Spatial Assessment of Community Resilience from 2012 Hurricane Sandy Using Nighttime Light
Spatial Assessment of Community Resilience from 2012 Hurricane Sandy Using Nighttime Light
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DOI：
10.3390/rs13204128
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发表时间：
2021-10
期刊：
影响因子：
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通讯作者：
Jinwen Xu;Y. Qiang
中科院分区：
文献类型：
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作者：
Jinwen Xu;Y. Qiang
由于缺乏关于灾害中人类动态的经验数据，对社区复原力进行定量评估是一项挑战。为了填补数据空白，本研究探讨了夜间灯光（NTL）遥感图像在评估自然灾害中的社区恢复和复原力的实用性。具体来说，这项研究利用新发布的NASA月光调整SNPP-VIIRS每日图像分析NTL辐射的时空变化在飓风桑迪（2012年）。基于恢复轨迹的概念框架，在不同的空间单元上计算了飓风期间的NTL扰动和恢复，并使用空间分析工具进行了分析。回归分析被用来探索观察到的NTL变化和解释变量之间的关系，如风速，房屋损坏，土地覆盖，和Twitter的关键字。研究结果揭示了自然灾害损失变化的潜在影响因素和灾害影响与恢复的城乡差异。这项研究表明，NTL遥感图像是一种低成本的工具，可以收集近实时，大规模和高分辨率的灾害中的人类动态数据，这为社区恢复和复原力提供了新的见解。未被发现的社区恢复的空间差异有助于提高当地社区的灾害意识和备灾能力，并提高抵御未来灾害的能力。本文对SNPP-VIIRS日影像的分析流程进行了系统的阐述，为今后SNPP-VIIRS日影像的应用研究提供了参考。
Quantitative assessment of community resilience is a challenge due to the lack of empirical data about human dynamics in disasters. To fill the data gap, this study explores the utility of nighttime lights (NTL) remote sensing images in assessing community recovery and resilience in natural disasters. Specifically, this study utilized the newly-released NASA moonlight-adjusted SNPP-VIIRS daily images to analyze spatiotemporal changes of NTL radiance in Hurricane Sandy (2012). Based on the conceptual framework of recovery trajectory, NTL disturbance and recovery during the hurricane were calculated at different spatial units and analyzed using spatial analysis tools. Regression analysis was applied to explore relations between the observed NTL changes and explanatory variables, such as wind speed, housing damage, land cover, and Twitter keywords. The result indicates potential factors of NTL changes and urban-rural disparities of disaster impacts and recovery. This study shows that NTL remote sensing images are a low-cost instrument to collect near-real-time, large-scale, and high-resolution human dynamics data in disasters, which provide a novel insight into community recovery and resilience. The uncovered spatial disparities of community recovery help improve disaster awareness and preparation of local communities and promote resilience against future disasters. The systematical documentation of the analysis workflow provides a reference for future research in the application of SNPP-VIIRS daily images.