Nighttime lights reveal substantial spatial heterogeneity and inequality in post-hurricane recovery

IF 11.4 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES Remote Sensing of Environment Pub Date : 2025-03-15 Epub Date: 2025-02-12 DOI:10.1016/j.rse.2025.114645
Qiming Zheng , Yiwen Zeng , Yuyu Zhou , Zhuosen Wang , Te Mu , Qihao Weng
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Abstract

While severe hurricanes continue to challenge the resilience of local communities, fine-scale knowledge of post-hurricane recovery remains scarce. Existing recovery tracking approaches mainly rely on aggregated metrics that would disguise the spatial heterogeneity in recovery patterns. Here, we present a spatiotemporally explicit investigation into the recovery of human activity after 10 recent severe hurricanes in the U.S., with daily nighttime light (NTL) time series images from NASA's Black Marble VIIRS NTL product suite. We utilized a Bayesian-based time series change detection model and temporal clustering algorithm to analyze the post-hurricane recovery of each built-up area pixel within 446 counties severely affected by the hurricanes. To investigate the potential inaccuracies stemming from assessments using aggregated statistics, we further compared the recovery pattern estimated at pixel scale with that estimated by aggregated NTL radiance at county and census tract scales. Last, we examined the inequality in post-hurricane recovery and how it related to socioeconomic factors and current hurricane assistance programs. Our analysis shows a 7-fold difference in the recovery duration of hurricane-affected built-up areas within a county, with one-third of the areas experiencing a prolonged recovery lasting over 200 days. We emphasize the necessity of fine-scale knowledge in recovery assessments as aggregated statistics tend to largely underestimate the severity of hurricane impact and spatial heterogeneity of recovery. More importantly, we identify a prevailing recovery inequality across minority and disadvantaged populations, as well as a continued disproportionate allocation of hurricane assistance served as a key driver of exacerbating recovery inequality. Our study offers nuanced insights into the spatial heterogeneity of post-hurricane recovery that can inform strategic and equitable recovery efforts, as well as more effective hurricane relief programs and protocols.
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夜间灯光显示了飓风后恢复的空间异质性和不平等
虽然严重的飓风继续挑战当地社区的恢复能力,但关于飓风后恢复的详细知识仍然很少。现有的恢复跟踪方法主要依赖于汇总指标,这掩盖了恢复模式的空间异质性。在这里,我们用NASA的Black Marble VIIRS NTL产品套件提供的每日夜间灯光(NTL)时间序列图像,对美国最近10次严重飓风后人类活动的恢复进行了时空上的明确调查。利用基于贝叶斯的时间序列变化检测模型和时间聚类算法,分析了446个受飓风严重影响的县的每个建成区像元的灾后恢复情况。为了研究使用汇总统计数据进行评估可能产生的不准确性,我们进一步比较了在像素尺度上估计的恢复模式与在县和普查区尺度上通过汇总NTL辐射估计的恢复模式。最后,我们研究了飓风后恢复中的不平等,以及它与社会经济因素和当前飓风援助计划的关系。我们的分析显示,一个县内受飓风影响的建成区的恢复时间相差7倍,其中三分之一的地区经历了超过200天的长时间恢复。我们强调精细尺度知识在恢复评估中的必要性,因为汇总统计往往在很大程度上低估了飓风影响的严重程度和恢复的空间异质性。更重要的是,我们确定了少数民族和弱势群体之间普遍存在的恢复不平等,以及飓风援助的持续不成比例分配是加剧恢复不平等的关键驱动因素。我们的研究为飓风后恢复的空间异质性提供了细致入微的见解,可以为战略和公平的恢复工作以及更有效的飓风救援计划和协议提供信息。
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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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