Scholarlink

<p>On 6 February 2023, a magnitude Mw 7.8 and Mw 7.5 earthquake doublet struck southeastern Türkiye, resulting in significant casualties and property damage. This study presents an operational framework for three-dimensional (3D) co-seismic deformation field construction and rapid seismic damage assessment by integrating Sentinel-1 SAR and Sentinel-2 optical imagery, focusing on practical application and successfully applied in this earthquake doublet event. Pixel Offset Tracking (POT) on ascending and descending SAR pairs retrieved line-of-sight (LOS) and azimuth co-seismic displacements, while Sub-Pixel Correlation (SPC) of optical data provided horizontal deformation fields. The integration of surface deformation monitoring results obtained from the two aforementioned techniques has to some extent mitigated the limitations inherent in Sentinel-1 SAR data alone, including low azimuth deformation accuracy, insensitivity to north–south deformation, and decorrelation issues resulting from large deformation gradients. This approach enables the generation of a high-quality 3D co-seismic surface deformation field. To verify the accuracy of the results and the feasibility of the method, GPS measurements were used to validate the consistency of the deformation results. The results show that the deformation caused by the earthquake doublet along the East Anatolian Fault (EAF) was primarily in the east–west direction, with a maximum deformation exceeding 6&#xa0;m. Vertical movement included minor uplift and subsidence, with the maximum subsidence reaching 2.60&#xa0;m. Both of the main fault segments exhibited left-lateral strike-slip characteristics. Building upon the derived deformation fields, the deformation data were further integrated with the Normalized Difference Built-up Index (NDBI), the Normalized Difference Vegetation Index (NDVI), and amplitude differences to assess building damage in the city of Marash, demonstrating the potential of combining SAR and optical data. Compared to modern deep learning-based methods for building damage assessment that require high-resolution remote sensing imagery, this approach offers advantages in terms of easier data accessibility and higher computational efficiency, making it well-suited for rapid post-disaster response. These findings can be used to constrain fault slip inversion models, assess dynamic stress changes, and provide important insights for analyzing source mechanisms and fault geometries.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Three-Dimensional Co-Seismic Deformation Monitoring and Rapid Building-Damage Mapping of the 2023 Türkiye Earthquake Doublet Utilizing Combined Sentinel-1 and Sentinel-2 Data

  • 期刊论文

  • 发表日期：

    2026年2月19日

查看全文
  • Xiaolong Tian,
  • Yu Chen,
  • Yuhan Wang,
  • Shuai Wang,
  • Xinlong Chen,
  • Jie Li,
  • Xinwei Liu,
  • Jinze Tian,
  • Huibin Cheng

摘要

On 6 February 2023, a magnitude Mw 7.8 and Mw 7.5 earthquake doublet struck southeastern Türkiye, resulting in significant casualties and property damage. This study presents an operational framework for three-dimensional (3D) co-seismic deformation field construction and rapid seismic damage assessment by integrating Sentinel-1 SAR and Sentinel-2 optical imagery, focusing on practical application and successfully applied in this earthquake doublet event. Pixel Offset Tracking (POT) on ascending and descending SAR pairs retrieved line-of-sight (LOS) and azimuth co-seismic displacements, while Sub-Pixel Correlation (SPC) of optical data provided horizontal deformation fields. The integration of surface deformation monitoring results obtained from the two aforementioned techniques has to some extent mitigated the limitations inherent in Sentinel-1 SAR data alone, including low azimuth deformation accuracy, insensitivity to north–south deformation, and decorrelation issues resulting from large deformation gradients. This approach enables the generation of a high-quality 3D co-seismic surface deformation field. To verify the accuracy of the results and the feasibility of the method, GPS measurements were used to validate the consistency of the deformation results. The results show that the deformation caused by the earthquake doublet along the East Anatolian Fault (EAF) was primarily in the east–west direction, with a maximum deformation exceeding 6 m. Vertical movement included minor uplift and subsidence, with the maximum subsidence reaching 2.60 m. Both of the main fault segments exhibited left-lateral strike-slip characteristics. Building upon the derived deformation fields, the deformation data were further integrated with the Normalized Difference Built-up Index (NDBI), the Normalized Difference Vegetation Index (NDVI), and amplitude differences to assess building damage in the city of Marash, demonstrating the potential of combining SAR and optical data. Compared to modern deep learning-based methods for building damage assessment that require high-resolution remote sensing imagery, this approach offers advantages in terms of easier data accessibility and higher computational efficiency, making it well-suited for rapid post-disaster response. These findings can be used to constrain fault slip inversion models, assess dynamic stress changes, and provide important insights for analyzing source mechanisms and fault geometries.