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Author Roychowdhury, K.; Jones, S.; Arrowsmith, C.; Reinke, K. url  doi
openurl 
  Title Indian census using satellite images: Can DMSP-OLS data be used for small administrative regions? Type Journal Article
  Year 2011 Publication Urban Remote Sensing Event (JURSE), 2011 Joint Abbreviated Journal  
  Volume Issue (up) Pages 153 - 156  
  Keywords Remote Sensing; India; South Asia; DMSP; DMSP-OLS  
  Abstract India conducts its census every ten years. Census data is collected manually in India with enumerators visiting every household in the country. Being such a vast country (in terms of area) and with a population of more than 1 billion, manual data collection is a laborious and expensive process. In response, this paper proposes a surrogate census method using DMSP-OLS night-time images. The study focuses on smaller administrative regions such as sub-districts (or taluks as they are known in the country) in the state of Maharashtra. Models are proposed using selected census metrics, and mean and standard deviation of stable lights and brightness information as obtained from the satellite images. The adjusted r2 values range from 0.2 to 0.8 at 95% confidence interval, with the majority of the metrics being moderately correlated (with r2 between 0.4 and 0.7). Generally it was found that the observed lights and brightness of big rural settlements from DMSP-OLS images have the potential for predicting certain census metrics. However, unlike larger areas such as districts where DMSP-OLS night-time images adequately predict census metrics, at the sub-district level the results need to be supplemented and validated with other information sources such as survey reports.  
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  Call Number LoNNe @ christopher.kyba @ Serial 490  
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Author Zamorano Calvo, J.; Sánchez de Miguel, A.; Pascual Ramírez, S.; Gómez Castaño, J.; Ramírez Moreta, P.; Challupner, P. url  openurl
  Title ISS nocturnal images as a scientific tool against Light Pollution Type Journal Article
  Year 2011 Publication Unpublished working paper submitted to NASA JSC Imaging Lab Abbreviated Journal  
  Volume Issue (up) Pages  
  Keywords Remote Sensing  
  Abstract The potential of the night pictures taken from the International Space Station (ISS) with a Nikon D3s digital camera to fight against light pollution is shown. A scientific analysis of ISS026-E-26493 RAW image of Madrid at night with techniques used by astronomers and cartographers is performed. We suggest an observational setup to obtain useful scientific information from the pictures including series of exposures and calibration frames.  
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  Notes Approved no  
  Call Number LoNNe @ christopher.kyba @ Serial 492  
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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 (up) 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 Albers, S.; Duriscoe, D.M. url  openurl
  Title Modeling light pollution from population data and implications for National Park Service lands. Type Journal Article
  Year 2001 Publication George Wright Forum Abbreviated Journal  
  Volume 18 Issue (up) Pages 56-68  
  Keywords Skyglow  
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  Notes Approved no  
  Call Number LoNNe @ kagoburian @ Serial 555  
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Author Garstang, R.H. url  doi
openurl 
  Title Night-sky brightness at observatories and sites. Type Journal Article
  Year 1989 Publication Publ Astron Soc Pac Abbreviated Journal  
  Volume 101 Issue (up) Pages 306-329  
  Keywords Skyglow  
  Abstract A model previously constructed for night-sky brightness calculations has been modified to allow for the curvature of the earth. The model has been applied to calculate the brightness at the following observatories: Mount Wilson, Lick, Mount Palomar, Kitt Peak, Sacramento Peak, Mauna Kea, McDonald, San Pedro Martir, Mount Hopkins, Mount Lemmon, Lowell (Mars Hill), Lowell (Anderson Mesa), Fick, Iowa, Van Vleck, David Dunlap, Anglo-Australian, Haute Provence, and Cerro Tololo. Calculations have also been carried out for the following prospective observatory sites: Junipero Serra, Mount Graham, Charleston Peak, Wheeler Peak, Miller Peak, San Benito Mountain, Lowell (Hutch Mountain), Lowell (Saddle Mountain), and South Baldy (New Mexico). The model is extended to calculate magnitudes in the B photometric band.  
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  Notes Approved no  
  Call Number LoNNe @ kagoburian @ Serial 559  
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