformation over large areas. One of the InSAR time series algorithms is small baseline subset (SBAS) method that has been successfully used for monitoring deformation. Noise assessment and spatiotemporal evaluation of deformation time series is an important factor in understanding and interpreting deformation in the study area. In this paper، we used SBAS interferometry method for extracting deformation time series caused by land subsidence in the Mahyar plain in Isfahan province of Iran. Noise structure of the deformation time series is then estimated with using multivariate w-test statistics. This assessment leads to estimate parameters of deformation time series realistically. Moreover، the results show that overall-time series do not provide new information about deformation in study area، according to spatial correlation among neighbor pixels.