The Spatial and Temporal Influence of Cloud Cover on Satellite-Based Emergency Mapping of Earthquake Disasters

The Spatial and Temporal Influence of Cloud Cover on Satellite-Based Emergency Mapping of Earthquake Disasters
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云量对地震灾害卫星应急测图的时空影响

DOI:
10.1038/s41598-019-49008-0
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发表时间:
2019
期刊:
影响因子:
4.6
通讯作者:
R. Walters
R. Walters
中科院分区:
综合性期刊3区
文献类型:
--
作者:
T. Robinson;N. Rosser;R. Walters

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快速获取光学卫星图像的能力现在是管理大地震后的救灾工作的一个固有组成部分。这些图像提供了关于影响、范围和破坏强度的天气数据,这对于通过反馈到响应协调中来减轻进一步的损失至关重要。然而,虽然当云层覆盖限制图像可用性时,响应效率可能会受到阻碍,但云层覆盖的时空变化从未被视为有效灾害绘图设计的一部分。在这里,我们展示了云量的年度变化如何影响我们全年快速反应的能力,从而增加了整体地震风险。我们发现,在全球范围内,当考虑云时,一年中地震灾害最严重的时间是6月至8月。在这几个月里,全球40%处于地震风险中的人口连续3天以上无法从光学卫星上看到。东南亚受影响特别严重,占每月可能被云层遮挡的地震风险人口的大多数。我们的研究结果表明,地震发生的时间对我们有效应对能力的重要性,强调需要更智能的灾害响应设计,而不是过度依赖光学卫星图像。
The ability to rapidly access optical satellite imagery is now an intrinsic component of managing the disaster response that follows a major earthquake. These images provide synoptic data on the impacts, extent, and intensity of damage, which is essential for mitigating further losses by feeding into the response coordination. However, whilst the efficiency of the response can be hampered when cloud cover limits image availability, spatio-temporal variations in cloud cover have never been considered as part of the design of effective disaster mapping. Here we show how annual variations in cloud cover may affect our capacity to respond rapidly throughout the year and consequently contribute to overall earthquake risk. We find that on a global scale when accounting for cloud, the worst time of year for an earthquake disaster is between June and August. During these months, 40% of the global population at risk from earthquakes are obscured from optical satellite view for >3 consecutive days. Southeastern Asia is particularly strongly affected, accounting for the majority of the population at risk from earthquakes that could be obscured by cloud in every month. Our results demonstrate the importance of the timing of earthquakes in terms of our capacity to respond effectively, highlighting the need for more intelligent design of disaster response that is not overly reliant on optical satellite imagery.
DOI: 10.5194/nhess-18-2161-2018
发表时间: 2018-08-23
影响因子: 4.6
作者:
Froude, Melanie J.;Petley, David N.
通讯作者: Petley, David N.