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Author (up) Edison, T.A.
Title The Success of the Electric Light Type Magazine Article
Year 1880 Publication The North American Review Abbreviated Journal N. American Rev.
Volume 131 Issue 287 Pages 295-300
Keywords Society; history; artificial light; Lighting
Abstract (none)
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Corporate Author Thesis
Publisher University of Northern Iowa Place of Publication Editor
Language English Summary Language English Original Title
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ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 1272
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Author (up) Eisenstein, M.
Title Chronobiology: stepping out of time Type Journal Article
Year 2013 Publication Nature Abbreviated Journal Nature
Volume 497 Issue 7450 Pages S10-2
Keywords Human Health; Animals; Benzofurans/therapeutic use; CLOCK Proteins/genetics/metabolism; Circadian Rhythm/genetics/*physiology; Cyclopropanes/therapeutic use; Efficiency/physiology; Humans; Melatonin/agonists/metabolism; Obesity/metabolism; Sleep/genetics/*physiology; Suprachiasmatic Nucleus/metabolism
Abstract
Address
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Publisher Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0028-0836 ISBN Medium
Area Expedition Conference
Notes PMID:23698500 Approved no
Call Number LoNNe @ christopher.kyba @ Serial 500
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Author (up) Ekirch, A.R.
Title At Day’s Close – Night in Times Past Type Book Whole
Year 2005 Publication W. W. Norton & Company, New York, London Abbreviated Journal
Volume Issue Pages
Keywords Society
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Publisher Place of Publication Editor
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Series Editor Series Title Abbreviated Series Title
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ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kagoburian @ Serial 1035
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Author (up) Elvidge, C.D.; Baugh, K.E.; Anderson, S.J.; Sutton, P.C.; Ghosh, T.
Title The Lumen Gini Coefficient: a satellite imagery derived human development index Type Journal Article
Year 2012 Publication Social Geography Discussions Abbreviated Journal Soc. Geogr. Discuss.
Volume 8 Issue 1 Pages 27-59
Keywords Gini coefficient; light at night; remote sensing; economics; development
Abstract The “Lumen Gini Coefficient” is a simple, objective, spatially explicit and globally available empirical measurement of human development derived solely from nighttime satellite imagery and population density. There is increasing recognition that the distribution of wealth and income amongst the population in a nation or region correlates strongly with both the overall happiness of that population and the environmental quality of that nation or region. Measuring the distribution of wealth and income at national and regional scales is an interesting and challenging problem. Gini coefficients derived from Lorenz curves are a well-established method of measuring income distribution. Nonetheless, there are many shortcomings of the Gini coefficient as a measure of income or wealth distribution. Gini coefficients are typically calculated using national level data on the distribution of income through the population. Such data are not available for many countries and the results are generally limited to single values representing entire countries. In this paper we develop an alternative measure of the distribution of “human development”, called the “Lumen Gini coefficient”, that is derived without the use of monetary measures of wealth and is capable of providing a spatial depiction of differences in development within countries.
Address NOAA National Geophysical Data Center, Boulder, Colorado, USA
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1816-1502 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 216
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Author (up) Elvidge, C.D.; Keith, D.M.; Tuttle, B.T.; Baugh, K.E.
Title Spectral identification of lighting type and character Type Journal Article
Year 2010 Publication Sensors (Basel, Switzerland) Abbreviated Journal Sensors (Basel)
Volume 10 Issue 4 Pages 3961-3988
Keywords Led; Nightsat; lighting efficiency; lighting types; nighttime lights; photopic band
Abstract We investigated the optimal spectral bands for the identification of lighting types and the estimation of four major indices used to measure the efficiency or character of lighting. To accomplish these objectives we collected high-resolution emission spectra (350 to 2,500 nm) for forty-three different lamps, encompassing nine of the major types of lamps used worldwide. The narrow band emission spectra were used to simulate radiances in eight spectral bands including the human eye photoreceptor bands (photopic, scotopic, and “meltopic”) plus five spectral bands in the visible and near-infrared modeled on bands flown on the Landsat Thematic Mapper (TM). The high-resolution continuous spectra are superior to the broad band combinations for the identification of lighting type and are the standard for calculation of Luminous Efficacy of Radiation (LER), Correlated Color Temperature (CCT) and Color Rendering Index (CRI). Given the high cost that would be associated with building and flying a hyperspectral sensor with detection limits low enough to observe nighttime lights we conclude that it would be more feasible to fly an instrument with a limited number of broad spectral bands in the visible to near infrared. The best set of broad spectral bands among those tested is blue, green, red and NIR bands modeled on the band set flown on the Landsat Thematic Mapper. This set provides low errors on the identification of lighting types and reasonable estimates of LER and CCT when compared to the other broad band set tested. None of the broad band sets tested could make reasonable estimates of Luminous Efficacy (LE) or CRI. The photopic band proved useful for the estimation of LER. However, the three photoreceptor bands performed poorly in the identification of lighting types when compared to the bands modeled on the Landsat Thematic Mapper. Our conclusion is that it is feasible to identify lighting type and make reasonable estimates of LER and CCT using four or more spectral bands with minimal spectral overlap spanning the 0.4 to 1.0 um region.
Address Earth Observation Group, Solar and Terrestrial Division, NOAA National Geophysical Data Center, 325 Broadway, Boulder, CO 80305, USA. chris.elvidge@noaa.gov
Corporate Author Thesis
Publisher Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1424-8220 ISBN Medium
Area Expedition Conference
Notes PMID:22319336; PMCID:PMC3274255 Approved no
Call Number IDA @ john @ Serial 275
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