Multispectral Imaging for Identification of High-Water Marks in Postdisaster Flood Reconnaissance
Multispectral Imaging for Identification of High-Water Marks in Postdisaster Flood Reconnaissance
复制标题
灾后洪水勘察中识别高水位线的多光谱成像
DOI：
10.1061/nhrefo.nheng-1735
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发表时间：
2023
影响因子：
2.7
通讯作者：
Frost, David
中科院分区：
文献类型：
--
作者：
Gardner, Michael;Nichols, Elliot;Stark, Nina;Lemnitzer, Anne;Frost, David
洪水每年在全球造成数千人死亡和数十亿美元的损失。由于城市环境和地表条件的变化，预测未来的洪水变得越来越具有挑战性。同时，由于气候变化和相关的降雨模式变化，严重洪水可能会增加，从而导致可能更强、更严重的洪水事件。高水位线代表洪水后要收集的关键信息，以促进对洪水影响的了解和制定缓解策略。然而，随着洪水事件发生后随着时间的推移，由于干燥，高水位线往往变得越来越难以检测。此外，由于基础设施被破坏，进入洪水地区的情况可能会变得复杂，从而导致数据重大丢失或进入这些最近洪水地区的人员面临风险。这里提供的初始数据展示了多光谱图像在洪水后快速收集和绘制高水位标记方面的应用。这些多光谱图像是在 2021 年 7 月 14 日西欧洪水事件发生后 3-4 周在德国迈绍斯镇阿尔河沿岸收集的。当时，受影响的建筑物、墙壁和土壤暴露在夏季高温和太阳辐射下，以及周围应急响应和维修工程产生的灰尘中。高水位线肉眼几乎看不见。初步结果表明，高水位线在蓝色波段（波长 443 至 507 nm）中显着增强，并且可以通过蓝色波段和红边波段（波长 705 至 729 nm）的线性组合进行模态隔离。结果表明，该技术有可能应用于灾后勘察，快速、安全地绘制高水位图，以确定城市地区洪水的严重程度和范围。
Flooding annually causes thousands of fatalities and billions of dollars in damage globally. Predicting future floods has become increasingly challenging due to changing urban environments and land surface conditions. Simultaneously, severe floods are likely to increase due to climate change and associated shifts in rain patterns, resulting into potentially stronger and more consequential flood events. High-water marks represent key information to be collected after flooding for advancing the understanding of flood impacts and the development of mitigation strategies. However, high-water marks often become increasingly difficult to detect with time passing after a flood event due to drying. In addition, access into flooded areas can be complicated by destroyed infrastructure, leading to significant loss of data or risk to personnel entering these recently flooded areas. Here, initial data are presented demonstrating the application of multispectral imagery in rapidly collecting and mapping high-water marks after flooding. The multispectral images were collected 3–4 weeks after the July 14, 2021, western European flood events in the town of Mayschoss, Germany, along the Ahr River. At that time, affected buildings, walls, and soil were exposed to high summer temperatures and solar radiation, as well as dust from surrounding emergency response and repair works. High-water marks were barely visible by eye. Preliminary results showed the high-water mark is significantly enhanced in the blue band (wavelength 443 to 507 nm) and can be modally isolated through linear combination of the blue band and red-edge band (wavelength 705 to 729 nm). The results illustrate the potential to apply this technique in postdisaster reconnaissance to quickly and safely map high-water levels to identify the magnitude and extent of flooding in urban areas.
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影响因子：
9.8
作者：
D. Muñoz;Paul Muñoz;H. Moftakhari;H. Moradkhani
通讯作者：
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DOI：
--
发表时间：
2004
期刊：
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DOI：
--
发表时间：
2016
期刊：
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作者：
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影响因子：
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作者：
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