toggle visibility Search & Display Options

Select All    Deselect All
 |   | 
Details
   print
  Records Links
Author Netzel, H.; Netzel, P. url  doi
openurl 
  Title High-resolution map of light pollution Type Journal Article
  Year 2018 Publication Journal of Quantitative Spectroscopy and Radiative Transfer Abbreviated Journal Journal of Quantitative Spectroscopy and Radiative Transfer  
  Volume 221 Issue Pages 300-308  
  Keywords Skyglow  
  Abstract In 1976 Berry created a very simple model describing artificial night sky brightness due to light emitted by cities. He used several assumptions and simplifications, due to which, map calculated with this model does not properly describes the night sky brightness. Especially, this is the case for highly urbanized areas. We used Berry’s idea, but we changed some assumptions and used very different input data. As in Berry’s approach, we focused on total sky brightness and did not analyze spectral properties of artificial light emission. Resultant map has a resolution of 100 meters, and so far it is the most detailed map of night sky brightness. Moreover we included the shadowing effect, which is very important on mountainous areas. Map is calculated for Poland and for several other places in Europe. We also describe the comparison between calculated values and measurements for different areas in Europe. Also we present comparison between our approach and the new world atlas of artificial night sky brightness.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0022-4073 ISBN Medium  
  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number GFZ @ kyba @ Serial 1937  
Permanent link to this record
 

 
Author Fehrer, D.; Krarti, M. url  doi
openurl 
  Title Spatial distribution of building energy use in the United States through satellite imagery of the earth at night Type Journal Article
  Year 2018 Publication Building and Environment Abbreviated Journal Building and Environment  
  Volume 142 Issue Pages 252-264  
  Keywords remote sensing  
  Abstract Despite the importance of geospatial analysis of energy use in buildings, the data available for such exercises is limited. A potential solution is to use geospatial information, such as that obtained from satellites, to disaggregate building energy use data to a more useful scale. Many researchers have used satellite imagery to estimate the extent of human activities, including building energy use and population distribution. Much of the reported work has been carried out in rapidly developing countries such as India and China where urban development is dynamic and not always easy to measure. In countries with less rapid urbanization, such as the United States, there is still value in using satellite imagery to estimate building energy use for the purposes of identifying energy efficiency opportunities and planning electricity transmission. This study evaluates nighttime light imagery obtained from the VIIRS instrument aboard the SUOMI NPP satellite as a predictor of building energy use intensity within states, counties, and cities in the United States. It is found that nighttime lights can explain upwards of 90% of the variability in energy consumption in the United States, depending on conditions and geospatial scale. The results of this research are used to generate electricity and fuel consumption maps of the United States with a resolution of less than 200 square meters. The methodologies undertaken in this study can be replicated globally to create more opportunities for geospatial energy analysis without the hurdles often associated with disaggregated building energy use data collection.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0360-1323 ISBN Medium  
  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number GFZ @ kyba @ Serial 1938  
Permanent link to this record
 

 
Author Grubisic, M.; Van Grunsven, R.H.A.; Kyba, C.C.M.; Manfrin, A.; Hölker, F. openurl 
  Title Insect declines and agroecosystems: does light pollution matter? Type Journal Article
  Year 2018 Publication Annals of Applied Biology Abbreviated Journal Ann. of Appl. Biol.  
  Volume 173 Issue 1 Pages 180-189  
  Keywords Animals; Ecology; Review  
  Abstract Drastic declines in insect populations, ‘Ecological Armageddon’, have recently gained increased attention in the scientific community, and are commonly considered to be the consequence of large‐scale factors such as land‐use changes, use of pesticides, climate change and habitat fragmentation. Artificial light at night (ALAN), a pervasive global change that strongly impacts insects, remains, however, infrequently recognised as a potential contributor to the observed declines. Here, we provide a summary of recent evidence of impacts of ALAN on insects and discuss how these impacts can drive declines in insect populations in light‐polluted areas. ALAN can increase overall environmental pressure on insect populations, and this is particularly important in agroecosystems where insect communities provide important ecosystem services (such as natural pest control, pollination, conservation of soil structure and fertility and nutrient cycling), and are already under considerable environmental pressure. We discuss how changes in insect populations driven by ALAN and ALAN itself may hinder these services to influence crop production and biodiversity in agricultural landscapes. Understanding the contribution of ALAN and other factors to the decline of insects is an important step towards mitigation and the recovery of the insect fauna in our landscapes. In future studies, the role of increased nocturnal illumination also needs to be examined as a possible causal factor of insect declines in the ongoing ‘Ecological Armageddon’, along with the more commonly examined factors. Given the large scale of agricultural land use and the potential of ALAN to indirectly and directly impact crop production and biodiversity, a better understanding of effects of ALAN in agroecosystems is urgently needed.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number GFZ @ kyba @ Serial 1939  
Permanent link to this record
 

 
Author Benfield, J.A.; Nutt, R.J.; Taff, B.D.; Miller, Z.D.; Costigan, H.; Newman, P. url  doi
openurl 
  Title A laboratory study of the psychological impact of light pollution in National Parks Type Journal Article
  Year 2018 Publication Journal of Environmental Psychology Abbreviated Journal Journal of Environmental Psychology  
  Volume 57 Issue Pages 67-72  
  Keywords Conservation; Skyglow; Psychology  
  Abstract Light pollution is ubiquitous in much of the developed and developing world, including rural and wilderness areas. Other sources of pollution, such as noise or motorized vehicle emissions, are known to impact the perceived quality of natural settings as well as the psychological well-being and satisfaction of visitors to those locations, but the effects of light pollution on visitors to natural settings is largely unstudied. Using experimental manipulations of light pollution levels in virtual reality simulations of three U.S. National Parks, the current study aimed to provide initial evidence of an effect on visitors. Results show that light pollution impacts a range of psychological and scene evaluation dimensions but that pristine night skies are not necessarily viewed as the ideal, likely due to being viewed as unfamiliar or unrealistic because so few have experienced the true baseline.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0272-4944 ISBN Medium  
  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number GFZ @ kyba @ Serial 1941  
Permanent link to this record
 

 
Author Zheng, Q.; Weng, Q.; Huang, L.; Wang, K.; Deng, J.; Jiang, R.; Ye, Z.; Gan, M. url  doi
openurl 
  Title A new source of multi-spectral high spatial resolution night-time light imagery—JL1-3B Type Journal Article
  Year 2018 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume 215 Issue Pages 300-312  
  Keywords Remote Sensing  
  Abstract Artificial light at night (ALAN) provides a unique footprint of human activities and settlements. However, the adverse effects of ALAN on human health and ecosystems have not been well understood. Because of a lack of high resolution data, studies of ALAN in China have been confined to coarse resolution, and fine-scale details are missing. The fine details of ALAN are pertinent, because the highly dense population in Chinese cities has created a distinctive urban lighting pattern. In this paper, we introduced a new generation of high spatial resolution and multi-spectral night-time light imagery from the satellite JL1-3B. We examined its effectiveness for monitoring the spatial pattern and discriminating the types of artificial light based on a case study of Hangzhou, China. Specifically, local Moran's I analysis was applied to identify artificial light hotspots. Then, we analyzed the relationship between artificial light brightness and land uses at the parcel-level, which were generated from GF-2 imagery and open social datasets. Third, a machine learning based method was proposed to discriminate the type of lighting sources – between high pressure sodium lamps (HPS) and light-emitting diode lamps (LED) – by incorporating their spectral information and morphology feature. The result shows a complicated heterogeneity of illumination characteristics across different land uses, where main roads, commercial and institutional areas were brightly lit while residential area, industrial area and agricultural land were dark at night. It further shows that the proposed method was effective at separating light emitted by HPS and LED, with an overall accuracy and kappa coefficient of 83.86% and 0.67, respectively. This study demonstrates the effectiveness of JL1-3B and its superiority over previous night-time light data in detecting details of lighting objects and the nightscape pattern, and suggests that JL1-3B and alike could open up new opportunities for the advancement of night-time remote sensing.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0034-4257 ISBN Medium  
  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number GFZ @ kyba @ Serial 1945  
Permanent link to this record
Select All    Deselect All
 |   | 
Details
   print

Save Citations:
Export Records: