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Author Rybnikova, N.A.; Haim, A.; Portnova, B.A. url  doi
openurl 
  Title Is Prostate Cancer Incidence Worldwide Linked to Artificial Light at Night Exposures? Earlier Findings' Revisit and Current Trends' Analysis Type Journal Article
  Year 2016 Publication (up) Archives of Environmental & Occupational Health Abbreviated Journal Arch Environ Occup Health  
  Volume 72 Issue 2 Pages 111-122  
  Keywords Human Health; Remote Sensing  
  Abstract Widespread use of artificial light at night (ALAN) might contribute to the global burden of hormone-dependent cancers. However, previous attempts to verify this association in population-level studies have been sparse. Using the GLOBOCAN, US-DMSP and World Bank's 2010-2012 databases, we studied the association between ALAN and prostate cancer (PC) incidence in 180 countries worldwide, controlling for several country-level confounders. As our analysis indicates, the PC-ALAN association emerged marginally significant when year-2012 PC age-standardized rate data were compared with ALAN levels (t = 1.886, P<0.1); while this association emerged as more significant (t>2.7; P<0.01) when only 110 countries with well-maintained cancer registries were analyzed. Along with other variables, ALAN explains up to 79% of PC ASRs variability. PC-ALAN association appears to vary regionally, with the greatest deviations in Central Africa, Small Island Developing States, South East Asia and Gulf States.  
  Address a Department of Natural Resources and Environmental Management, Faculty of Management, University of Haifa, 31805, Carmel, Mt, Israel  
  Corporate Author Thesis  
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  Language English Summary Language Original Title  
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  ISSN 1933-8244 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:27029744 Approved no  
  Call Number LoNNe @ kyba @ Serial 1412  
Permanent link to this record
 

 
Author You, X.; Monahan, K.M. url  doi
openurl 
  Title A thirst for development: mapping water stress using night-time stable lights as predictors of province-level water stress in China Type Journal Article
  Year 2017 Publication (up) Area Abbreviated Journal Area  
  Volume 49 Issue 4 Pages 477-485  
  Keywords Remote Sensing  
  Abstract Given the rapid development within China, the inequality of available water resources has been increasingly of interest. Current methods for assessing water stress are inadequate for province‐scale rapid monitoring. A more responsive indicator at a finer scale is needed to understand the distribution of water stress in China. This paper selected Defense Meteorological Satellite Program Operational Line‐scan System night‐time stable lights as a proxy for water stress at the province level in China from 2004 to 2012, as night‐time lights are closely linked with population density, electricity consumption and other social, economic and environmental indicators associated with water stress. The linear regression results showed the intensity of night‐time lights can serve as a predictive tool to assess water stress across provinces with an R2 from 0.797 to 0.854. The model worked especially well in some regions, such as East China, North China and South West China. Nonetheless, confounding factors interfered with the predictive relationship, including population density, level of economic development, natural resource endowment and industrial structures, etc. The model was not greatly improved by building a multi‐variable linear regression including agricultural and industrial indicators. A straightforward predictor of water stress using remotely sensed data was developed.  
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  ISSN 0004-0894 ISBN Medium  
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  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2030  
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Author Cardiel, N.; Gorgas, J.; Gallego J.; Serrano, A.; Zamorano, J.; Garcia-Vargas, M.-L.; Gomez-Cambronero, P.; Filgueira, J.M. url  openurl
  Title Proper handling of random errors and distortions in astronomical data analysis. Type Report
  Year 2002 Publication (up) Astronomical Telescopes and Instrumentation Abbreviated Journal  
  Volume Issue Pages 297–304  
  Keywords Remote Sensing  
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  Notes Approved no  
  Call Number LoNNe @ kagoburian @ Serial 911  
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Author de Miguel, A.S.; Castano, J.G.; Zamorano, J.; Pascual, S.; Angeles, M.; Cayuela, L.; Martinez, G.M.; Challupner, P.; Kyba, C.C.M. url  doi
openurl 
  Title Atlas of astronaut photos of Earth at night Type Journal Article
  Year 2014 Publication (up) Astronomy & Geophysics Abbreviated Journal Astronomy & Geophysics  
  Volume 55 Issue 4 Pages 4.36-4.36  
  Keywords Remote Sensing  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1366-8781 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ christopher.kyba @ Serial 482  
Permanent link to this record
 

 
Author Li, R.; Liu, X.; Li, X. url  doi
openurl 
  Title Estimation of the PM2.5 Pollution Levels in Beijing Based on Nighttime Light Data from the Defense Meteorological Satellite Program-Operational Linescan System Type Journal Article
  Year 2015 Publication (up) Atmosphere Abbreviated Journal Atmosphere  
  Volume 6 Issue 5 Pages 607-622  
  Keywords Remote Sensing  
  Abstract Nighttime light data record the artificial light on the Earth’s surface and can be used to estimate the degree of pollution associated with particulate matter with an aerodynamic diameter of less than 2.5 &#956;m (PM2.5) in the ground-level atmosphere. This study proposes a simple method for monitoring PM2.5 concentrations at night by using nighttime light imagery from the Defense Meteorological Satellite Program-Operational Linescan System (DMSP-OLS). This research synthesizes remote sensing and geographic information system techniques and establishes a back propagation neural-network (BP network) model. The BP network model for nighttime light data performed well in estimating the PM2.5 pollution in Beijing. The correlation coefficient between the BP network model predictions and the corrected PM2.5 concentration was 0.975; the root mean square error was 26.26 &#956;g/m3, with a corresponding average PM2.5 concentration of 155.07 &#956;g/m3; and the average accuracy was 0.796. The accuracy of the results primarily depended on the method of selecting regions in the DMSP nighttime light data. This study provides an opportunity to measure the nighttime environment. Furthermore, these results can assist government agencies in determining particulate matter pollution control areas and developing and implementing environmental conservation planning.  
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  Series Volume Series Issue Edition  
  ISSN 2073-4433 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ christopher.kyba @ Serial 1173  
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