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Author Bamford, S.P.; Nichol, R.C.; Baldry, I.K.; Land, K.; Lintott, C.J.; Schawinski, K.; Slosar, A.; Szalay, A.S.; Thomas, D.; Torki, M.; Andreescu, D.; Edmondson, E.M.; Miller, C.J.; Murray, P.; Raddick, M.J.; Vandenberg, J. url  doi
openurl 
  Title Galaxy Zoo: the dependence of morphology and colour on environment Type Journal Article
  Year 2009 Publication Monthly Notices of the Royal Astronomical Society Abbreviated Journal  
  Volume (down) 393 Issue 4 Pages 1324-1352  
  Keywords Remote Sensing  
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  ISSN 0035-8711 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ kagoburian @ Serial 902  
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Author Jean, N.; Burke, M.; Xie, M.; Davis, W.M.; Lobell, D.B.; Ermon, S. url  doi
openurl 
  Title Combining satellite imagery and machine learning to predict poverty Type Journal Article
  Year 2016 Publication Science Abbreviated Journal Science  
  Volume (down) 353 Issue 6301 Pages 790-794  
  Keywords Remote Sensing  
  Abstract Nighttime lighting is a rough proxy for economic wealth, and nighttime maps of the world show that many developing countries are sparsely illuminated. Jean et al. combined nighttime maps with high-resolution daytime satellite images (see the Perspective by Blumenstock). With a bit of machine-learning wizardry, the combined images can be converted into accurate estimates of household consumption and assets, both of which are hard to measure in poorer countries. Furthermore, the night- and day-time data are publicly available and nonproprietary.  
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  ISSN 0036-8075 ISBN Medium  
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  Notes Approved no  
  Call Number LoNNe @ kyba @ Serial 1507  
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Author Kuechly, H.; Kyba, C.; Hölker, F. url  openurl
  Title Woher kommt das Licht? Räumliche Betrachtung der Lichtverschmutzung Type Journal Article
  Year 2013 Publication In: Held, M., Hölker, F. & Jessel, B. (2013) Schutz der Nacht – Lichtverschmutzung, Biodiversität und Nachtlandschaft. – BfN-Skripten Abbreviated Journal  
  Volume (down) 336 Issue Pages 39-42  
  Keywords Remote Sensing  
  Abstract In der Nacht ist die künstliche Beleuchtung eines der deutlichsten Kennzeichen für menschliche Aktivität auf der Erde. Wie bei vielen anderen anthropogenen Umweltveränderungen sind auch bei der künstlichen Beleuchtung die unmittelbaren Vorteile weit offensichtlicher als ihre unerwünschten Nebenwirkungen. Auch wenn über ein Drittel der Menschen in Deutschland die Milchstraße noch nie mit eigenen Augen gesehen hat (Emnid & PM Magazin 2002), sind sich nur wenige der Nachteile der künstlichen Beleuchtung bewusst. Daher verwundert es nicht, dass trotz energieeffizienterer Technologien die Kosten für die künstliche Beleuchtung nicht zurückgegangen sind–vielmehr werden heute immer mehr Straßen und Wege, Gärten und Gebäude beleuchtet.

Aber woher kommt das Licht genau? Lichtquellen und Lichtintensitäten, die Verteilung und die zeitliche Veränderung von Lichtemissionen lassen sich sehr gut mittels räumlicher Datenerhebung identifizieren, darstellen und analysieren. Dieser Beitrag gibt einen kurzen Überblick über die Verfahren und diskutiert Möglichkeiten zur Quantifizierung von Lichtverschmutzung.
 
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  Notes Approved no  
  Call Number LoNNe @ kagoburian @ Serial 898  
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Author Bharti, N.; Tatem, A.J.; Ferrari, M.J.; Grais, R.F.; Djibo, A.; Grenfell, B.T. url  doi
openurl 
  Title Explaining seasonal fluctuations of measles in Niger using nighttime lights imagery Type Journal Article
  Year 2011 Publication Science (New York, N.Y.) Abbreviated Journal Science  
  Volume (down) 334 Issue 6061 Pages 1424-1427  
  Keywords Remote Sensing; Human Health; Cities; Emigration and Immigration; Epidemics; *Epidemiologic Methods; Humans; Light; Measles/*epidemiology/transmission; Niger/epidemiology; *Population Density; Remote Sensing Technology; *Seasons; Spacecraft  
  Abstract Measles epidemics in West Africa cause a significant proportion of vaccine-preventable childhood mortality. Epidemics are strongly seasonal, but the drivers of these fluctuations are poorly understood, which limits the predictability of outbreaks and the dynamic response to immunization. We show that measles seasonality can be explained by spatiotemporal changes in population density, which we measure by quantifying anthropogenic light from satellite imagery. We find that measles transmission and population density are highly correlated for three cities in Niger. With dynamic epidemic models, we demonstrate that measures of population density are essential for predicting epidemic progression at the city level and improving intervention strategies. In addition to epidemiological applications, the ability to measure fine-scale changes in population density has implications for public health, crisis management, and economic development.  
  Address Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA. nbharti@princeton.edu  
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  ISSN 0036-8075 ISBN Medium  
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  Notes PMID:22158822; PMCID:PMC3891598 Approved no  
  Call Number GFZ @ kyba @ Serial 2770  
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Author Cinzano, P.; Falchi, F.; Elvidge, C.D. url  doi
openurl 
  Title Naked-eye star visibility and limiting magnitude mapped from DMSP-OLS satellite data Type Journal Article
  Year 2001 Publication Monthly Notices of the Royal Astronomical Society Abbreviated Journal Monthly Notices of the Royal Astronomical Society  
  Volume (down) 323 Issue 1 Pages 34-46  
  Keywords light at night; remote sensing; GTOPO30; DMSP; light pollution; modeling; mapping  
  Abstract We extend the method introduced by Cinzano et al. (2000a) to map the artificial sky brightness in large territories from DMSP satellite data, in order to map the naked eye star visibility and telescopic limiting magnitudes. For these purposes we take into account the altitude of each land area from GTOPO30 world elevation data, the natural sky brightness in the chosen sky direction, based on Garstang modelling, the eye capability with naked eye or a telescope, based on the Schaefer (1990) and Garstang (2000b) approach, and the stellar extinction in the visual photometric band. For near zenith sky directions we also take into account screening by terrain elevation. Maps of naked eye star visibility and telescopic limiting magnitudes are useful to quantify the capability of the population to perceive our Universe, to evaluate the future evolution, to make cross correlations with statistical parameters and to recognize areas where astronomical observations or popularisation can still acceptably be made. We present, as an application, maps of naked eye star visibility and total sky brightness in V band in Europe at the zenith with a resolution of approximately 1 km.  
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  ISSN 0035-8711 ISBN Medium  
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  Notes Approved no  
  Call Number IDA @ john @ Serial 175  
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