针对 2023 年 2 月土耳其地震的 EEFIT 遥感侦察任务

IF 4.7 2区 地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Pub Date : 2024-10-10 DOI:10.1109/JSTARS.2024.3476029
Brandon Voelker;Pietro Milillo;Amin Tavakkoliestahbanati;Valentina Macchiarulo;Giorgia Giardina;Michael Recla;Michael Schmitt;Marzia Cescon;Yasemin D. Aktas;Emily So
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引用次数: 0

摘要

准确、快速的震后结构破坏评估对于人道主义救援至关重要。遥感技术有可能在减少数据延迟的情况下绘制大面积地图,但受到几个因素的限制,包括精度(与现场监测活动相比)和数据采集频率。在不可能或不希望进行现场勘察的情况下,目前依靠遥感数据进行的损害评估技术可以实现快速评估。然而,这些技术依赖于不同的尺度、测量方法和空间分辨率,因此很难将多种不同的损害产品同化到同质的损害地图中。在此,我们介绍了英国地震工程现场调查小组在 2023 年 2 月土耳其和叙利亚发生一系列地震后开展的基于遥感的勘测任务的结果。我们使用了一套基于合成孔径雷达、光学成像和地面报告的公开受损地图以及内部开发的受损产品,并评估了它们的相对准确性。我们描述了通过创建描述土耳其东南部建筑群和受损多样性的地图来支持现场勘察规划的过程,以协助实地勘察小组选择代表不同建筑类型和受损程度样本的区域。我们的研究结果表明,基于卫星的遥感损毁地图之间存在差异,仍需要大量验证数据来确定每种方法在高分辨率和中分辨率下的准确性。最后,我们对未来地震响应工作的规划和验证提出了建议。
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The EEFIT Remote Sensing Reconnaissance Mission for the February 2023 Turkey Earthquakes
Accurate and rapid postearthquake structural damage assessment is of vital importance for humanitarian relief. Remote sensing techniques have the potential to map large areas with reduced data latency but are limited by several factors, including accuracy (compared to in-situ monitoring campaigns) and data acquisition frequency. Current damage assessment techniques relying on remote sensing data enable rapid assessment in situations where on-site reconnaissance is not possible or desirable. Yet, these techniques rely on different scales, measurement methods, and spatial resolutions, making it difficult to assimilate many different damage products in a homogeneous damage map. Here, we present the results of the U.K.’s Earthquake Engineering Field Investigation Team's remote-sensing-based reconnaissance mission, which was carried out in the aftermath of the series of earthquakes that struck Turkey and Syria in February 2023. We use a set of publicly available damage maps based on synthetic aperture radar, optical imaging, and ground-based reports as well as in-house developed damage products and assess their relative accuracies. We describe the process of supporting on-site reconnaissance planning by creating maps that describe the building stock and diversity of damage in southeast Turkey to assist field survey teams in selecting regions that represent a diverse sample of building typologies and damage levels. Our results show that satellite-based remote sensing damage maps disagree with each other, and extensive validation data are still required to characterize the accuracy of each method at both high and medium resolution. Finally, we provide recommendations for planning and validation of future earthquake response efforts.
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来源期刊
CiteScore
9.30
自引率
10.90%
发文量
563
审稿时长
4.7 months
期刊介绍: The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.
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