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李熙--Quantifying Contribution of Land Use Types to Nighttime Light Using....

发布日期:2014-08-21 10:50:59 阅读次数:[5797]次 作者:

核心提示:李熙--Quantifying Contribution of Land Use Types to Nighttime Light Using....


标题:Quantifying Contribution of Land Use Types to Nighttime Light Using an Unmixing Model
作者:Li, X (Li, Xi); Ge, LL (Ge, Linlin); Chen, XL (Chen, Xiaoling)
来源出版物:IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 卷:11 期:10 页:1667-1671DOI:10.1109/LGRS.2014.2304496 出版年:OCT 2014
Web of Science 核心合集中的 "被引频次":0
被引频次合计:0
摘要:In this study, a model is developed to quantify the land use contribution to nighttime light using coarse-resolution nighttime light imagery and fine-resolution land use data. We assumed that the nighttime light of a region can be represented by a linear combination of land use areas, with its nighttime light intensity (NLI) as coefficient. Based on an unmixing strategy, the NLI of each land use type was estimated. The Berlin City and MA State were used as study areas. For the Berlin City, we made use of nighttime light imagery from the Suomi National Polar-orbiting Partnership and the land use maps with 52 classes as data sets for analysis, and we used a nighttime aerial photograph to derive reference data. For the MA State, we made use of nighttime light imagery from the Defense Meteorological Satellite Program's Operational Linescan System and the land use maps with 33 classes as data sets for analysis, and we used a nighttime photograph from the International Space Station to derive reference data. The reference NLI data were correlated with the estimated NLI data, and the R2 values of Berlin and Massachusetts were 0.7277 and 0.7982, respectively, proving that the proposed model is effective.
地址:[Li, Xi; Chen, Xiaoling] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.
[Ge, Linlin] Univ New S Wales, Sch Civil & Environm Engn, Sydney, NSW 2052, Australia.
通讯作者地址:Chen, XL (通讯作者),Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.
电子邮件地址:li_rs@163.com; l.ge@unsw.edu.au; Xiaoling_Chen@whu.edu.cn


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