Improved coseismic deformation detection via SBAS InSAR-Hyperbolic tangent step model integration

IF 8.6 Q1 REMOTE SENSING
Hua Gao , Mingsheng Liao , Hui Lin , Guangcai Feng , Yuchao Zhong , Xiaohui Zha
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引用次数: 0

Abstract

The centimeter level deformation generated by small and medium-sized earthquakes contains rich information on tectonic activity, which is of great value for improving the coseismic deformation database and fault dynamics models. InSAR is an important means of observing coseismic deformation, but there is a problem of insufficient observation accuracy for centimeter level coseismic deformation in complex environments. Time-series InSAR advances achieve millimeter-scale deformation monitoring, yet detecting subtle coseismic signals from Mw 5.0–6.5 earthquakes remains challenging in complex environments by computational limits and step-like model discontinuities. We develop a method incorporating SBAS-InSAR and a hyperbolic tangent (tanh) step function to overcome these barriers. Simulations based on Sentinel-1 and MintPy demonstrate 15–55 % RMSE reductions (0.08–0.45 cm) in coseismic fields versus conventional DInSAR/Stacking methods. Applied to the 2021 Yangbi Mw5.9 event, our approach reveals: (1) The tanh-based model maintains phase continuity during abrupt deformation and decouples linear tectonic motion. (2) It enhances displacement field accuracy with 18–61 % noise suppression and the reliability of finite fault inversion. The model enables seconds deformation estimation for single earthquakes on standard hardware, advancing detection thresholds to sub-centimeter levels in high-coherence region. These breakthroughs expand InSAR’s capability in small-magnitude earthquake mechanics analysis. Future integration with advanced InSAR methodologies promises enhancements in seismic hazard system assessments.
基于SBAS insar -双曲正切阶跃模型集成的改进同震变形检测
中小地震产生的厘米级形变包含丰富的构造活动信息,对完善同震形变数据库和断层动力学模型具有重要价值。InSAR是观测同震形变的重要手段,但在复杂环境下厘米级同震形变存在观测精度不足的问题。时间序列InSAR技术的进步实现了毫米尺度的变形监测,但在复杂的环境中,由于计算限制和阶梯状模型的不连续性,探测5.0-6.5级地震的微妙同震信号仍然具有挑战性。我们开发了一种结合SBAS-InSAR和双曲正切(tanh)阶跃函数的方法来克服这些障碍。基于Sentinel-1和MintPy的模拟表明,与传统的DInSAR/叠加方法相比,在同震场中RMSE降低了15 - 55% (0.08-0.45 cm)。应用于2021年杨壁Mw5.9事件,我们的方法表明:(1)基于tanh的模型在突变变形期间保持了相连续性,并解耦了线性构造运动。(2)提高了位移场精度,噪声抑制率达18% ~ 61%,提高了有限断层反演的可靠性。该模型可以在标准硬件上对单次地震进行秒变形估计,将高相干区域的检测阈值提高到亚厘米级。这些突破扩大了InSAR在小震级地震力学分析方面的能力。未来与先进InSAR方法的整合有望增强地震灾害系统评估。
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来源期刊
International journal of applied earth observation and geoinformation : ITC journal
International journal of applied earth observation and geoinformation : ITC journal Global and Planetary Change, Management, Monitoring, Policy and Law, Earth-Surface Processes, Computers in Earth Sciences
CiteScore
12.00
自引率
0.00%
发文量
0
审稿时长
77 days
期刊介绍: The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.
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