A Preliminary Damage Assessment Using Dual Path Synthetic Aperture Radar Analysis for the M 6.4 Petrinja Earthquake (2020), Croatia
A Preliminary Damage Assessment Using Dual Path Synthetic Aperture Radar Analysis for the M 6.4 Petrinja Earthquake (2020), Croatia
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DOI：
10.3390/rs13122267
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发表时间：
2021-06
期刊：
影响因子：
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通讯作者：
S. Karimzadeh;M. Matsuoka
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文献类型：
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作者：
S. Karimzadeh;M. Matsuoka
2020年12月29日，克罗地亚中部发生6.4级地震。地震造成佩特林贾镇(距离震中约6公里)及周边地区人员伤亡和建筑物受损。这项研究的目的是利用从哨兵1号任务的上升轨道和下降轨道获得的六幅合成孔径雷达(SAR)图像(C波段)，来表征佩特林加地震后的地面位移并估计受损地区的位置。从合成孔径雷达干涉测量(InSAR)获得的上行(Sentinel-1A)和下行(Sentinel-1B)数据集的相位信息被用于估计地面位移。对于损伤映射，我们使用直方图信息和RGB方法来可视化受影响的区域。在稀疏灾区，我们还提出了一种基于多元蚀变检测(MAD)和朴素贝叶斯(NB)的方法，其中震前和同震相干图和地理编码烈度图是主要的自变量，高程和位移图也是主要的自变量。对于培训，使用了大约70%的数据，其余的数据用于验证。结果表明，尽管C波段SAR图像在植被密集地区存在局限性，但与哥白尼应急管理服务(CEMS)的结果相比，MAD+NB的总体准确率为68%。
On 29 December 2020, an earthquake with a magnitude of M 6.4 hit the central part of Croatia. The earthquake resulted in casualties and damaged buildings in the town of Petrinja (~6 km away from the epicenter) and surrounding areas. This study aims to characterize ground displacement and to estimate the location of damaged areas following the Petrinja earthquake using six synthetic aperture radar (SAR) images (C-band) acquired from both ascending and descending orbits of the Sentinel-1 mission. Phase information from both the ascending (Sentinel-1A) and descending (Sentinel-1B) datasets, acquired from SAR interferometry (InSAR), is used for estimation of ground displacement. For damage mapping, we use histogram information along with the RGB method to visualize the affected areas. In sparsely damaged areas, we also propose a method based on multivariate alteration detection (MAD) and naive Bayes (NB), in which pre-seismic and co-seismic coherence maps and geocoded intensity maps are the main independent variables, together with elevation and displacement maps. For training, approximately 70% of the data are employed and the rest of the data are used for validation. The results show that, despite the limitations of C-band SAR images in densely vegetated areas, the overall accuracy of MAD+NB is ~68% compared with the results from the Copernicus Emergency Management Service (CEMS).