利用noaa - 20viirs日/夜波段数据分析土耳其-叙利亚地震引起的夜间灯光变化

Remote. Sens. Pub Date : 2023-07-07 DOI:10.3390/rs15133438
Yuan Yuan, Congxiao Wang, Shaoyang Liu, Zuoqi Chen, Xiaolong Ma, Wei Li, Ling Zhang, Bailang Yu
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引用次数: 2

摘要

2023年2月6日土耳其-叙利亚地震造成人员伤亡、道路破坏和建筑物倒塌等损失。我们利用NOAA-20 VIIRS夜间灯光(NTL)数据绘制并量化了受地震影响的不同距离和方向的区域。利用空间关联(LISA)方法的二元局部指标,探讨了NTL强度、人口密度和建筑密度的平均变化之间的关系。在土耳其,Hatay、Gaziantep和Sanliurfa的NTL损失最大。拉卡是叙利亚受影响最严重的城市,NTL损失率最高。相关分析表明,土耳其各省受伤种群数与NTL强度下降像元数呈线性相关,r平方值为0.7395。根据NTL的变化值,NTL损失较大的地区位于东南和西北方向距离震中50 km,西南方向距离震中130 km。NTL增加较大的区域分布在距离震中130 km的北偏西、北偏东方向,以及距离震中180 km的东北方向,显示出较高的恢复力和有效的地震救援能力。从LISA结果的低-高(L-H)模式可以看出,NTL损失大的地区人口和建筑密度大,特别是在西南偏南距离震中约130 km和西北偏北距离震中40 km以内的地区。我们的研究结果为评估自然灾害提供了见解,可以帮助决策者规划灾后重建并确定国家或地区范围内的风险水平。
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The Changes in Nighttime Lights Caused by the Turkey-Syria Earthquake Using NOAA-20 VIIRS Day/Night Band Data
The Turkey–Syria earthquake on 6 February 2023 resulted in losses such as casualties, road damage, and building collapses. We mapped and quantified the areas impacted by the earthquake at different distances and directions using NOAA-20 VIIRS nighttime light (NTL) data. We then explored the relationship between the average changes in the NTL intensity, population density, and building density using the bivariate local indicators of the spatial association (LISA) method. In Turkey, Hatay, Gaziantep, and Sanliurfa experienced the largest NTL losses. Ar Raqqah was the most affected city in Syria, with the highest NTL loss rate. A correlation analysis showed that the number of injured populations in the provinces in Turkey and the number of pixels with a decreased NTL intensity exhibited a linear correlation, with an R-squared value of 0.7395. Based on the changing value of the NTL, the areas with large NTL losses were located 50 km from the earthquake epicentre in the east-by-south and north-by-west directions and 130 km from the earthquake epicentre in the southwest direction. The large NTL increase areas were distributed 130 km from the earthquake epicentre in the north-by-west and north-by-east directions and 180 km from the earthquake epicentre in the northeast direction, indicating a high resilience and effective earthquake rescue. The areas with large NTL losses had large populations and building densities, particularly in the areas approximately 130 km from the earthquake epicentre in the south-by-west direction and within 40 km of the earthquake epicentre in the north-by-west direction, which can be seen from the low–high (L-H) pattern of the LISA results. Our findings provide insights for evaluating natural disasters and can help decision makers to plan post-disaster reconstruction and determine risk levels on a national or regional scale.
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