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Author Aubé, M.; Franchomme-Fossé, L.; Robert-Staehler, P.; Houle, V. url  doi
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  Title Light pollution modeling and detection in a heterogeneous environment: toward a night time aerosol optical depth retrieval method. Type Journal Article
  Year 2005 Publication Proceedings of SPIE 2005 -- Volume 5890, San Diego, California, USA. Abbreviated Journal  
  Volume 5890 Issue Pages  
  Keywords Skyglow; aerosol optical depth;  remote sensing; light pollution; artificial skyglow  
  Abstract Tracking the Aerosol Optical Depth (AOD) is of particular importance in monitoring aerosol contributions to global radiative forcing. Until now, the two standard techniques used for retrieving AOD were; (i) sun photometry, and (ii) satellite based approaches, such as based DDV (Dense Dark Vegetation) inversion algorithms. These methods are only available for use during daylight time since they are based on direct or indirect observation of sunlight. Few attempts have been made to measure AOD behaviour at night. One such method uses spectrally ­ calibrated stars as reference targets but the number of available stars is limited. This is especially true for urban sites where artificial lighting hides most  of these stars. In this research, we  attempt  to provide an alternate method, one  which exploits artificial sky glow or light pollution. This methodology links a 3D light pollution model with in situ light pollution measurements. The basic idea is to adjust an AOD value into the model in order to fit measured light pollution. This method requires an accurate model that includes spatial heterogeneity in lighting angular geometry, in lighting spectral dependence, in ground spectral reflectance and in topography. This model, named ILLUMINA, computes 1st and 2nd order molecular and aerosol scattering, as well as aerosol absorption. These model features represent major improvements to previous light pollution models. Therefore, new possibilities for light pollution studies will arise, many of which are of particular interest to the astronomical community. In this paper we will present a first sensitive study applied to the ILLUMINA model.  
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  Call Number LoNNe @ kagoburian @ Serial 554  
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Author Aubrecht, C.; Jaiteh, M.; Sherbinin, A.De.; Longcore, T. openurl 
  Title Monitoring impact of urban settlements on nearby protected areas from space. Type Journal Article
  Year 2010 Publication Geophysical Research Abstracts Abbreviated Journal  
  Volume 12 Issue Pages 12758-12758  
  Keywords Remote Sensing  
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  Call Number LoNNe @ schroer @ Serial 570  
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Author Earth Observation Group, and National Oceanic and Atmospheric Administration (NOAA) openurl 
  Title VIIRS Nighttime Lights – 2012, edited, National Geophysical Data Center Type Journal Article
  Year 2013 Publication Abbreviated Journal  
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  Keywords Remote Sensing  
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  Call Number LoNNe @ kagoburian @ Serial 738  
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Author National Oceanic and Atmospheric Administration (NOAA) openurl 
  Title Global radiance calibrated nighttime lights Type Journal Article
  Year 2010 Publication National Geophysical Data Center Abbreviated Journal  
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  Keywords Remote Sensing  
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  Call Number LoNNe @ kagoburian @ Serial 788  
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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 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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  Call Number LoNNe @ kagoburian @ Serial 898  
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