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An Estimate of the Pixel-Level Connection between Visible Infrared Imaging Radiometer Suite Day/Night Band (VIIRS DNB) Nighttime Lights and Land Features across China
Ma, Ting1,2,3
2018-05-01
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume10Issue:5Pages:11
Corresponding AuthorMa, Ting(mting@lreis.ac.cn)
AbstractSatellite-derived nighttime light images are increasingly used for various studies in relation to demographic, socioeconomic and urbanization dynamics because of the salient relationships between anthropogenic lighting signals at night and statistical variables at multiple scales. Owing to a higher spatial resolution and fewer over-glow and saturation effects, the new generation of nighttime light data derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) day/night band (DNB), which is located on board the Suomi National Polar-Orbiting Partnership (Suomi-NPP) satellite, is expected to facilitate the performance of nocturnal luminosity-based investigations of human activity in a spatially explicit manner. In spite of the importance of the spatial connection between the VIIRS DNB nighttime light radiance (NTL) and the land surface type at a fine scale, the crucial role of NTL-based investigations of human settlements is not well understood. In this study, we investigated the pixel-level relationship between the VIIRS DNB-derived NTL, a Landsat-derived land-use/land-cover dataset, and the map of point of interest (POI) density over China, especially with respect to the identification of artificial surfaces in urban land. Our estimates suggest that notable differences in the NTL between urban (man-made) surfaces and other types of land surfaces likely allow us to spatially identify most of the urban pixels with relatively high radiance values in VIIRS DNB images. Our results also suggest that current nighttime light data have a limited capability for detecting rural residential areas and explaining pixel-level variations in the POI density at a large scale. Moreover, the impact of non-man-made surfaces on the partitioned results appears inevitable because of the spatial heterogeneity of human settlements and the nature of remotely sensed nighttime light data. Using receiver operating characteristic (ROC) curve-based analysis, we obtained optimal thresholds of the nighttime light radiance, by equally weighting the sensitivity and specificity of the identification results, for extracting the nationwide distribution of lighted urban man-made pixels from the 2015 annual composite of VIIRS DNB data. Our findings can provide the basic knowledge needed for the further application of current nighttime light data to investigate spatiotemporal patterns in human settlements.
Keywordnighttime light VIIRS DNB land-use land-cover artificial surfaces optimal threshold
DOI10.3390/rs10050723
WOS KeywordELECTRIC-POWER CONSUMPTION ; SATELLITE IMAGERY ; DMSP-OLS ; SOCIOECONOMIC ACTIVITY ; URBANIZATION DYNAMICS ; ECONOMIC-ACTIVITY ; POPULATION ; LUMINOSITY ; SCALES ; AREAS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41771418] ; National Natural Science Foundation of China[41421001] ; Key Research Program of Frontier Science, Chinese Academy of Sciences[QYZDY-SSW-DQC007] ; National Science and Technology Key Project[2016YFB0502301] ; National Key Basic Research Program of China[2015CB954101]
Funding OrganizationNational Natural Science Foundation of China ; Key Research Program of Frontier Science, Chinese Academy of Sciences ; National Science and Technology Key Project ; National Key Basic Research Program of China
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000435198400065
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54600
Collection中国科学院地理科学与资源研究所
Corresponding AuthorMa, Ting
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Ma, Ting. An Estimate of the Pixel-Level Connection between Visible Infrared Imaging Radiometer Suite Day/Night Band (VIIRS DNB) Nighttime Lights and Land Features across China[J]. REMOTE SENSING,2018,10(5):11.
APA Ma, Ting.(2018).An Estimate of the Pixel-Level Connection between Visible Infrared Imaging Radiometer Suite Day/Night Band (VIIRS DNB) Nighttime Lights and Land Features across China.REMOTE SENSING,10(5),11.
MLA Ma, Ting."An Estimate of the Pixel-Level Connection between Visible Infrared Imaging Radiometer Suite Day/Night Band (VIIRS DNB) Nighttime Lights and Land Features across China".REMOTE SENSING 10.5(2018):11.
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