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Using optical and synthetic aperture radar remote sensing technology to detect earthquake damage following the 1999 Marmara, Turkey earthquake

机译:使用光学和合成孔径雷达遥感技术检测1999年土耳其马尔马拉地震后的地震破坏

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For several years, a Multidisciplinary Center for Earthquake Engineering Research (MCEER) team has been investigating the use of remote sensing technology for post-earthquake damage detection and emergency response. This research has focused on various aspects of damage detection including: (1) the basic distinction between damage, versus non-damage on a regional basis; (2) the quantification of various damage states on a city wide basis; and (3) the assessment of damage sustained by specific buildings This paper introduces methodological procedures for characterizing urban building damage using optical SPOT4 and ERS Synthetic Aperture Radar (SAR) remote sensing imagery Preliminary damage detection algorithms are introduced for the 1999 Marmara earthquake in Turkey, demonstrating the ability of advanced technologies to identify urban damage, and thereby determine the scale of a disaster A quantitative assessment is made of the magnitude and extent of building collapse within the city of Golcuk, using 'damage profiles' The evaluation of damage on a per-building basis requires higher resolution imagery, which was unavailable for the Marmara event This topic is instead being addressed through an ongoing study of Quickbird imagery for the 2003 Boumerdes, Algeria earthquake The significance of these findings is far-reaching In terms of benefits to emergency responders, damage profiles generated from remote sensing coverage promise an accelerated rate of response, while guiding the scale of response efforts and resource allocation They further provide critical information to international aid agencies, supporting logistical planning and deployment of equipment.
机译:几年来,地震工程研究多学科中心(MCEER)团队一直在研究将遥感技术用于地震后损伤检测和应急响应的研究。这项研究集中在损坏检测的各个方面,包括:(1)损坏与不损坏之间的基本区别(基于区域); (2)在全市范围内量化各种破坏状态; (3)特定建筑物遭受的破坏的评估本文介绍了使用光学SPOT4和ERS合成孔径雷达(SAR)遥感影像表征城市建筑物破坏的方法学程序,介绍了1999年土耳其马尔马拉地震的初步破坏检测算法,展示先进技术识别城市破坏并确定灾害规模的能力。使用“破坏剖面图”对Golcuk市内建筑物倒塌的程度和程度进行定量评估。建立基础需要更高分辨率的图像,这对于马尔马拉事件是不可用的。该主题正在通过一项持续的对2003年阿尔及利亚布默德斯地震的快鸟图像的研究来解决。这些发现的意义是深远的响应者,由遥感覆盖范围p产生的破坏情况降低了加快的响应速度,同时指导了响应工作和资源分配的规模。它们进一步向国际援助机构提供关键信息,支持后勤计划和设备的部署。

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