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• W2891191818 abstract "The majority of the research using night-time data has focused on the terrestrial environment, while the light flooding our oceans is less studied. Meanwhile, given the rapid development of imaging technology at night, remotely sensed night-time light data can now provide a great opportunity to improve understanding of the spatiotemporal distribution of light over large areas. In this article, we used monthly cloud-free night-time imagery from the Suomi National Polar-Orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite Day/Night Band, collected from 2014 to 2016, to explore the spatial distribution of night-time light in marine ecosystems. Morphological methods were used to extract light agglomeration areas. Using the Empirical Mode Decomposition method, we detected seasonal change patterns. Our results show that the distribution of light at night is clustered, and mainly concentrated in coastal and offshore waters, with about 70% of the total light found in 0.3% of the global marine waters. Flares from oil and gas well may not create a distinctive seasonal pattern, although fishing lights may show a seasonal pattern. The five largest agglomeration areas of light are centred in the eastern and southeast waters of Asia with little seasonal fluctuation. The cyclical light pattern of the entire marine system had a period of about 0.94 years, while varied from 0.5 to 1.1 years in the agglomeration areas. The proportions of seasonal energy for 49% of the top 100 agglomeration areas were below 10%, while the areas located in the waters near northern Japan, North Korea, eastern Indonesia, and eastern Argentina experienced large seasonal changes." @default.
• W2891191818 created "2018-09-27" @default.
• W2891191818 creator A5051686143 @default.
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• W2891191818 creator A5089222012 @default.
• W2891191818 creator A5021530206 @default.
• W2891191818 date "2018-09-09" @default.
• W2891191818 modified "2023-09-25" @default.
• W2891191818 title "Spatial and seasonal patterns of night-time lights in global ocean derived from VIIRS DNB images" @default.
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• W2891191818 doi "https://doi.org/10.1080/01431161.2018.1482022" @default.
• W2891191818 hasPublicationYear "2018" @default.
• W2891191818 type Work @default.
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