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Author Amavilah, V.H.
Title (up) Artificial nighttime lights and the “real” well-being of nations : “Measuring economic growth from outer space” and welfare from right here on Earth Type Journal Article
Year 2018 Publication Journal of Economics and Political Economy Abbreviated Journal
Volume 5 Issue 2 Pages 209-218
Keywords Economics; Remote Sensing
Abstract GDP remains too much of an imprecise measure of the standard of living. There

is a need for either substitutes or complements. Nighttime lights are a reasonable indicator of the extent, scale, and intensity of socio-economic activities, but a poor measure of national welfare. However, if nighttime lights are understood to constitute externalities, then their effects can be used to adjust measured growth for welfare. From that angle, nighttime lights appear to exert sub-optimal positive externalities in developing countries, and supra-optimal negative externality in developed countries. This means that even if we assume equal growth rates in developing and developed countries, welfare is enhanced by increasing nighttime lights in developing countries and reduced by increasing nighttime lights in developed countries.
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Call Number NC @ ehyde3 @ Serial 2099
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Author Bagan, H.; Borjigin, H.; Yamagata, Y.
Title (up) Assessing nighttime lights for mapping the urban areas of 50 cities across the globe Type Journal Article
Year 2018 Publication Environment and Planning B: Urban Analytics and City Science Abbreviated Journal Environment and Planning B: Urban Analytics and City Science
Volume Issue Pages 2399808317752926
Keywords Remote Sensing
Abstract Nighttime data from the Defense Meteorological Satellite Program Operational Linescan System have been widely used to map urban/built-up areas (hereafter referred to as “built-up area”), but to date there has not been a geographically comprehensive evaluation of the effectiveness of using nighttime lights data to map urban areas. We created accurate, convenient, and scalable grid cells based on Defense Meteorological Satellite Program/Operational Linescan System nighttime light pixels. We then calculated the density of Landsat-derived built-up areas within each grid cell. We explored the relationship between Defense Meteorological Satellite Program/Operational Linescan System nighttime lights data and the density of built-up areas to assess the utility of nighttime lights for mapping urban areas in 50 cities across the globe. We found that the brightness of nighttime lights was only in moderate agreement with the density of built-up areas; moreover, correlations between nighttime lights and Landsat-derived built-up areas were weak. Even in relatively sparsely populated urban regions (where the density of the built-up area is less than 20%), the highest correlation coefficient (R2) was only 0.4. Furthermore, nighttime lights showed lighted areas that extended beyond the area of large cities, and nighttime lights reduced the area of small cities. The results suggest that it is difficult to use the regression model to calibrate the Defense Meteorological Satellite Program/Operational Linescan System nighttime lights to fit urban built up areas.
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ISSN 2399-8083 ISBN Medium
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Call Number LoNNe @ kyba @; GFZ @ kyba @ Serial 1795
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Author Massetti, L.
Title (up) Assessing the impact of street lighting on Platanus x acerifolia phenology Type Journal Article
Year 2018 Publication Urban Forestry & Urban Greening Abbreviated Journal Urban Forestry & Urban Greening
Volume 34 Issue Pages 71-77
Keywords Plants
Abstract Autumn phenology is an important part of the tree growing season that is still poorly understood. In addition to the environmental factors that might affect its timing, there are artificial effects introduced by modern society that could interfere with it, such as the increasing use of artificial light to illuminate urban nights. This study investigates the relationship between outdoor public lighting and leaf senescence of Platanus x acerifolia that constitutes with more than 4000 individuals, and 6% of public greening in Florence, Italy. The difference in autumn phenology under two lighting conditions was assessed by analysing data collected in a real context, using a presence-absence protocol of green leaves on 283 trees during leaf fall season from 2014 to 2017. Trees were classified in two groups of different light exposure. In 2016-2017, data were also collected at Cascine park, the main green area within the city and darker than the monitored sites. According to the analysis, the percentage of trees with green leaves under luminaires was significantly higher than trees far from the luminaires, for all sites from mid-December to the end of January, and this effect was enhanced during 2016-2017 which was characterised by a colder winter. In the same year, the period of absence of green leaves at Cascine started at least 20 days earlier than the other sites. These findings should be taken into consideration by scientists because artificial light could affect autumn phenology and therefore the length of the vegetative season, and by urban greening and light managers during the design and management of public green spaces. Moreover, the presence-absence protocol proved to be suitable for collecting observations because it was easy to perform in a real context.
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ISSN 1618-8667 ISBN Medium
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Call Number GFZ @ kyba @ Serial 1932
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Author Ahn, H.; Lee, S.; Jo, E.
Title (up) Assessment on Lighting Management Zones for Light pollution in Gwangju Metropolitan City Type Journal Article
Year 2018 Publication 한국태양에너지학회 학술대회논문집 Abbreviated Journal
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Keywords Lighting; Planning
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Call Number GFZ @ kyba @ Serial 1960
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Author Hu, Z.; Hu, H.; Huang, Y.
Title (up) Association between nighttime artificial light pollution and sea turtle nest density along Florida coast: A geospatial study using VIIRS remote sensing data Type Journal Article
Year 2018 Publication Environmental Pollution (Barking, Essex : 1987) Abbreviated Journal Environ Pollut
Volume 239 Issue Pages 30-42
Keywords Animals; Remote Sensing
Abstract Artificial lighting at night has becoming a new type of pollution posing an important anthropogenic environmental pressure on organisms. The objective of this research was to examine the potential association between nighttime artificial light pollution and nest densities of the three main sea turtle species along Florida beaches, including green turtles, loggerheads, and leatherbacks. Sea turtle survey data was obtained from the “Florida Statewide Nesting Beach Survey program”. We used the new generation of satellite sensor “Visible Infrared Imaging Radiometer Suite (VIIRS)” (version 1 D/N Band) nighttime annual average radiance composite image data. We defined light pollution as artificial light brightness greater than 10% of the natural sky brightness above 45 degrees of elevation (>1.14x10(-11) Wm(-2)sr(-1)). We fitted a generalized linear model (GLM), a GLM with eigenvectors spatial filtering (GLM-ESF), and a generalized estimating equations (GEE) approach for each species to examine the potential correlation of nest density with light pollution. Our models are robust and reliable in terms of the ability to deal with data distribution and spatial autocorrelation (SA) issues violating model assumptions. All three models found that nest density is significantly negatively correlated with light pollution for each sea turtle species: the higher light pollution, the lower nest density. The two spatially extended models (GLM-ESF and GEE) show that light pollution influences nest density in a descending order from green turtles, to loggerheads, and then to leatherbacks. The research findings have an implication for sea turtle conservation policy and ordinance making. Near-coastal lights-out ordinances and other approaches to shield lights can protect sea turtles and their nests. The VIIRS DNB light data, having significant improvements over comparable data by its predecessor, the DMSP-OLS, shows promise for continued and improved research about ecological effects of artificial light pollution.
Address Department of Computing Sciences, Texas A&M University-Corpus Christi, Corpus Christi, TX, USA. Electronic address: Lucy.Huang@tamucc.edu
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ISSN 0269-7491 ISBN Medium
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Notes PMID:29649758 Approved no
Call Number GFZ @ kyba @ Serial 1855
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