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Author (up) Kloog, I.; Stevens, R.G.; Haim, A.; Portnov, B.A. url  doi
openurl 
  Title Nighttime light level co-distributes with breast cancer incidence worldwide Type Journal Article
  Year 2010 Publication Cancer Causes & Control : CCC Abbreviated Journal Cancer Causes Control  
  Volume 21 Issue 12 Pages 2059-2068  
  Keywords Adult; Birth Rate; Breast Neoplasms/*epidemiology/etiology; Carcinoma/*epidemiology/etiology; Circadian Rhythm/*physiology; Cohort Studies; Electricity; Female; Humans; Incidence; *Light/adverse effects; Lighting; Photoperiod; Registries; Urban Population/statistics & numerical data; World Health; oncogenesis  
  Abstract Breast cancer incidence varies widely among countries of the world for largely unknown reasons. We investigated whether country-level light at night (LAN) is associated with incidence. We compared incidence rates of five common cancers in women (breast, lung, colorectal, larynx, and liver), observed in 164 countries of the world from the GLOBOCAN database, with population-weighted country-level LAN, and with several developmental and environmental indicators, including fertility rate, per capita income, percent of urban population, and electricity consumption. Two types of regression models were used in the analysis: Ordinary Least Squares and Spatial Errors. We found a significant positive association between population LAN level and incidence rates of breast cancer. There was no such an association between LAN level and colorectal, larynx, liver, and lung cancers. A sensitivity test, holding other variables at their average values, yielded a 30-50% higher risk of breast cancer in the highest LAN exposed countries compared to the lowest LAN exposed countries. The possibility that under-reporting from the registries in the low-resource, and also low-LAN, countries created a spurious association was evaluated in several ways and shown not to account for the results. These findings provide coherence of the previously reported case-control and cohort studies with the co-distribution of LAN and breast cancer in entire populations.  
  Address Department of Natural Resources & Environmental Management, University of Haifa, 31905 Mount Carmel, Haifa, Israel  
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  Language English Summary Language Original Title  
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  Series Volume Series Issue Edition  
  ISSN 0957-5243 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:20680434 Approved no  
  Call Number IDA @ john @ Serial 160  
Permanent link to this record
 

 
Author (up) Kuechly, H.U.; Kyba, C.C.M.; Ruhtz, T.; Lindemann, C.; Wolter, C.; Fischer, J.; Hölker, F. url  doi
openurl 
  Title Aerial survey and spatial analysis of sources of light pollution in Berlin, Germany Type Journal Article
  Year 2012 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume 126 Issue Pages 39-50  
  Keywords Light pollution; Artificial lighting; Urban analysis; Remote sensing; GIS; Darkness; Spatial analysis; Light at night  
  Abstract Aerial observations of light pollution can fill an important gap between ground based surveys and nighttime satellite data. Terrestrially bound surveys are labor intensive and are generally limited to a small spatial extent, and while existing satellite data cover the whole world, they are limited to coarse resolution. This paper describes the production of a high resolution (1 m) mosaic image of the city of Berlin, Germany at night. The dataset is spatially analyzed to identify the major sources of light pollution in the city based on urban land use data. An area-independent ‘brightness factor’ is introduced that allows direct comparison of the light emission from differently sized land use classes, and the percentage area with values above average brightness is calculated for each class. Using this methodology, lighting associated with streets has been found to be the dominant source of zenith directed light pollution (31.6%), although other land use classes have much higher average brightness. These results are compared with other urban light pollution quantification studies. The minimum resolution required for an analysis of this type is found to be near 10 m. Future applications of high resolution datasets such as this one could include: studies of the efficacy of light pollution mitigation measures, improved light pollution simulations, economic and energy use, the relationship between artificial light and ecological parameters (e.g. circadian rhythm, fitness, mate selection, species distributions, migration barriers and seasonal behavior), or the management of nightscapes. To encourage further scientific inquiry, the mosaic data is freely available at Pangaea: http://dx.doi.org/10.1594/PANGAEA.785492.  
  Address Freie Universität Berlin, Department of Earth Sciences, Institute for Space Sciences, Carl-Heinrich-Becker-Weg 6‐10, 12165 Berlin, Germany  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0034-4257 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ john @ Serial 188  
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Author (up) Levin, N.; Duke, Y. url  doi
openurl 
  Title High spatial resolution night-time light images for demographic and socio-economic studies Type Journal Article
  Year 2012 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume 119 Issue Pages 1-10  
  Keywords Night-time lights; DMSP; SAC-C; ISS; Israel; Urban structure; light at night; light pollution; remote sensing; DMSP-OLS  
  Abstract Satellite derived night-time lights have been used to study global economic and demographic differences between countries. The majority of studies to date have used the coarse spatial resolution datasets of the Defense Meteorological Satellite Program (DMSP). In this study, we hypothesize that night-time lights can serve as an indicator for demographic and socio-economic properties of built-up areas at a local scale. We used night-time light images acquired by the American DMSP (2003, 2.7 km), Argentinean SAC-C (2007, 300 m) and photographs taken by astronauts from the International Space Station (ISS; 2003, 60 m). We compared the night-time lights of built-up areas based on their geographical location (Israel and the West Bank) and their population (Jewish and Arab). Israeli localities were better lit than West Bank localities, corresponding to the difference in the gross domestic product of the two entities. No difference was found in the night-time lights brightness of Jewish and Arab localities within Israel. However, night-time lights of built-up areas with a Jewish population within Israel and the West Bank were positively correlated with population density and roads density. In contrast, built-up areas with an Arab population had weaker correlations. Differences in the urban structure of Jewish and Arab built-up areas, as well as economic and geopolitical differences between Israel and the West Bank led to the observed differences in night-time lights patterns. Demographic and infrastructure data were able to explain 60% of the spatial variation of the ISS night-time lights, compared with only 28% of the spatial variation of the DMSP night-time lights dataset. The results of this study demonstrate potential uses of night-time lights databases of high spatial resolution, and emphasize the need for a dedicated night-time lights observing satellite.  
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  ISSN 0034-4257 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ john @ Serial 218  
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Author (up) Liu, Z.; He, C.; Zhang, Q.; Huang, Q.; Yang, Y. url  doi
openurl 
  Title Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008 Type Journal Article
  Year 2012 Publication Landscape and Urban Planning Abbreviated Journal Landscape and Urban Planning  
  Volume 106 Issue 1 Pages 62-72  
  Keywords China; DMSP-OLS; Information extraction; Nighttime stable light; Urban expansion; remote sensing  
  Abstract Timely and accurate information about the dynamics of urban expansion is vital to reveal the relationships between urban expansion and the ecosystem, to optimize land use patterns, and to promote the effective development of cities in China. Nighttime stable light data from the Defense Meteorological Satellite Program's Operational Line-scan System (DMSP-OLS) Nighttime Lights Time Series dataset provide a new source of information that can quickly reveal the dynamics of urban expansion. However, the DMSP-OLS sensor has no on-board calibration, which makes it difficult to directly compare time series data from multiple satellites. This study developed a new method for systematically correcting multi-year multi-satellite nighttime stable lights data and rapidly extracting the dynamics of urban expansion based on this corrected data for China from 1992 to 2008. The results revealed that the proposed method effectively reduced abnormal discrepancy within the nighttime stable light data and improved continuity and comparability. The dynamics of urban expansion in China from 1992 to 2008 were extracted with an average overall accuracy of 82.74% and an average Kappa of 0.40.  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0169-2046 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ john @ Serial 205  
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Author (up) Ma, T.; Zhou, C.; Pei, T.; Haynie, S.; Fan, J. url  doi
openurl 
  Title Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China's cities Type Journal Article
  Year 2012 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume 124 Issue Pages 99-107  
  Keywords Urbanization; DMSP-OLS; Nighttime light; Statistical analysis; China; remote sensing; satellite; light at night  
  Abstract Urbanization process involving increased population size, spatially extended land cover and intensified economic activity plays a substantial role in anthropogenic environment changes. Remotely sensed nighttime lights datasets derived from the Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) provide a consistent measure for characterizing trends in urban sprawl over time (Sutton, 2003). The utility of DMSP/OLS imagery for monitoring dynamics in human settlement and economic activity at regional to global scales has been widely verified in previous studies through statistical correlations between nighttime light brightness and demographic and economic variables ( and ). The quantitative relationship between long-term nighttime light signals and urbanization variables, required for extensive application of DMSP/OLS data for estimating and projecting the trajectory of urban development, however, are not well addressed for individual cities at a local scale. We here present analysis results concerning quantitative responses of stable nighttime lights derived from time series of DMSP/OLS imagery to changes in urbanization variables during 1994–2009 for more than 200 prefectural-level cities and municipalities in China. To identify the best-fitting model for nighttime lights-based measurement of urbanization processes with different development patterns, we comparatively use three regression models: linear, power-law and exponential functions to quantify the long-term relationships between nighttime weighted light area and four urbanization variables: population, gross domestic product (GDP), built-up area and electric power consumption. Our results suggest that nighttime light brightness could be an explanatory indicator for estimating urbanization dynamics at the city level. Various quantitative relationships between urban nighttime lights and urbanization variables may indicate diverse responses of DMSP/OLS nighttime light signals to anthropogenic dynamics in urbanization process in terms of demographic and economic variables. At the city level, growth in weighted lit area may take either a linear, concave (exponential) or convex (power law) form responsive to expanding human population and economic activities during urbanization. Therefore, in practice, quantitative models for using DMSP/OLS data to estimate urbanization dynamics should vary with different patterns of urban development, particularly for cities experiencing rapid urban growth at a local scale.  
  Address  
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  Series Volume Series Issue Edition  
  ISSN 0034-4257 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ john @ Serial 219  
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