Neutral atmospheric delay in interferometric synthetic aperture radar applications: Statistical description and mitigation

By T. Emardson, Mark Simons, F. Webb. 2003

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Corrections of stratified tropospheric delays in SAR interferometry: Validation with global atmospheric models (2009, background): “One type of approach is to characterize the statistical properties of phase delay patterns (Goldstein, 1995;Williams et al., 1998; Emardson et al., 2003; Lohman and Simons, 2005), which are used to construct covariance matrices of observables and to separate stochastic noise from ground motion signa”
Some thoughts on the use of InSAR data to constrain models of surface deformation: Noise structure and data downsampling (2005, methodology): “[12] We compare inferred noise covariances for several interferograms in the region surrounding the 1999 Mw Hector Mine (California) earthquake with previous work based on simulating expected InSAR covariances by using a large ensemble of GPS observations of tropospheric delay in Southern California”
High‐resolution interseismic velocity data along the San Andreas Fault from GPS and InSAR (2013, background): “This stacking will enhance the signal-to-noise ratio because, for example, the residual tropospheric noise is uncorrelated for a time span longer than 1 d [Williams et al., 1998; Emardson et al., 2003].”