A Human Settlement Composite Index (HSCI) Derived from Nighttime Luminosity Associated with Imperviousness and Vegetation Indexes

doi:10.3390/rs10030455

	A Human Settlement Composite Index (HSCI) Derived from Nighttime Luminosity Associated with Imperviousness and Vegetation Indexes
	Ma, Ting 1,3,6; Xu, Tao 1,4; Huang, Lin 2,3; Zhou, Alicia 5
刊名	REMOTE SENSING
	2018-03-01
卷号	10 期号:3 页码:15
关键词	human settlement composite index DMSP nighttime light vegetation index impervious surface area
ISSN号	2072-4292
DOI	10.3390/rs10030455
通讯作者	Ma, Ting(mting@lreis.ac.cn) ; Huang, Lin(huanglin@radi.ac.cn)
英文摘要	Satellite-derived nighttime light data have been increasingly used for studying urbanization and socioeconomic dynamics, because there are notable quantitative relationships between anthropogenic nocturnal radiance and the degree of human activity over time and space at different scales. When considering the visible impacts of saturation and over-glow effects from original nighttime light images, several composite indexes, which mainly include the introduction of vegetation index, have been studied to improve the application of nighttime light data for investigating the spatial patterns in human settlements. To overcome the shortcomings of previous composite indexes, especially in areas of highly intensified human activity, such as urban, non-man-made surfaces, and low density human activity, such as in rural residential sites, we propose a new human settlement composite index (HSCI). The establishment of this proposed HSCI is based on a combination of three different remote sensing datasets: nighttime light brightness (derived from the Defense Meteorological Satellite Program, DMSP), the normalized difference vegetation index (NDVI, derived from the Moderate Resolution Imaging Spectroradiometer, MODIS), and the percent impervious surface area (PISA, derived from the GlobeLand30 land cover and land use dataset produced from Landsat data). We defined the calculation of HSCI as the arithmetic mean of the normalized difference urban index and normalized difference imperviousness index with respect to both the magnitude of socioeconomic activity and the distribution of artificial surface across human settlement, respectively. Analysis results clearly demonstrate the utility of HSCI in delineating spatial patterns for different kinds of human settlement, particularly for identifying non-man-made surfaces in urbanized areas, various densities of human activities in peripheral areas and small human settlements in rural and remote areas. Our method and findings provide an effective way to investigate human settlements with a nighttime brightness-based composite index, as well as valuable insights into further studies of the composite index related to nocturnal luminosity data.
资助项目	Key Research Program of Frontier Science, Chinese Academy of Sciences[QYZDY-SSW-DQC007] ; National Natural Science Foundation of China[41771418] ; National Natural Science Foundation of China[41421001] ; National Science and Technology Key Project[2016YFB0502301] ; National Key Basic Research Program of China[2015CB954101]
WOS关键词	ELECTRIC-POWER CONSUMPTION ; DMSP-OLS ; LIGHT DATA ; SATELLITE IMAGERY ; URBANIZATION DYNAMICS ; ECONOMIC-ACTIVITY ; URBAN AREAS ; CHINA ; COVER ; MODIS
WOS研究方向	Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000428280100101
资助机构	Key Research Program of Frontier Science, Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Science and Technology Key Project ; National Key Basic Research Program of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/54852]
专题	中国科学院地理科学与资源研究所
通讯作者	Ma, Ting; Huang, Lin
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100012, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.China Elect Technol Grp Corp, Informat Sci Acad, Beijing 100081, Peoples R China 5.Boston Univ, Coll Art & Sci, Dept Math & Stat, Boston, MA 02215 USA 6.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Ma, Ting,Xu, Tao,Huang, Lin,et al. A Human Settlement Composite Index (HSCI) Derived from Nighttime Luminosity Associated with Imperviousness and Vegetation Indexes[J]. REMOTE SENSING,2018,10(3):15.
APA	Ma, Ting,Xu, Tao,Huang, Lin,&Zhou, Alicia.(2018).A Human Settlement Composite Index (HSCI) Derived from Nighttime Luminosity Associated with Imperviousness and Vegetation Indexes.REMOTE SENSING,10(3),15.
MLA	Ma, Ting,et al."A Human Settlement Composite Index (HSCI) Derived from Nighttime Luminosity Associated with Imperviousness and Vegetation Indexes".REMOTE SENSING 10.3(2018):15.