VIIRS night-time lights
By Christopher D. Elvidge, Kimberly E. Baugh, M. Zhizhin, F. Hsu, Tilottama Ghosh. Remote Sensing of Night-time Light, 2017
792 citations recorded by the source corpus.
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.
Subfields: Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/cf7ac4cb31ae27c8bd89468c81da5b3a0e5fdec1
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In Global and Planetary Change
Citations in the corpus
- Annual Time Series of Global VIIRS Nighttime Lights Derived from Monthly Averages: 2012 to 2019 (2021, methodology): “The processing chain features a cascading set of filtering steps [2].”
- The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use (2019, background): “…Radiometer Suite, VIIRS, with respect to DMSP-OLS Nighttime Lights) that have been already successfully tested in urban mapping applications (Elvidge et al., 2017), as well as settlement data production (GHSL, GUF, as well as at Digital Globe, etc.) to further refine the available…”
- Applications of Satellite Remote Sensing of Nighttime Light Observations: Advances, Challenges, and Perspectives (2019, methodology): “The global annual NTLs in the years of 2015 and 2016 were further processed to remove biomass burning and other extraneous features [42].”