中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Monitoring Urban Dynamics in the Southeast USA Using Time-Series DMSP/OLS Nightlight Imagery

文献类型:期刊论文

作者Li, Qingting1; Lu, Linlin1; Weng, Qihao1; Xie, Yanhua1; Guo, Huadong1
刊名REMOTE SENSING
出版日期2016
卷号8期号:7
关键词DIFFERENTIAL SAR INTERFEROGRAMS RADAR INTERFEROMETRY DEFORMATION ALGORITHM ROME INSTABILITY CITY
通讯作者Lu, LL (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.
英文摘要The Defense Meteorological Satellite Program (DMSP)'s Operational Line-scan System (OLS) stable nighttime light (NTL) imagery offers a good opportunity for characterizing the extent and dynamics of urban development at the global and regional scales. However, their ability to characterize intra-urban variation is limited due to saturation and blooming of the data values. In this study, we adopted the methods of Mann-Kendall and linear regression to analyze urban dynamics from time series Vegetation Adjusted NTL Urban Index (VANUI) data from 1992 to 2013 in the Southeast United States of America (U.S.A.), which is one of the fastest growing regions in the nation. The newly built urban areas were effectively detected based on the trend analysis. In addition, the VANUI-derived urban areas with an optimal threshold method were found highly consistent with the Landsat-derived National Land Cover Database. The total urbanized areas in large metropolitan areas in southeastern U.S.A. increased from 8524 km(2) in 1992 to 14,684 km(2) in 2010, accounting for 5% and 9% of the total area, respectively. The results further showed that urban expansion in the region cannot be purely explained by population growth. Our results suggested that the VANUI time series provided an effective method for characterizing the spatiotemporal dynamics of urban extent at the regional scale.
学科主题Remote Sensing
类目[WOS]Remote Sensing
收录类别SCI
语种英语
WOS记录号WOS:000382224800048
源URL[http://ir.radi.ac.cn/handle/183411/39235]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
2.Indiana State Univ, Dept Earth & Environm Syst, Ctr Urban & Environm Change, Terre Haute, IN 47809 USA
推荐引用方式
GB/T 7714
Li, Qingting,Lu, Linlin,Weng, Qihao,et al. Monitoring Urban Dynamics in the Southeast USA Using Time-Series DMSP/OLS Nightlight Imagery[J]. REMOTE SENSING,2016,8(7).
APA Li, Qingting,Lu, Linlin,Weng, Qihao,Xie, Yanhua,&Guo, Huadong.(2016).Monitoring Urban Dynamics in the Southeast USA Using Time-Series DMSP/OLS Nightlight Imagery.REMOTE SENSING,8(7).
MLA Li, Qingting,et al."Monitoring Urban Dynamics in the Southeast USA Using Time-Series DMSP/OLS Nightlight Imagery".REMOTE SENSING 8.7(2016).

入库方式: OAI收割

来源:遥感与数字地球研究所

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