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Article: A harmonized global nighttime light dataset 1992–2018

TitleA harmonized global nighttime light dataset 1992–2018
Authors
Issue Date2020
Citation
Scientific Data, 2020, v. 7, n. 1, article no. 168 How to Cite?
AbstractNighttime light (NTL) data from the Defense Meteorological Satellite Program (DMSP)/Operational Linescan System (OLS) and the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar-orbiting Partnership satellite provide a great opportunity for monitoring human activities from regional to global scales. Despite the valuable records of nightscape from DMSP (1992–2013) and VIIRS (2012–2018), the potential of the historical archive of NTL observations has not been fully explored because of the severe inconsistency between DMSP and VIIRS. In this study, we generated an integrated and consistent NTL dataset at the global scale by harmonizing the inter-calibrated NTL observations from the DMSP data and the simulated DMSP-like NTL observations from the VIIRS data. The generated global DMSP NTL time-series data (1992–2018) show consistent temporal trends. This temporally extended DMSP NTL dataset provides valuable support for various studies related to human activities such as electricity consumption and urban extent dynamics.
Persistent Identifierhttp://hdl.handle.net/10722/329630

 

DC FieldValueLanguage
dc.contributor.authorLi, Xuecao-
dc.contributor.authorZhou, Yuyu-
dc.contributor.authorZhao, Min-
dc.contributor.authorZhao, Xia-
dc.date.accessioned2023-08-09T03:34:10Z-
dc.date.available2023-08-09T03:34:10Z-
dc.date.issued2020-
dc.identifier.citationScientific Data, 2020, v. 7, n. 1, article no. 168-
dc.identifier.urihttp://hdl.handle.net/10722/329630-
dc.description.abstractNighttime light (NTL) data from the Defense Meteorological Satellite Program (DMSP)/Operational Linescan System (OLS) and the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar-orbiting Partnership satellite provide a great opportunity for monitoring human activities from regional to global scales. Despite the valuable records of nightscape from DMSP (1992–2013) and VIIRS (2012–2018), the potential of the historical archive of NTL observations has not been fully explored because of the severe inconsistency between DMSP and VIIRS. In this study, we generated an integrated and consistent NTL dataset at the global scale by harmonizing the inter-calibrated NTL observations from the DMSP data and the simulated DMSP-like NTL observations from the VIIRS data. The generated global DMSP NTL time-series data (1992–2018) show consistent temporal trends. This temporally extended DMSP NTL dataset provides valuable support for various studies related to human activities such as electricity consumption and urban extent dynamics.-
dc.languageeng-
dc.relation.ispartofScientific Data-
dc.titleA harmonized global nighttime light dataset 1992–2018-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1038/s41597-020-0510-y-
dc.identifier.pmid32499523-
dc.identifier.scopuseid_2-s2.0-85085983417-
dc.identifier.volume7-
dc.identifier.issue1-
dc.identifier.spagearticle no. 168-
dc.identifier.epagearticle no. 168-
dc.identifier.eissn2052-4463-

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