{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T19:00:35Z","timestamp":1774378835919,"version":"3.50.1"},"reference-count":27,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2013,6,19]],"date-time":"2013-06-19T00:00:00Z","timestamp":1371600000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Historically, the Defense Meteorological Satellite Program\u2019s Operational Linescan System (DMSP-OLS) was the unique satellite sensor used to collect the nighttime light, which is an efficient means to map the global economic activities. Since it was launched in October 2011, the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor on the Suomi National Polar-orbiting Partnership (NPP) Satellite has become a new satellite used to monitor nighttime light. This study performed the first evaluation on the NPP-VIIRS nighttime light imagery in modeling economy, analyzing 31 provincial regions and 393 county regions in China. For each region, the total nighttime light (TNL) and gross regional product (GRP) around the year of 2010 were derived, and a linear regression model was applied on the data. Through the regression, the TNL from NPP-VIIRS were found to exhibit R2 values of 0.8699 and 0.8544 with the provincial GRP and county GRP, respectively, which are significantly stronger than the relationship between the TNL from DMSP-OLS (F16 and F18 satellites) and GRP. Using the regression models, the GRP was predicted from the TNL for each region, and we found that the NPP-VIIRS data is more predictable for the GRP than those of the DMSP-OLS data. This study demonstrates that the recently released NPP-VIIRS nighttime light imagery has a stronger capacity in modeling regional economy than those of the DMSP-OLS data. These findings provide a foundation to model the global and regional economy with the recently availability of the NPP-VIIRS data, especially in the regions where economic census data is difficult to access.<\/jats:p>","DOI":"10.3390\/rs5063057","type":"journal-article","created":{"date-parts":[[2013,6,19]],"date-time":"2013-06-19T12:17:30Z","timestamp":1371644250000},"page":"3057-3081","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":375,"title":["Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of China"],"prefix":"10.3390","volume":"5","author":[{"given":"Xi","family":"Li","sequence":"first","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"}]},{"given":"Huimin","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Economics, Zhongnan University of Economics and Law, Wuhan 430060, China"}]},{"given":"Xiaoling","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"}]},{"given":"Chang","family":"Li","sequence":"additional","affiliation":[{"name":"College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China"}]}],"member":"1968","published-online":{"date-parts":[[2013,6,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1257\/aer.101.3.194","article-title":"A bright idea for measuring economic growth","volume":"101","author":"Henderson","year":"2011","journal-title":"Am. Econ. Rev"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"8589","DOI":"10.1073\/pnas.1017031108","article-title":"Using luminosity data as a proxy for economic statistics","volume":"108","author":"Chen","year":"2011","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.jue.2006.12.006","article-title":"Growth, population and industrialization, and urban land expansion of China","volume":"63","author":"Deng","year":"2008","journal-title":"J. Urban Econ"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1007\/s10661-009-1060-0","article-title":"Land use patterns and urbanization in the holy city of Varanasi, India: A scenario","volume":"167","author":"Kumar","year":"2010","journal-title":"Environ. Monit. Assess"},{"key":"ref_5","first-page":"148","article-title":"Shedding light on the global distribution of economic activity","volume":"3","author":"Ghosh","year":"2010","journal-title":"Open Geogr. J"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1625","DOI":"10.3390\/rs2071625","article-title":"Global patterns of cropland use intensity","volume":"2","author":"Siebert","year":"2010","journal-title":"Remote Sens"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/S0378-3774(00)00080-9","article-title":"Remote sensing for irrigated agriculture: Examples from research and possible applications","volume":"46","author":"Bastiaanssen","year":"2000","journal-title":"Agric. Water Manag"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"621","DOI":"10.3390\/rs3030621","article-title":"Airborne remote sensing of a biological hot spot in the Southeastern Bering Sea","volume":"3","author":"Churnside","year":"2011","journal-title":"Remote Sens"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"460","DOI":"10.3390\/rs3030460","article-title":"Mapping fish community variables by integrating field and satellite data, object-based image analysis and modeling in a traditional Fijian fisheries management area","volume":"3","author":"Knudby","year":"2011","journal-title":"Remote Sens"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2014","DOI":"10.3390\/rs5042014","article-title":"Characterization of canopy layering in forested ecosystems using full waveform Lidar","volume":"5","author":"Whitehurst","year":"2013","journal-title":"Remote Sens"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.ecolecon.2005.03.007","article-title":"Mapping regional economic activity from night-time light satellite imagery","volume":"57","author":"Doll","year":"2006","journal-title":"Ecol. Econ"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1373","DOI":"10.1080\/014311697218485","article-title":"Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption","volume":"18","author":"Elvidge","year":"1997","journal-title":"Int. J. Remote Sens"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1253","DOI":"10.1016\/j.asr.2012.01.025","article-title":"Poverty assessment using DMSP\/OLS night-time light satellite imagery at a provincial scale in China","volume":"49","author":"Wang","year":"2012","journal-title":"Adv. Space Res"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"418","DOI":"10.3390\/rs1030418","article-title":"Estimation of Mexico\u2019s informal economy and remittances using Nighttime Imagery","volume":"1","author":"Ghosh","year":"2009","journal-title":"Remote Sens"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1109\/JSTARS.2010.2053022","article-title":"A comparison of high and low gain DMSP\/OLS satellite images for the study of socio-economic metrics","volume":"4","author":"Roychowdhury","year":"2011","journal-title":"IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"538","DOI":"10.2747\/1548-1603.49.4.538","article-title":"Assessing Satellite-observed nighttime lights for monitoring socioeconomic parameters in the Republic of Kazakhstan","volume":"49","author":"Propastin","year":"2012","journal-title":"GISci. Remote Sens"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.rse.2012.04.018","article-title":"Quantitative estimation of urbanization dynamics using time series of DMSP\/OLS nighttime light data: A comparative case study from China\u2019s cities","volume":"124","author":"Ma","year":"2012","journal-title":"Remote Sens. Environ"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.rse.2012.08.008","article-title":"Aerial survey and spatial analysis of sources of light pollution in Berlin, Germany","volume":"126","author":"Kuechly","year":"2012","journal-title":"Remote Sens. Environ"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2011.12.005","article-title":"High spatial resolution night-time light images for demographic and socio-economic studies","volume":"119","author":"Levin","year":"2012","journal-title":"Remote Sens. Environ"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1109\/TGRS.2011.2178031","article-title":"A saturated light correction method for DMSP\/OLS nighttime satellite imagery","volume":"50","author":"Letu","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"3668","DOI":"10.1016\/j.rse.2008.05.009","article-title":"Regional mapping of human settlements in southeastern China with multisensor remotely sensed data","volume":"112","author":"Lu","year":"2008","journal-title":"Remote Sens. Environ"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2320","DOI":"10.1016\/j.rse.2011.04.032","article-title":"Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP\/OLS nighttime light data","volume":"115","author":"Zhang","year":"2011","journal-title":"Remote Sens. Environ"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.rse.2012.10.022","article-title":"The vegetation adjusted NTL urban index: A new approach to reduce saturation and increase variation in nighttime luminosity","volume":"129","author":"Zhang","year":"2013","journal-title":"Remote Sens. Environ"},{"key":"ref_24","unstructured":"National Bureau of Statistics of China (2010\u20132011). Urban Statistical Yearbook of China 2009\u20132010, China Statistical Press."},{"key":"ref_25","unstructured":"National Bureau of Statistics of China (2010\u20132011). China Statistical Yearbook for Regional Economy 2009\u20132010, China Statistical Press."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"4443","DOI":"10.1080\/01431160903277464","article-title":"Estimating energy consumption from night-time DMPS\/OLS imagery after correcting for saturation effects","volume":"31","author":"Letu","year":"2010","journal-title":"Int. J. Remote Sens"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"2645","DOI":"10.1080\/01431160600981525","article-title":"The Nightsat mission concept","volume":"28","author":"Elvidge","year":"2007","journal-title":"Int. J. Remote Sens"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/5\/6\/3057\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:47:26Z","timestamp":1760219246000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/5\/6\/3057"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,6,19]]},"references-count":27,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2013,6]]}},"alternative-id":["rs5063057"],"URL":"https:\/\/doi.org\/10.3390\/rs5063057","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,6,19]]}}}