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Author (up) Amaral, S.; Monteiro, A.M.V.; Camara, G.; Quintanilha, J.A. url  doi
openurl 
  Title DMSP/OLS night-time light imagery for urban population estimates in the Brazilian Amazon Type Journal Article
  Year 2006 Publication International Journal of Remote Sensing Abbreviated Journal International Journal of Remote Sensing  
  Volume 27 Issue 5 Pages 855-870  
  Keywords Remote Sensing  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0143-1161 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ kagoburian @ Serial 701  
Permanent link to this record
 

 
Author (up) Anderson, S.J.; Tuttle, B.T.; Powell, R.L.; Sutton, P.C. url  doi
openurl 
  Title Characterizing relationships between population density and nighttime imagery for Denver, Colorado: issues of scale and representation Type Journal Article
  Year 2010 Publication International Journal of Remote Sensing Abbreviated Journal International Journal of Remote Sensing  
  Volume 31 Issue 21 Pages 5733-5746  
  Keywords Remote Sensing  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0143-1161 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ kagoburian @ Serial 702  
Permanent link to this record
 

 
Author (up) Elvidge, C.D.; Baugh, K.; Zhizhin, M.; Hsu, F.C.; Ghosh, T. url  doi
openurl 
  Title VIIRS night-time lights Type Journal Article
  Year 2017 Publication International Journal of Remote Sensing Abbreviated Journal International Journal of Remote Sensing  
  Volume 38 Issue 21 Pages 5860-5879  
  Keywords Remote Sensing  
  Abstract The Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) collects global low-light imaging data that have significant improvements over comparable data collected for 40 years by the DMSP Operational Linescan System. One of the prominent features of DNB data is the detection of electric lighting present on the Earth’s surface. Most of these lights are from human settlements. VIIRS collects source data that could be used to generate monthly and annual science grade global radiance maps of human settlements with electric lighting. There are a substantial number of steps involved in producing a product that has been cleaned to exclude background noise, solar and lunar contamination, data degraded by cloud cover, and features unrelated to electric lighting (e.g. fires, flares, volcanoes). This article describes the algorithms developed for the production of high-quality global VIIRS night-time lights. There is a broad base of science users for VIIRS night-time lights products, ranging from land-use scientists, urban geographers, ecologists, carbon modellers, astronomers, demographers, economists, and social scientists.  
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  Notes Approved no  
  Call Number LoNNe @ kyba @ Serial 1750  
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Author (up) Elvidge, C.D.; Baugh, K.E.; Kihn, E.A.; Kroehl, H.W.; Davis, E.R.; Davis, C.W. url  doi
openurl 
  Title Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption Type Journal Article
  Year 1997 Publication International Journal of Remote Sensing Abbreviated Journal International Journal of Remote Sensing  
  Volume 18 Issue 6 Pages 1373-1379  
  Keywords Energy  
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  Notes Approved no  
  Call Number LoNNe @ kagoburian @ Serial 741  
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Author (up) 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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  Notes Approved no  
  Call Number LoNNe @ christopher.kyba @ Serial 495  
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