中国科学院机构知识库网格系统: A global analysis of factors controlling VIIRS nighttime light levels from densely populated areas.

中国科学院机构知识库网格

Chinese Academy of Sciences Institutional Repositories Grid

A global analysis of factors controlling VIIRS nighttime light levels from densely populated areas.

文献类型：期刊论文


作者	Levin, Noam; Zhang, Qingling
刊名	REMOTE SENSING OF ENVIRONMENT
出版日期	2017
文献子类	期刊论文
英文摘要	Remote sensing of nighttime lights has been shown as a good surrogate for estimating population and economic activity at national and sub-national scales, using DMSP satellites. However, few studies have examined the factors explaining differences in nighttime brightness of cities at a global scale. In this study, we derived quantitative estimates of nighttime lights with the new VIIRS sensor onboard the Suomi NPP satellite in January 2014 and in July 2014, with two variables: mean brightness and percent lit area. We performed a global analysis of all densely populated areas (n = 4153, mostly corresponding to metropolitan areas), which we defined using high spatial resolution Landscan population data. National GDP per capita was better in explaining nighttime brightness levels (0.60 < Rs < 0.70) than GDP density at a spatial resolution of 0.25 degrees (0.25 < Rs < 0.43), or than a city-level measure of GDP per capita (in proportion to each city's fraction of the national population: 0.49 < Rs < 0.62). We found that in addition to GDP per capita, the nighttime brightness of densely populated areas was positively correlated with MODIS derived percent urban area (0.46 < Rs < 0.60), the density of the road network (0.51 < Rs < 0.67), and with latitude (0.31 45% of the variability in cities' nighttime brightness, when both physical and socio-economic variables were included. Within the generalized linear model, the percent of national GDP derived from income (rents) from natural gas and oil, was also found as one of the statistically significant variables. Our findings show that cities' nighttime brightness can change with the seasons as a function of vegetation and snow cover, two variables affecting surface albedo. Explaining cities' nighttime brightness is therefore affected not only by country level factors (such as GDP), but also by the built environment and by climatic factors. (C) 2017 Elsevier Inc. All rights reserved.
URL标识	查看原文
语种	英语
源URL	[http://ir.siat.ac.cn:8080/handle/172644/12496]
专题	深圳先进技术研究院_数字所
作者单位	REMOTE SENSING OF ENVIRONMENT
推荐引用方式 GB/T 7714	Levin, Noam,Zhang, Qingling. A global analysis of factors controlling VIIRS nighttime light levels from densely populated areas.[J]. REMOTE SENSING OF ENVIRONMENT,2017.
APA	Levin, Noam,&Zhang, Qingling.(2017).A global analysis of factors controlling VIIRS nighttime light levels from densely populated areas..REMOTE SENSING OF ENVIRONMENT.
MLA	Levin, Noam,et al."A global analysis of factors controlling VIIRS nighttime light levels from densely populated areas.".REMOTE SENSING OF ENVIRONMENT (2017).

入库方式： OAI收割

来源：深圳先进技术研究院

浏览0

下载0

收藏0

其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。