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Author Aubrecht, C.; Stojan-Dolar, M.; de Sherbinin, A.; Jaiteh, M.; Longcore, T.; Elvidge, C.
Title Lighting governance for protected areas and beyond – Identifying the urgent need for sustainable management of artificial light at night Type Journal Article
Year 2010 Publication Earthzine Abbreviated Journal
Volume Issue Pages e61460
Keywords Editorial
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Call Number LoNNe @ christopher.kyba @ Serial 465
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Author Eisenbeis, G.
Title Künstliches Licht und Insekten: eine vergleichende Studie in Rheinhessen Type Journal Article
Year 2001 Publication Schriftenreihe Landespflege Naturschutz Abbreviated Journal
Volume 67 Issue Pages 75-100
Keywords Ecology; Animals
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Call Number LoNNe @ christopher.kyba @ Serial 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 Abbreviated Journal
Volume Issue 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.
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 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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Call Number LoNNe @ christopher.kyba @ Serial 492
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Author Elvidge, C.D.; Baugh, K.E.; Kihn, E.A.; Kroehl, H.W.; Davis, E.R.
Title Mapping city lights with night-time data from the DMSP operational linescan system. Type 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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Call Number LoNNe @ christopher.kyba @ Serial 497
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