SIGMA+DetrendInSAR: InSAR Displacement Time Series Methods

SIGMA, Strain-model based InSAR for Geo-hazards' Monitoring Approach[1], aims to decrease the decorrelation noise in DInSAR interograms based on strain model, and to obtain high-quality InSAR phase time series.
DetrendInSAR, DEcrease both the TRENd and Dem-correlated components in InSAR time series[2], aims to decrease the atmospheric delays and orbital errors in InSAR phase time series (SIGMA output) based on the spatiotemporal characteristics of different components, and to obtain high-quality InSAR displacement time series.

These two methods serve as the post-processing procedure for InSAR displacement measurement based on unfiltered DInSAR interferograms (generated using other popular software). All processes are conducted in Matlab software, and these two methods can be used independently. The latest code can be found at https://gip.csu.edu.cn/radar/xzzx/gkrj.htm

Reference:
[1] Liu, J., Hu, J., Bürgmann, R., Li, Z., Sun, Q., & Ma, Z. (2021). A Strain-Model Based InSAR Time Series Method and Its Application to The Geysers Geothermal Field, California. Journal of Geophysical Research: Solid Earth, 126(8), e2021JB021939. https://doi.org/10.1029/2021JB021939
[2] Liu J., Hu J., Bürgmann R., Li Z., & Jónsson S. (2024). Mitigating Atmospheric Delays in InSAR Time Series: The DetrendInSAR Method and Its Validation. Journal of Geophysical Research: Solid Earth, 129, e2024JB028920. https://doi.org/10.1029/2024JB028920

Please feel free to contact me for any questions, email: liujihong@csu.edu.cn (be sure introducing yourself in the email).