Records |
Author |
Coesfeld, J.; Anderson, S.; Baugh, K.; Elvidge, C.; Schernthanner, H.; Kyba, C. |
Title |
Variation of Individual Location Radiance in VIIRS DNB Monthly Composite Images |
Type |
Journal Article |
Year |
2018 |
Publication |
Remote Sensing |
Abbreviated Journal |
Remote Sensing |
Volume |
10 |
Issue |
12 |
Pages |
1964 |
Keywords |
Remote Sensing; Instrumentation |
Abstract |
With the growing size and use of night light time series from the Visible Infrared Imaging Radiometer Suite Day/Night Band (DNB), it is important to understand the stability of the dataset. All satellites observe differences in pixel values during repeat observations. In the case of night light data, these changes can be due to both environmental effects and changes in light emission. Here we examine the stability of individual locations of particular large scale light sources (e.g., airports and prisons) in the monthly composites of DNB data from April 2012 to September 2017. The radiances for individual pixels of most large light emitters are approximately normally distributed, with a standard deviation of typically 15–20% of the mean. Greenhouses and flares, however, are not stable sources. We observe geospatial autocorrelation in the monthly variations for nearby sites, while the correlation for sites separated by large distances is small. This suggests that local factors contribute most to the variation in the pixel radiances and furthermore that averaging radiances over large areas will reduce the total variation. A better understanding of the causes of temporal variation would improve the sensitivity of DNB to lighting changes. |
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2072-4292 |
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GFZ @ kyba @ |
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2129 |
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Author |
Jechow, A.; Kolláth, Z.; Lerner, A.; Hänel, A.; Shashar, N.; Hölker, F.; Kyba, C.C.M. |
Title |
Measuring Light Pollution with Fisheye Lens Imagery from A Moving Boat–A Proof of Concept |
Type |
Journal Article |
Year |
2017 |
Publication |
International Journal of Sustainable Lighting |
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Volume |
19 |
Issue |
1 |
Pages |
15-25 |
Keywords |
Skyglow; Instrumentation |
Abstract |
Near all-sky imaging photometry was performed from a boat on the Gulf of Aqaba to measure the night sky brightness in a coastal environment. The boat was not anchored, and therefore drifted and rocked. The camera was mounted on a tripod without any inertia/motion stabilization. A commercial digital single lens reflex (DSLR) camera and fisheye lens were used with ISO setting of 6400, with the exposure time varied between 0.5 s and 5 s. We find that despite movement of the vessel the measurements produce quantitatively comparable results apart from saturation effects. We discuss the potential and limitations of this method for mapping light pollution in marine and freshwater systems. This work represents the proof of concept that all-sky photometry with a commercial DSLR camera is a viable tool to determine light pollution in an ecological context from a moving boat. |
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GFZ @ kyba @ |
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2151 |
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Author |
Bará, S. |
Title |
Characterizing the zenithal night sky brightness in large territories: how many samples per square kilometre are needed? |
Type |
Journal Article |
Year |
2017 |
Publication |
Monthly Notices of the Royal Astronomical Society |
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Volume |
473 |
Issue |
3 |
Pages |
4164-4173 |
Keywords |
Instrumentation; atmospheric effects; light pollution; numerical methods; photometry |
Abstract |
A recurring question arises when trying to characterize, by means of measurements or theoretical calculations, the zenithal night sky brightness throughout a large territory: how many samples per square kilometre are needed? The optimum sampling distance should allow reconstructing, with sufficient accuracy, the continuous zenithal brightness map across the whole region, whilst at the same time avoiding unnecessary and redundant oversampling. This paper attempts to provide some tentative answers to this issue, using two complementary tools: the luminance structure function and the Nyquist–Shannon spatial sampling theorem. The analysis of several regions of the world, based on the data from the New world atlas of artificial night sky brightness, suggests that, as a rule of thumb, about one measurement per square kilometre could be sufficient for determining the zenithal night sky brightness of artificial origin at any point in a region to within ±0.1 magV arcsec–2 (in the root-mean-square sense) of its true value in the Johnson–Cousins V band. The exact reconstruction of the zenithal night sky brightness maps from samples taken at the Nyquist rate seems to be considerably more demanding. |
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1Departamento de Física Aplicada, Universidade de Santiago de Compostela, E-15782 Santiago de Compostela, Galicia, Spain; salva.bara(at)usc.es |
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Oxford Academic |
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English |
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English |
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0035-8711 |
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IDA @ john @ |
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2164 |
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Sánchez de Miguel, A.; Kyba, C.C.M.; Aubé, M.; Zamorano, J.; Cardiel, N.; Tapia, C.; Bennie, J.; Gaston, K.J. |
Title |
Colour remote sensing of the impact of artificial light at night (I): The potential of the International Space Station and other DSLR-based platforms |
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Journal Article |
Year |
2019 |
Publication |
Remote Sensing of Environment |
Abbreviated Journal |
Remote Sensing of Environment |
Volume |
224 |
Issue |
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Pages |
92-103 |
Keywords |
Remote Sensing; Instrumentation |
Abstract |
Sensors on remote sensing satellites have provided useful tools for evaluation of the environmental impacts of nighttime artificial light pollution. However, due to their panchromatic nature, the data available from these sensors (VIIRS/DNB and DMSP/OLS) has a limited capacity accurately to assess this impact. Moreover, in some cases, recorded variations can be misleading. Until new satellite platforms and sensors are available, only nighttime images taken with DSLR cameras from the International Space Station (ISS), airplanes, balloons or other such platforms can provide the required information. Here we describe a theoretical approach using colour-colour diagrams to analyse images taken by astronauts on the ISS to estimate spatial and temporal variation in the spectrum of artificial lighting emissions. We then evaluate how this information can be used to determine effects on some key environmental indices: photopic vision, the Melatonin Suppression Index, the Star Light Index, the Induced Photosynthesis Index, production of NO2-NO radicals, energy efficiency and CO2 emissions, and Correlated Colour Temperature. Finally, we use the city of Milan as a worked example of the approach. |
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0034-4257 |
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GFZ @ kyba @ |
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2189 |
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Author |
Li, X.; Li, X.; Li, D.; He, X.; Jendryke, M. |
Title |
A preliminary investigation of Luojia-1 night-time light imagery |
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Journal Article |
Year |
2019 |
Publication |
Remote Sensing Letters |
Abbreviated Journal |
Remote Sensing Letters |
Volume |
10 |
Issue |
6 |
Pages |
526-535 |
Keywords |
Remote Sensing; Instrumentation |
Abstract |
Launched on 2 June 2018, Luojia-1 satellite records night-time light imagery at 130 m resolution, which is higher than most of the existing night-time light images to date. This study evaluated radiometric and spatial properties of the Luojia-1 satellite imagery for cities of Los Angeles, Wuhan and Rome as well as the change detection capability for Zunyi city. For the radiometric property, the analysis shows that the Luojia-1 images correlate well with the radiance of the Visible Infrared Imaging Radiometer Suite (VIIRS)’s Day and Night Band (DNB), and that the Luojia-1 images have a wider range of radiance values, as well as higher radiance values (e.g., 40%–90% higher) than the VIIRS DNB images. Using wavelet decomposition and change detection analysis to evaluate spatial property and change detection capability, it was found that the Luojia-1 images provide abundant spatial detail information, with about 20%–54% energy of wavelet component of the images stored in 100–400 m resolutions, and they can help to track the electrification of new roads and buildings at a fine resolution. This study shows that the Luojia-1 images are an effective data source for analysing spatiotemporal distribution of night-time light and its associated socioeconomic attributes. |
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2150-704X |
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GFZ @ kyba @ |
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2199 |
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