Damage Assessment of Bridges Due to the 2020 July Flood in Japan Using ALOS-2 Intensity Images
Damage Assessment of Bridges Due to the 2020 July Flood in Japan Using ALOS-2 Intensity Images
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使用 ALOS-2 强度图像对 2020 年 7 月日本洪水造成的桥梁损坏进行评估
DOI：
10.1109/igarss47720.2021.9554001
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Yamazaki Fumio
中科院分区：
文献类型：
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作者：
Liu Wen;Maruyama Yoshihisa;Yamazaki Fumio
2020年7月3日至31日，破纪录的强降雨袭击了日本。河流水位迅速上涨，许多桥梁被冲走。在这项研究中，引入了两个时间ALOS-2 PALSAR-2强度图像，用于检测日本熊本县八城市和Ashikita镇的久马河上受损的桥梁。首先，研究了桥梁的后向散射模型。然后通过后向散射强度的差值和相关系数检验了25座目标桥梁的损伤情况。此外，通过桥梁的SAR模型的运动来估计水位的上升。利用实地调查报告和震后SPOT-7卫星光学图像验证了我们的结果。
Record-breaking heavy rainfall hit Japan from July 3 to 31, 2020. The water level of rivers rose rapidly, and many bridges were washed away. In this study, two temporal ALOS-2 PALSAR-2 intensity images were introduced to detect damaged bridges over the Kuma River in Yatsushiro City and Ashikita Town, Kumamoto Prefecture, Japan. First, the backscattering models of bridges were investigated. Then the damage conditions of twenty-five target bridges were examined by the difference and correlation coefficient in the backscatter intensity. In addition, the increases of water levels was estimated by the movements of bridges' SAR model. A field survey report and a post-event SPOT-7 satellite optical image were used to verify our results.