A harmonized global nighttime light dataset 1992–2018

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Abstract

Nighttime 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.

Abstract

Measurement(s)	nighttime light • light
Technology Type(s)	satellite imaging • Visible Infrared Imaging Radiometer Suite
Factor Type(s)	year of data collection • spatial resolution
Sample Characteristic - Environment	city
Sample Characteristic - Location	Earth (planet)

Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12312125

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Author and article information

Contributors

Yuyu Zhou:

ORCID: http://orcid.org/0000-0003-1765-6789

yuyuzhou@iastate.edu

Journal

Journal ID (nlm-ta): Sci Data

Journal ID (iso-abbrev): Sci Data

Title: Scientific Data

Publisher: Nature Publishing Group UK (London )

ISSN (Electronic): 2052-4463

Publication date (Electronic): 4 June 2020

Publication date PMC-release: 4 June 2020

Publication date Collection: 2020

Volume: 7

Electronic Location Identifier: 168

Affiliations

ISNI 0000 0004 1936 7312, GRID grid.34421.30, Department of Geological and Atmospheric Sciences, , Iowa State University, ; Ames, IA 50011 USA

Author information

Yuyu Zhou http://orcid.org/0000-0003-1765-6789

Article

Publisher ID: 510

DOI: 10.1038/s41597-020-0510-y

PMC ID: 7272434

PubMed ID: 32499523

SO-VID: 71a00838-f3fc-4652-ba98-97e4829c8fb9

License:

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.

History

Date received : 20 January 2020

Date accepted : 1 May 2020

Funding

Funded by: We acknowledge funding support from the U.S. Department of Energy, Office of Science, as part of research in Multi-Sector Dynamics, Earth and Environmental System Modeling Program.