Quantitative Association between Nighttime Lights and Geo-Tagged Human Activity Dynamics during Typhoon Mangkhut
文献类型：期刊论文
| 作者 | Liu, Zhang1,2; Du, Yunyan1,2 ; Yi, Jiawei1,2; Liang, Fuyuan3; Ma, Ting1,2; Pei, Tao1,2
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| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2019-09-01 |
| 卷号 | 11期号:18页码:21 |
| 关键词 | NPP-VIIRS DNB social media natural disaster typhoon damage assessment |
| DOI | 10.3390/rs11182091 |
| 通讯作者 | Du, Yunyan(duyy@lreis.ac.cn) |
| 英文摘要 | The daily nighttime lights (NTL) and the amount of location-service requests (NLR) data have been widely used as a proxy for measures of disaster-induced power outages and geo-tagged human activity dynamics. However, the association between the two datasets is not well understood. In this study, we investigated how the NTL signals and geo-tagged human activities changed in response to Typhoon Mangkhut. The confusion matrix is constructed to quantify the changes of the NLR in response to Typhoon Mangkhut, as well as the changes of the NTL signals at the grid level. Geographically-weighted regression and quantile regression were used to examine the associations between the changes of the NTL and the NLR at both grid and county levels. The quantile regressions were also used to quantify the relationships between the dimmed NTL signals and the change of the NLR in disaster damage estimates at the county level. Results show that the percent of the grids with anomalous human activities is significantly correlated with the nearby air pressure and wind speed. Geo-tagged human activities varied in response to the evolution of Mangkhut with significant areal differentiation. Over 69.3% of the grids with significant human activity change is also characterized by declined NTL brightness, which is closely associated with abnormal human activities. Significant log-linear and moderate positive correlations were found between the changes of the NTL and NLR at both the grid and county levels, as well as between the county-level changes of NLR/NTL and the damage estimates. This study shows the geo-tagged human activities are closely associated with the changes of the daily NTL signals in response to Typhoon Mangkhut. The two datasets are complimentary in sensing the typhoon-induced losses and damages. |
| WOS关键词 | SOCIAL MEDIA ; DAMAGE ASSESSMENT ; AREAS |
| 资助项目 | National Key Research and Development Program[2017YFB0503605] ; National Key R&D Program of China[2017YFC1503003] ; Key Research Program of Frontier Science, Chinese Academy of Sciences[QYZDY-SSW-DQC007] ; Innovation Program of State Key Laboratory of Resources and Environmental Information System, Chinese Academy of Sciences[088RA500PA] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000489101500021 |
| 资助机构 | National Key Research and Development Program ; National Key R&D Program of China ; Key Research Program of Frontier Science, Chinese Academy of Sciences ; Innovation Program of State Key Laboratory of Resources and Environmental Information System, Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/129732]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Du, Yunyan |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Western Illinois Univ, Dept Earth Atmospher & Geog Informat Sci, Macomb, IL 61455 USA |
| 推荐引用方式 GB/T 7714 | Liu, Zhang,Du, Yunyan,Yi, Jiawei,et al. Quantitative Association between Nighttime Lights and Geo-Tagged Human Activity Dynamics during Typhoon Mangkhut[J]. REMOTE SENSING,2019,11(18):21. |
| APA | Liu, Zhang,Du, Yunyan,Yi, Jiawei,Liang, Fuyuan,Ma, Ting,&Pei, Tao.(2019).Quantitative Association between Nighttime Lights and Geo-Tagged Human Activity Dynamics during Typhoon Mangkhut.REMOTE SENSING,11(18),21. |
| MLA | Liu, Zhang,et al."Quantitative Association between Nighttime Lights and Geo-Tagged Human Activity Dynamics during Typhoon Mangkhut".REMOTE SENSING 11.18(2019):21. |
入库方式： OAI收割
来源：地理科学与资源研究所
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