Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143 Rome, Italy.
Sensors (Basel). 2019 Sep 14;19(18):3976. doi: 10.3390/s19183976.
We use both Synthetic Aperture Radar (SAR) and Optical data to constrain the co-seismic ground deformation produced by the 2018 M 7.5 Sulawesi earthquake. We exploit data processing techniques mainly based on pixel cross-correlation approach, applied to Synthetic Aperture Radar (SAR) and optical images to estimate the North-South (NS) displacement component. This component is the most significant because of the NNW-SSE geometry of the fault responsible for the seismic event, i.e., the Palu-Koro fault, characterized by a strike-slip faulting mechanism. Our results show a good agreement between the different data allowing to clearly identify the surface rupture due to the fault slip. Moreover, we use SAR and optical intensity images to investigate several secondary phenomena generated by the seismic event such as tsunami, landslides, and coastal retreat. Finally, we discuss differences between SAR and optical outcomes showing strengths and disadvantages of each one according of the investigated phenomenon.
我们使用合成孔径雷达（SAR）和光学数据来约束 2018 年 M7.5 苏拉威西地震产生的同震地面变形。我们利用主要基于像素互相关方法的数据处理技术，应用于合成孔径雷达（SAR）和光学图像来估计南北（NS）位移分量。由于负责地震事件的断层即帕卢-科罗断层具有北北西-南南东的几何形状，因此该分量是最重要的，该断层具有走滑断层机制。我们的结果表明，不同数据之间存在很好的一致性，这使得我们能够清楚地识别出由于断层滑动而产生的地表破裂。此外，我们使用 SAR 和光学强度图像来研究地震事件产生的一些次生现象，如海啸、滑坡和海岸后退。最后，我们讨论了 SAR 和光学结果之间的差异，根据所研究的现象展示了每种方法的优缺点。
