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A Human Settlement Composite Index (HSCI) Derived from Nighttime Luminosity Associated with Imperviousness and Vegetation Indexes
Ma, Ting1,3,6; Xu, Tao1,4; Huang, Lin2,3; Zhou, Alicia5
2018-03-01
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume10Issue:3Pages:15
Corresponding AuthorMa, Ting(mting@lreis.ac.cn) ; Huang, Lin(huanglin@radi.ac.cn)
AbstractSatellite-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.
Keywordhuman settlement composite index DMSP nighttime light vegetation index impervious surface area
DOI10.3390/rs10030455
WOS KeywordELECTRIC-POWER CONSUMPTION ; DMSP-OLS ; LIGHT DATA ; SATELLITE IMAGERY ; URBANIZATION DYNAMICS ; ECONOMIC-ACTIVITY ; URBAN AREAS ; CHINA ; COVER ; MODIS
Indexed BySCI
Language英语
Funding ProjectKey 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]
Funding OrganizationKey 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
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000428280100101
PublisherMDPI
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54853
Collection中国科学院地理科学与资源研究所
Corresponding AuthorMa, Ting; Huang, Lin
Affiliation1.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
Recommended Citation
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.
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