Challenges and Prospects to Time Series Burst Overlap Interferometry (BOI): Some Insights from a New BOI Algorithm Test over the Chaman Fault

Zhang Feng Ma, Sheng Ji Wei, Xing Li, Yosuke Aoki, Jihong Liu, Xiao Jie Liu, Wen Fei Mao, Shun Yang, Nan Xin Wang, Qi Huan Huang, Teng Huang, Sang Ho Yun

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

How to obtain millimeter-scale along-track deformations using phase measurements is still a pending question for InSAR community. Although Burst Overlap Interferometry (BOI) technique makes this question seem tractable, most applications of BOI still focus on extracting centimeter-scale deformations for co-seismic cases. To further improve measurement accuracy, here we propose a new time series BOI algorithm towards maximizing the performance of BOI and obtaining as high accuracy of the along-track deformations as possible. This algorithm has three major steps. The first step is to enhance BOI phase signal-to-noise ratio using our newly proposed phase estimator. In the second step, we apply a strain model-based method to further suppress the phase noise and rescue more data points. In the third step, a misregistration correction procedure which considers plate motion is applied to mitigate BOI time series bias. We tested our proposed algorithm over the Chaman fault. Although the derived millimeter-scale deformations demonstrate the effectiveness of our method, experimental results show that decorrelation and ionospheric disturbance are still two great challenges of BOI techniques.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Transactions on Geoscience and Remote Sensing
DOIs
StatePublished - Sep 27 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-10-18
Acknowledgements: This research was supported by Singapore MOE project (MOE2019–T2–1–182) and the Earth Observatory of Singapore via its funding from the National Research Foundation Singapore and the Singapore Ministry of Education under the Research Centers of Excellence initiative. This work was supported in part by the National Natural Science Foundation of China under Grant 42274038. This work was also partly supported by the China Scholarship Council 202006710013. The authors would like to thank the editors and three anonymous reviewers for their help and valuable comments. We are also very grateful to an anonymous reviewer for his valuable comments on azimuth misregistration error correction during the review process of [55], which led us to begin paying attention to the influence of plate motion on misregistration. We thank Global Centroid Moment Tensor Catalog (GCMT) for providing earthquake catalogs. Sentinel-1 data were freely provided by the European Space Agency.

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