How to cite:
Ansari, H.; De Zan, F.; Parizzi, A. Systematic Interferometric Phase Biases and Their Impact on Earth Surface Deformation Monitoring. Preprints2020, 2020100558
Ansari, H.; De Zan, F.; Parizzi, A. Systematic Interferometric Phase Biases and Their Impact on Earth Surface Deformation Monitoring. Preprints 2020, 2020100558
Ansari, H.; De Zan, F.; Parizzi, A. Systematic Interferometric Phase Biases and Their Impact on Earth Surface Deformation Monitoring. Preprints2020, 2020100558
APA Style
Ansari, H., De Zan, F., & Parizzi, A. (2020). Systematic Interferometric Phase Biases and Their Impact on Earth Surface Deformation Monitoring. Preprints. https://doi.org/
Chicago/Turabian Style
Ansari, H., Francesco De Zan and Alessandro Parizzi. 2020 "Systematic Interferometric Phase Biases and Their Impact on Earth Surface Deformation Monitoring" Preprints. https://doi.org/
Abstract
We scrutinize the reliability of multilooked interferograms for deformation analysis. Designing a simple approach in the evaluation of the accuracy of the estimated deformation signals, we reveal a prominent bias in the deformation velocity maps. The bias is the result of propagation of small phase error of multilooked interferograms through the time series and can sum up to 6.5 mm/yr in case of using the error prone short temporal baseline interferograms. We further discuss the role of the phase estimation algorithms in reduction of the bias and put recommend a unified intermediate InSAR product for achieving high-precision deformation monitoring.
Keywords
SAR Interferometry; Accuracy; Big Data; Deformation Monitoring, Sentinel-1; Fading Signal; Signal Decorrelation
Subject
Physical Sciences, Acoustics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
