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Jechow, A.; Hölker, F.; Kolláth, Z.; Gessner, M.O.; Kyba, C.C.M. |
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Title |
Evaluating the summer night sky brightness at a research field site on Lake Stechlin in northeastern Germany |
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Journal Article |
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Year |
2016 |
Publication |
Journal of Quantitative Spectroscopy and Radiative Transfer |
Abbreviated Journal |
Journal of Quantitative Spectroscopy and Radiative Transfer |
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181 |
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24-32 |
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Skyglow |
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Abstract |
We report on luminance measurements of the summer night sky at a field site on a freshwater lake in northeastern Germany (Lake Stechlin) to evaluate the amount of artificial skyglow from nearby and distant towns in the context of a planned study on light pollution. The site is located about 70 km north of Berlin in a rural area possibly belonging to one of the darkest regions in Germany. Continuous monitoring of the zenith sky luminance between June and September 2015 was conducted utilizing a Sky Quality Meter. With this device, typical values for clear nights in the range of 21.5–21.7 magSQM/arcsec2 were measured, which is on the order of the natural sky brightness during starry nights. On overcast nights, values down to 22.84 magSQM/arcsec2 were obtained, which is about one third as bright as on clear nights. The luminance measured on clear nights as well as the darkening with the presence of clouds indicate that there is very little influence of artificial skyglow on the zenith sky brightness at this location. Furthermore, fish-eye lens sky imaging luminance photometry was performed with a digital single-lens reflex camera on a clear night in the absence of moonlight. The photographs unravel several distant towns as possible sources of light pollution on the horizon. However, the low level of artificial skyglow makes the field site at Lake Stechlin an excellent location to study the effects of skyglow on a lake ecosystem in a controlled fashion. |
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0022-4073 |
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LoNNe @ kyba @; GFZ @ kyba @ |
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1354 |
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Kotarba, A.Z.; Aleksandrowicz, S. |
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Title |
Impervious surface detection with nighttime photography from the International Space Station |
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Journal Article |
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2016 |
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Remote Sensing of Environment |
Abbreviated Journal |
Remote Sensing of Environment |
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176 |
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295-307 |
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Remote Sensing |
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For over two decades nighttime satellite imagery from the Operational Linescan System (OLS) has been used to detect impervious surfaces. However, OLS-based maps suffer from the sensor's coarse resolution (2.7 km/pixel), overglow, and saturation in urban areas, resulting in inaccurate estimates of the extent and degree of impervious surfaces. In order to provide more reliable estimates of impervious surface extent, we used high resolution (~ 10 m/pixel) nighttime photography from the International Space Station (ISS). Focusing on the city of Berlin in Germany, we produced a map of the extent of impervious surfaces. Our classification was 85% accurate for both user and producer measures. Impervious surfaces omitted by ISS photography were mainly transit roads and airport runways, while green areas and water bodies within the city were falsely identified. An analysis based on ISS imagery classified 55.7% of the study area as impervious, which is only 3.9% less than ground truth (while the OLS-based estimate was 40% higher than ground truth). ISS imagery failed to provide reliable information about the degree of imperviousness for individual pixels (± 20% errors); nevertheless it accurately estimated the spatially-averaged degree of imperviousness for the whole study area (30.2% vs. the reference value of 30.1%). These results show that ISS photography is an important source of nighttime imagery for mapping the extent of impervious surfaces, and represents a considerable improvement over OLS capabilities. |
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LoNNe @ kyba @ |
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1356 |
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Katz, Y.; Levin, N. |
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Quantifying urban light pollution -- A comparison between field measurements and EROS-B imagery |
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2016 |
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Remote Sensing of Environment |
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Remote Sensing of Environment |
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177 |
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65-77 |
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Remote Sensing; Skyglow |
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0034-4257 |
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LoNNe @ kyba @ |
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1359 |
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Kocifaj, M.; Kómar, L. |
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A role of aerosol particles in forming urban skyglow and skyglow from distant cities |
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Journal Article |
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2016 |
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Monthly Notices of the Royal Astronomical Society |
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MNRAS |
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458 |
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1 |
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438-448 |
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Skyglow; scattering; atmospheric effects; artificial light; numerical modeling; GIS-based modeling; light pollution |
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Aerosol particles may represent the largest uncertainty about skyglow change in many locations under clear sky conditions. This is because aerosols are ubiquitous in the atmosphere and influence the ground-reaching radiation in different ways depending on their concentrations, origins, shapes, sizes, and compositions. Large particles tend to scatter in Fraunhofer diffraction regime, while small particles can be treated in terms of Rayleigh formalism. However, the role of particle microphysics in forming the skyglow still remains poorly quantified. We have shown in this paper that the chemistry is somehow important for backscattering from large particles that otherwise work as efficient attenuators of light pollution if composed of absorbing materials. The contribution of large particles to the urban skyglow diminishes as they become more spherical in shape. The intensity of backscattering from non-absorbing particles is more-or-less linearly decreasing function of particle radius even if number size distribution is inversely proportional to the fourth power of particle radius. This is due to single particle backscattering that generally increases steeply as the particle radius approaches large values. Forward scattering depends on the particle shape but is independent of the material composition, thus allowing for a simplistic analytical model of skyglow from distant cities. The model we have developed is based on mean value theorem for integrals and incorporates the parametrizable Garstang's emission pattern, intensity decay along optical beam path, and near-forward scattering in an atmospheric environment. Such model can be used by modellers and experimentalists for rapid estimation of skyglow from distant light sources. |
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ICA, Slovak Academy of Sciences, Dúbravská Road 9, 845 03 Bratislava, Slovak Republic; kocifaj(at)savba.sk |
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Oxford Journals |
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English |
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English |
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IDA @ john @ |
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1361 |
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Author |
Kim, Y.J.; Park, M.S.; Lee, E.; Choi, J.W. |
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Title |
High Incidence of Breast Cancer in Light-Polluted Areas with Spatial Effects in Korea |
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Journal Article |
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2016 |
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Asian Pacific Journal for Cancer Prevention |
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Asian Pac J Cancer Prev |
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17 |
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1 |
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361-367 |
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Human Health; Light pollution; breast cancer; spatial analysis; intrinsic conditional autoregressive model |
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We have reported a high prevalence of breast cancer in light-polluted areas in Korea. However, it is necessary to analyze the spatial effects of light polluted areas on breast cancer because light pollution levels are correlated with region proximity to central urbanized areas in studied cities. In this study, we applied a spatial regression method (an intrinsic conditional autoregressive [iCAR] model) to analyze the relationship between the incidence of breast cancer and artificial light at night (ALAN) levels in 25 regions including central city, urbanized, and rural areas. By Poisson regression analysis, there was a significant correlation between ALAN, alcohol consumption rates, and the incidence of breast cancer. We also found significant spatial effects between ALAN and the incidence of breast cancer, with an increase in the deviance information criterion (DIC) from 374.3 to 348.6 and an increase in R² from 0.574 to 0.667. Therefore, spatial analysis (an iCAR model) is more appropriate for assessing ALAN effects on breast cancer. To our knowledge, this study is the first to show spatial effects of light pollution on breast cancer, despite the limitations of an ecological study. We suggest that a decrease in ALAN could reduce breast cancer more than expected because of spatial effects. |
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Department of Preventive Medicine, College of Medicine, Korea University, Seoul, Korea; eunil(at)korea.ac.kr. |
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Asian Pacific Organization for Cancer Prevention |
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Korea |
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English |
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English |
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IDA @ john @ |
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1362 |
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