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A Strain‐Model Based InSAR Time Series Method and Its Application to The Geysers Geothermal Field, California
Author(s) -
Liu Jihong,
Hu Jun,
Bürgmann Roland,
Li Zhiwei,
Sun Qian,
Ma Zhangfeng
Publication year - 2021
Publication title -
journal of geophysical research: solid earth
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.983
H-Index - 232
eISSN - 2169-9356
pISSN - 2169-9313
DOI - 10.1029/2021jb021939
Subject(s) - decorrelation , interferometric synthetic aperture radar , geothermal gradient , geology , displacement (psychology) , interferometry , series (stratigraphy) , synthetic aperture radar , geodesy , displacement field , deformation (meteorology) , algorithm , remote sensing , computer science , optics , geophysics , physics , finite element method , engineering , structural engineering , psychology , paleontology , oceanography , psychotherapist
A new time series interferometric synthetic aperture radar method is presented based on a strain model. Traditionally, the interferometric phases are optimized based only on a constant set of statistically homogeneous points throughout the observing period, and thus the decorrelated phase cannot be well recovered and possible incoherent (or coherent) phases are (are not) used to optimize the target phase. In the proposed method, a strain model, representing the geophysical relationship of spatially adjacent points' deformations, is employed to optimize the interferometric phases interferogram‐by‐interferogram. The unwrapped phase time series can be estimated from the wrapped interferograms based on the linear iterative weighted least squares method, which is simple and can effectively suppress the decorrelation noise. Both simulations and analysis of data over The Geysers geothermal field (TG), California are conducted, validating that the proposed method can reduce the decorrelations and simultaneously preserve the deformation signals. The displacement results of TG from 2007–2011 L‐band ascending ALOS‐1 data and 2015–2020 C‐band ascending/descending Sentinel‐1 data reveal that (a) the displacement rate of TG is decreasing from 2007–2011 to 2015–2020, and (b) temporally variable displacement signals in addition to steady displacement can be observed from 2015 to 2020 for both the east‐west and the vertical components.