| 基于逐日夜间灯光遥感的新冠肺炎疫情变化信息快速提取——以北京市为例 |
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| 引用本文： | 江泽霖,邓健,栾海军,李兰晖.基于逐日夜间灯光遥感的新冠肺炎疫情变化信息快速提取——以北京市为例[J].测绘通报,2022,0(7):43-48. |
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| 作者姓名： | 江泽霖 邓健 栾海军 李兰晖 |
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| 作者单位： | 1. 厦门理工学院计算机与信息工程学院, 福建 厦门 361024;2. 数字福建自然灾害监测大数据研究所, 福建 厦门 361024 |
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| 基金项目： | 福建省自然科学基金(2020J01261);福建省自然科学基金面上项目(2019J01852) |
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| 摘 要： | 针对国内外日益复杂的疫情形势,本文以2020年6月北京疫情为例,利用NPP-VIIRS卫星的逐日夜间灯光数据,分析疫情受影响区域及疫情的控制与恢复状况,探索与人口密度等社会经济因素的关系。研究结果表明,逐日夜间灯光遥感可以有效提取疫情影响的区域范围及反映该区域受影响程度,所提取的受影响区域与国家划定的中高风险区域情况一致;同时基于逐日夜间灯光遥感能够及时监测疫情发展及疫情防控措施状况,区域夜间灯光强度随着疫情及防控的进展呈现明显的变化;平均夜间灯光损失强度及恢复强度同疫情暴发期区域人口密度均具有较强的相关性,相关性指标R2分别为0.97和0.91。本文研究结果表明逐日夜间灯光影像在快速提取新冠肺炎疫情变化信息方面有较大潜力。
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| 关 键 词： | NPP-VIIRS DNB 夜间灯光遥感 辐射归一化 灯光指数 疫情分析 |
| 收稿时间： | 2022-03-22 |
| 修稿时间： | 2022-05-24 |
Rapid extraction of COVID-19 information based on nighttime light remote sensing: a case study of Beijing |
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| JIANG Zelin,DENG Jian,LUAN Haijun,LI Lanhui.Rapid extraction of COVID-19 information based on nighttime light remote sensing: a case study of Beijing[J].Bulletin of Surveying and Mapping,2022,0(7):43-48. |
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| Authors: | JIANG Zelin DENG Jian LUAN Haijun LI Lanhui |
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| Institution: | 1. College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China;2. Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen 361024, China |
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| Abstract: | In response to the increasingly complex epidemic situation at home and abroad, this paper takes the Beijing epidemic in June 2020 as an example, use the day-by-day luminous data of NPP-VIIRS satellite to analyze the affected areas of the epidemic and the status of epidemic control and recovery, and to explore the relationship with social and economic factors such as population density. The research results show that day-by-day luminous remote sensing can effectively extract the area affected by the epidemic and reflect the degree of impact of the area. The extracted affected area is consistent with the medium and high risk areas designated by the country; At the same time, It can timely monitor the development of the epidemic and the status of epidemic prevention and control measures, the intensity of regional luminous has changed significantly with the progress of the epidemic and prevention and control; The average light loss and recovery intensity have a strong correlation with the regional population density during the outbreak period, and the correlation index R2 is 0.97 and 0.91 respectively. The results of this study show that day-by-day luminous imaging has great potential in quickly extracting information on changes in the new crown pneumonia epidemic. |
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| Keywords: | NPP-VIIRS DNB nighttime light remote sensing radiation normalization light index epidemic analysis |
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