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Author Elvidge, C.D.; Cinzano, P.; Pettit, D.R.; Arvesen, J.; Sutton, P.; Small, C.; Nemani, R.; Longcore, T.; Rich, C.; Safran, J.; Weeks, J.; Ebener, S. url  doi
openurl 
  Title The Nightsat mission concept Type Journal Article
  Year 2007 Publication International Journal of Remote Sensing Abbreviated Journal International Journal of Remote Sensing  
  Volume 28 Issue 12 Pages 2645-2670  
  Keywords Remote Sensing  
  Abstract Nightsat is a concept for a satellite system capable of global observation of the location, extent and brightness of night‐time lights at a spatial resolution suitable for the delineation of primary features within human settlements. Based on requirements from several fields of scientific inquiry, Nightsat should be capable of producing a complete cloud‐free global map of lights on an annual basis. We have used a combination of high‐resolution field spectra of outdoor lighting, moderate resolution colour photography of cities at night from the International Space Station, and high‐resolution airborne camera imagery acquired at night to define a range of spatial, spectral, and detection limit options for a future Nightsat mission. The primary findings of our study are that Nightsat should collect data from a near‐synchronous orbit in the early evening with 50 to 100 m spatial resolution and have detection limits of 2.5E−8 Watts cm−2sr−1µm−1 or better. Although panchromatic low‐light imaging data would be useful, multispectral low‐light imaging data would provide valuable information on the type or character of lighting; potentially stronger predictors of variables such as ambient population density and economic activity; and valuable information to predict response of other species to artificial night lighting. The Nightsat mission concept is unique in its focus on observing a human activity, in contrast to traditional Earth observing systems that focus on natural systems.  
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  Series Volume Series Issue Edition  
  ISSN 0143-1161 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ christopher.kyba @ Serial 495  
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Author Imhoff, M. url  doi
openurl 
  Title Using nighttime DMSP/OLS images of city lights to estimate the impact of urban land use on soil resources in the United States Type Journal Article
  Year 1997 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume 59 Issue 1 Pages 105-117  
  Keywords Remote Sensing  
  Abstract Nightime “city light” footprints derived from DMSP/OLS satellite images were merged with census data and a digital soils map in a continental-scale test of a remote sensing and geographic information system methodology for approximating the extent of built-up land and its potential impact on soil resources in the United States. Using image processing techniques and census data, we generated maps where the “city lights” class represented mean population densities of 947 persons km−2 and 392 housing units km−2, areas clearly not available to agriculture. By our analysis, such “city lights” representing urban areas accounted for 2.7% of the surface area in the United States, an area approximately equal to the State of Minnesota or one half the size of California. Using the UN/FAO Fertility Capability Classification System to rank soils, results for the United States show that development appears to be following soil resources, with the better agricultural soils being the most urbanized. Some unique soil types appear to be on the verge of being entirely coopted by “urban sprawl.” Urban area figures derived from the DMSP/OLS imagery compare well to those derived from statistical sources. Further testing and refinement of the methodology remain but the technique shows promise for possible extension to global evaluations of urbanization, population and even global productivity.  
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  Series Volume Series Issue Edition  
  ISSN 0034-4257 ISBN Medium  
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  Notes Approved no  
  Call Number LoNNe @ christopher.kyba @ Serial 496  
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Author Aubé, M.; Franchomme-Fossé, L.; Robert-Staehler, P.; Houle, V. url  doi
openurl 
  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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  Notes Approved no  
  Call Number LoNNe @ kagoburian @ Serial 554  
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Author Kyba, C.C.M.; Giuliani, G.; Franziskakis, F.; Tockner, K.; Lacroix, P. url  doi
openurl 
  Title Artisanal and Small-Scale Mining Sites in the Democratic Republic of the Congo Are Not Associated with Nighttime Light Emissions Type Journal Article
  Year 2019 Publication J Abbreviated Journal J  
  Volume 2 Issue 2 Pages 152-161  
  Keywords Remote Sensing  
  Abstract Maintaining records of artisanal and small-scale mining sites in developing countries requires considerable effort, so it would be beneficial if Earth observation data from space could assist in the identifying and monitoring of such sites. Artificial light emissions are common at industrial-scale mining sites and have been associated with small-scale illegal mining in some contexts. Here, we examine whether known artisanal and small-scale mining sites in the Democratic Republic of the Congo (DRC) are associated with observations of night light emissions by the Visible Infrared Imaging Radiometer Suite Day/Night Band (DNB). Light emissions from the mining sites were not observed: the radiance observed from the sites was near zero and nearly identical to that observed for a set of randomly-chosen locations in the same region. While it is the case that DNB night lights’ products provide useful data in other resource extraction contexts, they do not appear to be useful for identifying artisanal mining sites in the DRC.  
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  Series Volume Series Issue Edition  
  ISSN 2571-8800 ISBN Medium  
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  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2295  
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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  
  Abstract  
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  Notes Approved no  
  Call Number LoNNe @ schroer @ Serial 570  
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