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The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

VIIRS night-time lights

Open access
Elvidge, Christopher D, Baugh, Kimberly, Zhizhin, Mikhail, Hsu, Feng Chi, Ghosh, Tilottama·2017·International Journal of Remote Sensing

Abstract

The Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) collects global low-light imaging data that have significant improvements over comparable data collected for 40 years by the DMSP Operational Linescan System. One of the prominent features of DNB data is the detection of electric lighting present on the Earth’s surface. Most of these lights are from human settlements. VIIRS collects source data that could be used to generate monthly and annual science grade global radiance maps of human settlements with electric lighting. There are a substantial number of steps involved in producing a product that has been cleaned to exclude background noise, solar and lunar contamination, data degraded by cloud cover, and features unrelated to electric lighting (e.g. fires, flares, volcanoes). This article describes the algorithms developed for the production of high-quality global VIIRS night-time lights. There is a broad base of science users for VIIRS night-time lights products, ranging from land-use scientists, urban geographers, ecologists, carbon modellers, astronomers, demographers, economists, and social scientists.

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Metadata

Authors
Elvidge, C. D., Baugh, K., Zhizhin, M., Hsu, F. C., & Ghosh, T.
Venue
International Journal of Remote Sensing
Published
2017-06-26
Volume
38
Issue
21
Pages
5860-5879
ISSN
  • 0143-1161 (ISSN-L)
  • 1366-5901
OpenAlex
W2649137640
Cited by
964
References
19
FWCI
36.98
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: VIIRS night-time lights. https://app.cochat.ai/papers/10.1080/01431161.2017.1342050
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Elvidge, C. D., Baugh, K., Zhizhin, M., Hsu, F. C., & Ghosh, T. (2017). VIIRS night-time lights. International Journal of Remote Sensing. https://doi.org/10.1080/01431161.2017.1342050

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