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Li, X.; Li, X.; Li, D.; He, X.; Jendryke, M. |
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Title  |
A preliminary investigation of Luojia-1 night-time light imagery |
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Journal Article |
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2019 |
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Remote Sensing Letters |
Abbreviated Journal |
Remote Sensing Letters |
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10 |
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6 |
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526-535 |
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Remote Sensing; Instrumentation |
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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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GFZ @ kyba @ |
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2199 |
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Christie, S.; Vincent, A.D.; Li, H.; Frisby, C.L.; Kentish, S.J.; O'Rielly, R.; Wittert, G.A.; Page, A.J. |
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Title |
A rotating light cycle promotes weight gain and hepatic lipid storage in mice |
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Journal Article |
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2018 |
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American Journal of Physiology. Gastrointestinal and Liver Physiology |
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Am J Physiol Gastrointest Liver Physiol |
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in press |
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Animals |
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Processes involved in regulation of energy balance and intermediary metabolism are aligned to the light-dark cycle. Shift-work and high fat diet (HFD)-induced obesity disrupt circadian rhythmicity and are associated with increased risk of non-alcoholic fatty liver disease (NAFLD). This study aimed to determine the effect of simulating shift work on hepatic lipid accumulation in lean and HFD-mice. C57BL/6 mice fed a standard laboratory diet (SLD) or HFD for 4wks were further allocated to a normal light (NL)-cycle (lights on:0600-1800hr) or rotating light (RL)-cycle (3-days NL and 4-days reversed (lights on:1800-0600hr) repeated) for 8wks. Tissue was collected every 3hrs beginning at 0600hr. HFD-mice gained more weight than SLD-mice, and RL-mice gained more weight than NL-mice. SLD-NL and HFD-NL mice, but not RL-mice, were more active, had higher respiratory quotients and consumed/expended more energy during the dark phase compared to the light phase. Blood glucose and plasma cholesterol and triglyceride concentrations were elevated in HFD and SLD-RL compared to SLD-NL mice. Hepatic glycogen was elevated in HFD compared to SLD-mice. Hepatic triglycerides were elevated in SLD-RL and HFD-mice compared to SLD-NL. Circadian rhythmicity of hepatic acetyl-CoA carboxylase (ACACA) mRNA was phase shifted in SLD-RL and HFD-NL and lost in HFD-RL mice. Hepatic ACACA protein was reduced in SLD-RL and HFD-mice compared to SLD-NL mice. Hepatic adipose triglyceride lipase was elevated in HFD-NL compared to SLD-NL but lower in RL-mice compared to NL-mice irrespective of diet. -Conclusion: A RL-cycle model of shift-work promotes weight gain and hepatic lipid storage even in lean conditions. |
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Adelaide Medical School, University of Adelaide, Australia |
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0193-1857 |
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PMID:30188750 |
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2123 |
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Cottam, C. |
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A shower of grebes |
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1929 |
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The Condor |
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31 |
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1 |
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80-81 |
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Animals; Birds |
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GFZ @ kyba @ |
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2424 |
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Treanor, P. J. |
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Title |
A simple propagation law for artificial night-sky illumination |
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1973 |
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The Observatory |
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93 |
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117-120 |
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Skyglow |
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The problem of locating new large astronomical observatories in sites which have a suitably dark night sky (artificial excess of the order of omi) is becoming increasingly difficult in Europe and the United States, on account of extensive urban development, the high luminous efficiency of modern discharge lighting, and the scattering of light in an atmosphere contaminated by aerosols. To investigate the artificial illumination of the sky over large regions on the basis of necessarily limited observations, one needs an expression for the zenith brightness produced by towns of known site and distance.
The exact derivation of such a law is exceedingly complex, involving the computation of the radiation transfer in an atmosphere with absorption, multiple scattering, and complicated physical and geometrical parameters. Notwithstanding these difficulties, it is possible to obtain a useful physical insight into the general form of this law by considering a very simplified model, consisting of a homogeneous atmosphere, in which vertical heights are small in relation to the horizontal distances between town and observatory, and which the scattering is limited to a cone of small angle whose axis lies in the direction of the incident beam. The limited scale height and optical thickness of the real atmosphere, and the forward-scattering characteristics of aerosols lend some plausibility to these simplifications. |
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IDA @ intern @ |
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2633 |
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Cao, X.; Hu, Y.; Zhu, X.; Shi, F.; Zhuo, L.; Chen, J. |
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Title |
A simple self-adjusting model for correcting the blooming effects in DMSP-OLS nighttime light images |
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Journal Article |
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2019 |
Publication |
Remote Sensing of Environment |
Abbreviated Journal |
Remote Sensing of Environment |
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224 |
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401-411 |
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Remote Sensing |
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Night-time light (NTL) data from the Defense Meteorological Satellite Program (DMSP) Operation Linescan System (OLS) provide important observations of human activities; however, DMSP-OLS NTL data suffer from problems such as saturation and blooming. This research developed a self-adjusting model (SEAM) to correct blooming effects in DMSP-OLS NTL data based on a spatial response function and without using any ancillary data. By assuming that the pixels adjacent to the background contain no lights (i.e., pseudo light pixels, PLPs), the blooming effect intensity, a parameter in the SEAM model, can be estimated by pixel-based regression using PLPs and their neighboring light sources. SEAM was applied to all of China, and its performance was assessed for twelve cities with different population sizes. The results show that SEAM can largely reduce the blooming effect in the original DMSP-OLS dataset and enhance its quality. The images after blooming effect correction have higher spatial similarity with Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (VIIRS) images and higher spatial variability than the original DMSP-OLS data. We also found that the average effective blooming distance is approximately 3.5 km in China, which may be amplified if the city is surrounded by water surfaces, and that the blooming effect intensity is positively correlated to atmospheric quality. The effectiveness of the proposed model will improve the capacity of DMSP-OLS images for mapping the urban extent and modeling socioeconomic parameters. |
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0034-4257 |
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GFZ @ kyba @ |
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2239 |
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