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Technical Note

Accuracy of a Model-Free Algorithm for Temporal InSAR Tropospheric Correction

Department of Geophysics, Stanford University, Stanford, CA 94305, USA
Remote Sens. 2021, 13(3), 409; https://doi.org/10.3390/rs13030409
Received: 19 December 2020 / Revised: 21 January 2021 / Accepted: 22 January 2021 / Published: 25 January 2021
(This article belongs to the Section Remote Sensing Letter)
Atmospheric propagational phase variations are the dominant source of error for InSAR (interferometric synthetic aperture radar) time series analysis, generally exceeding uncertainties from poor signal to noise ratio or signal correlation. The spatial properties of these errors have been well studied, but, to date, their temporal dependence and correction have received much less attention. Here, we present an evaluation of the magnitude of tropospheric artifacts in derived time series after compensation using an algorithm that requires only the InSAR data. The level of artifact reduction equals or exceeds that from many weather model-based methods, while avoiding the need to globally access fine-scale atmosphere parameters at all times. Our method consists of identifying all points in an InSAR stack with consistently high correlation and computing, and then removing, a fit of the phase at each of these points with respect to elevation. A comparison with GPS truth yields a reduction of three, from a rms misfit of 5–6 to ~2 cm over time. This algorithm can be readily incorporated into InSAR processing flows without the need for outside information. View Full-Text
Keywords: InSAR; InSAR calibration; InSAR validation; atmosphere variations; troposphere variations InSAR; InSAR calibration; InSAR validation; atmosphere variations; troposphere variations
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MDPI and ACS Style

Zebker, H. Accuracy of a Model-Free Algorithm for Temporal InSAR Tropospheric Correction. Remote Sens. 2021, 13, 409. https://doi.org/10.3390/rs13030409

AMA Style

Zebker H. Accuracy of a Model-Free Algorithm for Temporal InSAR Tropospheric Correction. Remote Sensing. 2021; 13(3):409. https://doi.org/10.3390/rs13030409

Chicago/Turabian Style

Zebker, Howard. 2021. "Accuracy of a Model-Free Algorithm for Temporal InSAR Tropospheric Correction" Remote Sensing 13, no. 3: 409. https://doi.org/10.3390/rs13030409

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