Cinzano, P., Falchi, F., & Elvidge, C. D. (2001). Naked-eye star visibility and limiting magnitude mapped from DMSP-OLS satellite data. Monthly Notices of the Royal Astronomical Society, 323(1), 34–46.
Abstract: We extend the method introduced by Cinzano et al. (2000a) to map the artificial sky brightness in large territories from DMSP satellite data, in order to map the naked eye star visibility and telescopic limiting magnitudes. For these purposes we take into account the altitude of each land area from GTOPO30 world elevation data, the natural sky brightness in the chosen sky direction, based on Garstang modelling, the eye capability with naked eye or a telescope, based on the Schaefer (1990) and Garstang (2000b) approach, and the stellar extinction in the visual photometric band. For near zenith sky directions we also take into account screening by terrain elevation. Maps of naked eye star visibility and telescopic limiting magnitudes are useful to quantify the capability of the population to perceive our Universe, to evaluate the future evolution, to make cross correlations with statistical parameters and to recognize areas where astronomical observations or popularisation can still acceptably be made. We present, as an application, maps of naked eye star visibility and total sky brightness in V band in Europe at the zenith with a resolution of approximately 1 km.
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Doll, C. N. H., Muller, J. - P., & Morley, J. G. (2006). Mapping regional economic activity from night-time light satellite imagery. Ecological Economics, 57(1), 75–92.
Abstract: The recognition that the elements of the ‘anthropocene’ play a critical role in global change processes means that datasets describing elements of the socio-economic environment are becoming increasingly more desirable. The ability to present these data in a gridded format as opposed to the traditionally reported administrative units is advantageous for incorporation with other environmental datasets. Night-time light remote sensing data has been shown to correlate with national-level figures of Gross Domestic Product (GDP). Night-time radiance data is analysed here along with regional economic productivity data for 11 European Union countries along with the United States at a number of sub-national levels. Night-time light imagery was found to correlate with Gross Regional Product (GRP) across a range of spatial scales. Maps of economic activity at 5 km resolution were produced based on the derived relationships. To produce these maps, certain areas had to be excluded due to their anomalously high levels of economic activity for the amount of total radiance present. These areas were treated separately from other areas in the map. These results provide the first detailed examination of night-time light characteristics with respect to local economic activity and highlight issues, which should be considered when undertaking such analysis.
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Elsahragty, M., & Kim, J. - L. (2015). Assessment and Strategies to Reduce Light Pollution Using Geographic Information Systems. Procedia Engineering, 118, 479–488.
Abstract: Light pollution is a negative lighting condition because it prevents views of the night sky from the general population and astronomers. As a solution to light pollution, proper lighting system design is vital. The location, mounting height, and aim of exterior luminaries need to be taken into consideration for efficient use of lighting energy. In line with the effort, this paper presents the assessment results on light pollution at the port area, which is one of the brightest spots on Earth. In doing so, a GIS model is created to determine the level of light pollution at the study areas. The lighting power densities of ASHRAE 90.1-2007 are applied in order to find a way to reduce the level of light pollution. The effect of light pollution generated from the Long Beach Port area is examined by comparing against the sky glow generated from the Port of Long Beach area and other areas throughout the coast of Southern California, as well as comparing how deep the sky glow penetrates the ocean. The results are validated by comparing against the lighting specification used in the study areas. The lighting strategies proposed include the decreased height of light poles and increased spacing between light poles. This study will serve as a platform in which future researchers may continue and expand on the designs of heights and spaces of lighting poles in order to make severe light pollution areas better sustainable places.
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Hale, J. D., Davies, G., Fairbrass, A. J., Matthews, T. J., Rogers, C. D. F., & Sadler, J. P. (2013). Mapping lightscapes: spatial patterning of artificial lighting in an urban landscape. PLoS One, 8(5), e61460.
Abstract: Artificial lighting is strongly associated with urbanisation and is increasing in its extent, brightness and spectral range. Changes in urban lighting have both positive and negative effects on city performance, yet little is known about how its character and magnitude vary across the urban landscape. A major barrier to related research, planning and governance has been the lack of lighting data at the city extent, particularly at a fine spatial resolution. Our aims were therefore to capture such data using aerial night photography and to undertake a case study of urban lighting. We present the finest scale multi-spectral lighting dataset available for an entire city and explore how lighting metrics vary with built density and land-use. We found positive relationships between artificial lighting indicators and built density at coarse spatial scales, whilst at a local level lighting varied with land-use. Manufacturing and housing are the primary land-use zones responsible for the city's brightly lit areas, yet manufacturing sites are relatively rare within the city. Our data suggests that efforts to address light pollution should broaden their focus from residential street lighting to include security lighting within manufacturing areas.
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Schroer, S., Felsmann, K., Hölker, F., Mummert, S., Monaghan, M. T., Wurzbacher, C., et al. (2016). The impact of outdoor lighting on ecosystem function – gaining information with a Citizen Science approach using a questionnaire. In Austrian Citizen Science Conference (pp. 8–13). Frontiers.
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