Message from the Winner

IF 0.7 Q4 GEOSCIENCES, MULTIDISCIPLINARY
Wen Liu
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引用次数: 0

Abstract

It is my honor to receive the JDR Award for the Most Cited Paper 2022. I would sincerely like to thank the JDR editorial office, reviewers, and my co-author, Professor Yamazaki, for their support. The paper that received this honor was “Extraction of Collapsed Buildings in the 2016 Kumamoto Earthquake Using Multi-Temporal PALSAR-2 Data.” In this work, we proposed three change indices for evaluating the damage to buildings in Mashiki Town, Kumamoto Prefecture that were severely affected by the 2016 Kumamoto Earthquake. The indices were calculated from two pre- and one co-event ALOS-2 PALSAR-2 images. The most valid factor was adopted by comparing the extracted results with the reference data from field surveys. The factor was then applied to larger affected areas of Kumamoto City and its surroundings. In this work, the ALOS-2 proved to very effective in recognizing damages caused by nature disasters. This work has been cited by 21 journal papers as of December 2022. I am grateful to the editorial board of the JDR for affording us the opportunity to have this work published. We hope our results in this paper will help even more scientific works. Encouraged by this award, we will continue to conduct future investigations to further disaster prevention and management.
获奖者寄语
我很荣幸获得JDR 2022年被引用最多论文奖。我衷心感谢JDR编辑部、审稿人和我的合著者Yamazaki教授的支持。获得这一荣誉的论文是《利用多时相PALSAR-2数据提取2016年熊本地震中的倒塌建筑物》。在这项工作中,我们提出了三个变化指标来评估2016年熊本地震对熊本县益城镇建筑的破坏程度。这些指数是根据两个预事件和一个共事件ALOS-2 PALSAR-2图像计算的。将提取的结果与野外调查的参考数据进行比较,选择最有效的因子。然后将该因子应用于熊本市及其周围受影响较大的地区。在这项工作中,ALOS-2被证明在识别自然灾害造成的损害方面非常有效。截至2022年12月,该工作已被21篇期刊论文引用。我非常感谢JDR的编辑委员会为我们提供了发表这项工作的机会。我们希望我们在这篇论文中的结果将有助于更多的科学工作。受此奖励的鼓舞,我们将继续进行调查,以进一步预防和管理灾害。
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来源期刊
Journal of Disaster Research
Journal of Disaster Research GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
1.60
自引率
37.50%
发文量
113
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