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

机译:云量对卫星地震灾害应急制图的时空影响

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摘要

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.
机译:快速访问光学卫星图像的能力现在已成为管理大地震后的灾难响应的固有组成部分。这些图像提供了有关影响,程度和破坏强度的概要数据,这对于通过馈入响应协调来减轻进一步的损失至关重要。但是,尽管在云量限制图像可用性时可能会降低响应效率,但从未将云量的时空变化视为有效灾难映射设计的一部分。在这里,我们展示了云量的年度变化可能如何影响我们全年的快速响应能力,从而导致整体地震风险。我们发现,在全球范围内考虑云问题时,一年中最严重的地震灾难发生时间是在六月和八月之间。在这几个月中,连续超过3天从光学卫星视线掩盖了全球40%受地震威胁的人口。东南亚受到特别严重的影响,占受地震威胁的人口的大部分,每个月可能被云遮盖。我们的结果表明,就我们有效响应的能力而言,地震时机的重要性,突显了对灾害响应的更智能设计的需求,而该设计不应过度依赖光学卫星图像。

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