| Records |
| Author |
Eisenbeis, G. |
| Title |
Künstliches Licht und Insekten: eine vergleichende Studie in Rheinhessen |
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Journal Article |
| Year |
2001 |
Publication |
Schriftenreihe Landespflege Naturschutz |
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| Volume |
67 |
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Pages |
75-100 |
| Keywords |
Ecology; Animals |
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LoNNe @ christopher.kyba @ |
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481 |
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| Author |
Roychowdhury, K.; Jones, S.; Arrowsmith, C.; Reinke, K. |
| 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 |
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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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LoNNe @ christopher.kyba @ |
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490 |
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Zamorano Calvo, J.; Sánchez de Miguel, A.; Pascual RamÃrez, S.; Gómez Castaño, J.; RamÃrez Moreta, P.; Challupner, P. |
| Title |
ISS nocturnal images as a scientific tool against Light Pollution |
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Journal Article |
| Year |
2011 |
Publication |
Unpublished working paper submitted to NASA JSC Imaging Lab |
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Remote Sensing |
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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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LoNNe @ christopher.kyba @ |
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492 |
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Elvidge, C.D.; Baugh, K.E.; Kihn, E.A.; Kroehl, H.W.; Davis, E.R. |
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Mapping city lights with night-time data from the DMSP operational linescan system. |
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Journal Article |
| Year |
1997 |
Publication |
Photogrammetric Engineering and Remote Sensing |
Abbreviated Journal |
ISPRS Journal of Photogrammetry and Remote Sensing |
| Volume |
63 |
Issue |
6 |
Pages |
727-734 |
| Keywords |
Remote Sensing |
| Abstract |
The Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) has a unique capability to detect low levels of visible and near-infrared (VNIR) radiance at
night. With the OLS “VIS” band data, it is possible to detect clouds illuminated by moonlight, plus lights from cities, towns, industrial sites, gas pares, and ephemeral events such as fires and lightning illuminated clouds. This paper presents methods which have been developed for detecting and geolocating VNIR emission sources with nighttime DMSP-OLS data and the analysis of image time series to identify spatially stable emissions from cities, towns, and industrial sites. Results are presented for the United States. |
| Address |
Desert Research Institute, University of Nevada System, Reno, NV 89506 and the Solar-Terrestrial Physics Division, National Oceanic and Atmospheric Administration, National Geophysical Data Center, 325 Broadway, Boulder, CO 80303; cde(at)ngdc.noaa.gov |
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American Society for Photogrammetry and Remote Sensing |
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English |
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English |
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LoNNe @ christopher.kyba @ |
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497 |
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Wright, K.P.J.; McHill, A.W.; Birks, B.R.; Griffin, B.R.; Rusterholz, T.; Chinoy, E.D. |
| Title |
Entrainment of the human circadian clock to the natural light-dark cycle |
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Journal Article |
| Year |
2013 |
Publication |
Current Biology : CB |
Abbreviated Journal |
Curr Biol |
| Volume |
23 |
Issue |
16 |
Pages |
1554-1558 |
| Keywords |
Human Health; Adult; Circadian Clocks/*radiation effects; Female; Humans; *Lighting; Male; *Photoperiod; *Sunlight; Young Adult; Circadian Rhythm |
| Abstract |
The electric light is one of the most important human inventions. Sleep and other daily rhythms in physiology and behavior, however, evolved in the natural light-dark cycle [1], and electrical lighting is thought to have disrupted these rhythms. Yet how much the age of electrical lighting has altered the human circadian clock is unknown. Here we show that electrical lighting and the constructed environment is associated with reduced exposure to sunlight during the day, increased light exposure after sunset, and a delayed timing of the circadian clock as compared to a summer natural 14 hr 40 min:9 hr 20 min light-dark cycle camping. Furthermore, we find that after exposure to only natural light, the internal circadian clock synchronizes to solar time such that the beginning of the internal biological night occurs at sunset and the end of the internal biological night occurs before wake time just after sunrise. In addition, we find that later chronotypes show larger circadian advances when exposed to only natural light, making the timing of their internal clocks in relation to the light-dark cycle more similar to earlier chronotypes. These findings have important implications for understanding how modern light exposure patterns contribute to late sleep schedules and may disrupt sleep and circadian clocks. |
| Address |
Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309-0354, USA. kenneth.wright@colorado.edu |
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English |
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0960-9822 |
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PMID:23910656; PMCID:PMC4020279 |
Approved |
no |
| Call Number |
LoNNe @ christopher.kyba @ |
Serial |
505 |
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