DU Ruohua,LIU Leizhen,SHEN Qiu,et al.Dynamic monitoring for post-disaster recovery and reconstruction based on night light data——A case study on Ludian earthquake[J].,2020,29(06):059-69.[doi:10.13577/j.jnd.2020.0607]





Dynamic monitoring for post-disaster recovery and reconstruction based on night light data——A case study on Ludian earthquake
杜若华123 刘雷震123 沈秋3 田丰3 陈梦3 武建军123
1. 遥感科学国家重点实验室, 北京师范大学 地理科学学部, 北京 100875;
2. 环境遥感与数字城市北京市重点实验室, 北京师范大学 地理科学学部, 北京 100875;
3. 北京师范大学 地理科学学部, 北京 100875
DU Ruohua123 LIU Leizhen123 SHEN Qiu3 TIAN Feng3 CHEN Meng3 WU Jianjun123
1. State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China;
2. Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Faculty of Geographical Science, Bejing Normal University, Beijing 100875, China;
3. Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
night lightsremote sensingrestoration and reconstructionhuman activitiesLudian Earthquake
持续监测与评估地震灾后影响及恢复重建过程,对地震灾害恢复决策和御灾减灾措施的制定具有重要的科学指导意义。本文以2014年8月鲁甸地震为例,基于2013-2019年NPP/VⅡRS(National Polar-Orbiting Partnership’s Visible Infrared Imaging Radiometer Suite)夜间灯光月数据及社会经济统计等数据,分析了灾区夜间灯光数据时空变化特征,探讨了灾区夜间灯光数据对恢复重建过程的响应。结果表明:夜间灯光数据可以精细监测城镇化水平低、居住分散且规模小的区域内部的灾后恢复重建过程,可以实现灾后临时安置点建设、房屋恢复重建、基础设施建设等过程监测;灾区灯光强度与区域生产力变化趋势较为一致,能在一定程度上体现经济活动的变化。
The impacts and reconstruction process for post-earthquake need to be monitored continuously and assessed quantitively, which is of great significance to the reconstruction decision of post-earthquake, and produces an important scientific guiding meaning for the formulation of disaster prevention and mitigation measures. In this study, Ludian Earthquake in August 2014 was set as an example, the spatiotemporal changes of night lights in the affected area was analyzed based on the data of local socioeconomic statistics yearbook and NPP/VⅡRS(National Polar-Orbiting Partnership’s Visible Infrared Imaging Radiometer Suite)night light dataset, the night light data with a temporal resolution of monthly, and its response to the reconstruction process was also explored subsequently. Results showed that Night Light data could accurately detect the post-disaster recovery and reconstruction process in the areas where urbanization level was low, and living was scattered with a small scale. And it could be applied effectively to monitor the process of post-disaster temporary settlement, and the reconstruction of house and infrastructure, etc. In addition, Night Light index in the affected area was consistent with the change trend of regional productivity, which further revealed that it could reflect the economic activities of post-earthquake to a certain extent.


[1] Fan X, Nie G, Deng Y, et al. Rapid detection of earthquake damage areas using VⅡRS nearly constant contrast night-time light data[J]. International Journal of Remote Sensing, 2019, 40(5-6):2386-2409.
[2] 崔燕, 聂娟. 卫星遥感在大灾恢复重建中的应用[J]. 城市与减灾, 2018(6):15. CUI Yan, NIE Juan. The application of satellite remote sensing in disaster recovery and reconstruction[J]. City And Disaster Reduction, 2018(6):15. (in Chinese)
[3] Contreras D, Blaschke T, Tiede D, et al. Monitoring recovery after earthquakes through the integration of remote sensing, GIS, and ground observations:the case of L’Aquila (Italy)[J]. Cartography and Geographic Information Science, 2016, 43(2):115-133.
[4] Liu J, Lu D, Wang Y, et al. A measurement framework of community recovery to earthquake:a Wenchuan Earthquake case study[J]. Journal of Housing and the Built Environment, 2018, 33(4):877-892.
[5] 王阳.监测重大自然灾害恢复重建[J].中国测绘,2018(4):56. WANG Yang. Monitoring the restoration and reconstruction of major natural disasters[J]. China Surveying And Mapping, 2018(4):56. (in Chinese)
[6] 柳稼航, 杨建峰, 魏成阶, 等. 震害信息遥感获取技术历史, 现状和趋势[J]. 自然灾害学报, 2004, 13(6):46-52. LIU Jiahang, YANG Jianfeng, WEI Chengjie,et al. Acquisition of earthquake damage information based on remote sensing technology:history, currentsituation and trend[J]. Journal of Natural Disasters, 2004, 13(6):46-52. (in Chinese)
[7] Xu M, He C, Liu Z, et al. How did urban land expand in China between 1992 and 2015? A multi-scale landscape analysis[J]. PloS one, 2016, 11(5):e0154839.
[8] 张宝军. 2003-2013年汶川地震极重灾区夜间灯光年际变化分析[J]. 灾害学, 2018,33(1):12-18. ZHANG Baojun. Analysis of the inter-annual variation of nighttime lights in the most affected area of Wenchuan Earthquake from 2003 to 2013[J]. Journal of Catastrophology, 2018,33(1):12-18. (in Chinese)
[9] Li X, Zhan C, Tao J, et al. Long-term monitoring of the impacts of disaster on human activity using dmsp/ols nighttime light data:A case study of the 2008 Wenchuan, china earthquake[J]. Remote Sensing, 2018, 10(4):588.
[10] Gillespie T W, Frankenberg E, Fung Chum K, et al. Night-time lights time series of tsunami damage, recovery, and economic metrics in Sumatra, Indonesia[J]. Remote Sensing Letters, 2014, 5(3):286-294.
[11] Wang J, Zhang J, Gong L, et al. Indirect seismic economic loss assessment and recovery evaluation using nighttime light images-application for Wenchuan earthquake[J]. Natural Hazards and Earth System Sciences, 2018, 18(12):3253-3266.
[12] 孙鸿烈, 郑度, 姚檀栋, 等. 青藏高原国家生态安全屏障保护与建设[J]. 地理学报, 2012, 67(1):3-12. SUN Honglie, ZHENG Du, YAO Tandong, et al. Protection and construction of the national ecological Security shelter zone on Tibetan plateau[J]. Acta Geographica Sinica, 2012, 67(1):3-12. (in Chinese)
[13] 樊杰, 王传胜, 汤青, 等. 鲁甸地震灾后重建的综合地理分析与对策研讨[J]. 地理科学进展, 2014, 33(8):1011-1018. FAN Jie, WANG Chuansheng, TANG Qing, et al. Comprehensive geographic analysis and discussion on strategies for post-earthquake recovery and reconstruction in Ludian, Yunnan province[J]. Progress in Geography, 2014, 33(8):1011-1018. (in Chinese)
[14] Du Y, Wang C, Zhao H, et al. Functional regionalization with the restriction of ecological shelter zones[J]. Journal of Geographical Sciences, 2007, 17(3):365-374.
[15] Elvidge C D, Baugh K E, Zhizhin M, et al. Why VⅡRS data are superior to DMSP for mapping nighttime lights[J]. Proceedings of the Asia-Pacific Advanced Network, 2013, 35:62-69.
[16] 陈颖彪, 郑子豪, 吴志峰, 等. 夜间灯光遥感数据应用综述和展望[J]. 地理科学进展, 2019, 38(2):205-223. CHEN Yingbiao, ZHENG Zihao, WU Zhifeng, et al. Review and prospect of application of nighttime light remote sensing data[J]. Progress in Geography, 2019, 38(2):205-223. (in Chinese)
[17] Levin N. The impact of seasonal changes on observed nighttime brightness from 2014 to 2015 monthly VⅡRS DNB composites[J]. Remote Sensing of Environment, 2017, 193:150-164.
[18] Li X, Liu S, Jendryke M, et al. Night-time light dynamics during the iraqi civil war[J]. Remote Sensing, 2018, 10(6):858.
[19] 邹绍辉, 张甜, 闫晓霞. 基于HP滤波法的国内碳价波动规律及区域特征[J]. 山东大学学报(理学版), 2019, 54(5):77-87. ZOU Shaohui, ZHANG Tian, YAN Xiaoxia. Domestic carbon price fluctuation and regional characteristics based on H-P filtering method[J]. Journal of Shandong University(Natural Science), 2019, 54(5):77-87.(in Chinese)
[20] Liu Z, He C, Zhang Q, et al. Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008[J]. Landscape and Urban Planning, 2012, 106(1):62-72.
[21] 程希萌, 沈占锋, 邢廷炎, 等. 基于高分遥感影像的地震受灾建筑物提取与倒损情况快速评估[J]. 自然灾害学报, 2016, 25(3):22-31. CHENG Ximeng, SHEN Zhanfeng, XING Tingyan, et al. Damaged building extraction and rapid assessment for earthquake disasters based on high-resolution remote sensing images[J]. Journal of Natural Disasters, 2016, 25(3):22-31. (in Chinese)
[22] 张涛, 薄涛, 赖俊彦, 等. 中日地震恢复重建对比研究[J]. 自然灾害学报, 2014, 23(4):1-12. ZHANG Tao, BO Tao, LAI Junyan, et al. Comparative study of earthquake recovery and reconstruction between China and Japan[J]. Journal of Natural Disasters, 2014, 23(4):1-12. (in Chinese)
[23] 吴吉东, 李宁, 周扬, 等. 灾害恢复度量框架——Katrina飓风灾后恢复应用案例[J]. 自然灾害学报, 2013, 22(4):58-64. WU Jidong, LI Ning, ZHOU Yang, et al. Disaster recovery measurement framework:an application case of disaster recovery after hurricane Katrina[J]. Journal of Natural Disasters, 2013, 22(4):58-64. (in Chinese)
[24] Yu B, Shi K, Hu Y, et al. Poverty evaluation using NPP-VⅡRS nighttime light composite data at the county level in China[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(3):1217-1229.
[25] 赵进文. 异常值对计量建模影响的典型案例[J]. 统计研究, 2010, 27(12):92-98. ZHAO Jinwen. Typical cases of the influence of outliers on metrological modeling[J]. Statistical Research, 2010, 27(12):92-98. (in Chinese)
[26] 王贤彬, 黄亮雄. 夜间灯光数据及其在经济学研究中的应用[J]. 经济学动态, 2018(10):75-87. WANG Xianbin, HUANG Liangxiong. Satellite-recorded nighttime lights data and its application in economics research[J]. Economic Perspectives, 2018(10):75-87. (in Chinese)


 CHANG Yu,CHEN Hongwei,HU Yuanman,et al.Advances in the assessment of forest fire severity and its spatial heterogeneity[J].,2012,21(06):028.
 HUANG Yaohuan,JIANG Dong,ZHUANG Dafang,et al.Research on remote sensing estimation of chlorophyll concentration in water body of Tangxun Lake[J].,2012,21(06):215.
 YUE Shu-ping,YAN Ye-chao,ZHANG Shu-wen.Spatiotemporal differentiation of ecological sustainability in Northeast China transect in recent 30 years[J].,2010,19(06):031.
 SONG Guo-li,ZANG Shu-ying,ZHONG Ting-ting.Ecological risk of land-use in Yueqing Bay in Wenzhou:an analysis based on RS and GIS[J].,2010,19(06):076.
 LI Lei,HUANG Mei,LIU Zheng-jia,et al.RS & GIS-based evaluation of landslide hazard in Bijie Prefecture,Guizhou Province[J].,2011,20(06):177.
 GUO Jie,LI Guo-ping,HUANG Wen-shi.Preliminary analysis of relationship between GPS-based precipitable water vapor and weather with dense fog[J].,2011,20(06):142.
 NAN Ying,LIU Zhi-feng,ZHU Wei-hong,et al.Range of typhoon-stricken area and trend of vagetation restoration in Changbai Mountain:RS-based research[J].,2011,20(06):131.
 CHEN Xiaomin,CHEN Huilin,TAO Zhongliang.A preliminary study on remote sensing monitoring of rubber tree cold injury in Hainan Province during early 2008[J].,2013,22(06):024.
 HU Zhuowei,WANG Zhiheng,WEI Lai,et al.Road flooding information extraction based on mixed programming of remote sensing and geographic information system[J].,2013,22(06):094.
 GUO Hong,GONG Wen-feng,LI Yan,et al.Relationship between heat island effect and vegetation in Harbin City:RS and GIS based quantitative study[J].,2007,16(06):022.


更新日期/Last Update: 1900-01-01