| Summary: | Manual analysis of LiCSAR deformation data in tectonic zones and timely detection of pre-earthquake anomalous activity are very time-consuming. To solve this problem, an LiCSAR-based anomaly detector of seismic deformation in interferometric synthetic aperture radar (LADSDIn) is constructed in this article. LADSDIn can automatically detect and extract anomalous activity and seismic deformation in tectonic zones. LADSDIn is modeled by learning the spatiotemporal characteristics of MTInSAR time series deformation data to detect abnormal deformation. The detector considers transients that deviate from the “predicted” deformation, which are considered “anomalous.” For earthquake-prone regions, “anomalies” with outlier characteristics in spatial and temporal properties are usually the deformations caused by seismic activities. We successfully applied LADSDIn to January 8, 2022, Menyuan Mw 6.7 earthquake in China, and LADSDIn successfully detected the extent of ground deformation induced by this seismic activity. The results show that the deformation range of the ascending track is −350–87 mm, and the deformation range of the descending track is −127–132 mm. The detector successfully detected the “anomalous deformation” signs before the earthquake (November 2021). In addition, LADSDIn supports parallel processing in chunks to reduce computation time. The characteristics of LADSDIn facilitate cluster deployment and use for automatic detection and extraction of seismic deformation in global tectonic zones. This work provides theoretical support for the automation and refinement study of global seismic activity.
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