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Author Croft, T.A. url  doi
openurl 
  Title (up) Burning Waste Gas in Oil Fields Type Journal Article
  Year 1973 Publication Nature Abbreviated Journal Nature  
  Volume 245 Issue 5425 Pages 375-376  
  Keywords Remote Sensing  
  Abstract I WAS recently amazed by some night-time spacecraft photographs, exemplified by Fig. 1, that present graphic evidence of waste and pollution. These were obtained by the United States Air Force DAPP system which has sensors in the visible 0.4 to 1.1 µm band and an infrared imaging system in the 8 to 13 µm band (ref. 1 and J. L. McLucas, personal communication). The visible band sensor is Capable of responding to very dim light with a controllable threshold (T. O. Haig, personal communication) and it provided these pictures. The lights of cities are clearly visible, as are the aurora, surface features illuminated by moonlight, and fires such as those caused by burning gas from oil fields and refineries. Much power is evidently being generated to light the cities of the world since at the inhabited areas are clearly outlined. It is also apparent that, in the process of extracting liquid petroleum from beneath the surface of the Earth, abundant gas supply has been discovered but is not used. Being unable to contain the gas or to transport it to a user, it is simply burnt.  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0028-0836 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2365  
Permanent link to this record
 

 
Author Ciocca, M.; Wang, J. url  doi
openurl 
  Title (up) By the light of the silvery Moon: fact and fiction Type Journal Article
  Year 2013 Publication Physics Education Abbreviated Journal Phys. Educ.  
  Volume 48 Issue 3 Pages 360-367  
  Keywords Vision; moonlight; Purkinje effect; Purkinje shift; mesopic  
  Abstract Is moonlight 'silver' or 'cold'? In this paper we discuss the interesting combination of factors that contribute to the common descriptions of moonlight. Sunlight is reflected from the lunar surface and red-shifted. When traversing the atmosphere, moonlight is further depleted of short wavelength content by Rayleigh scattering. We measured the spectra of the moonlight to show these effects and compared them with sunlight. All measurements, including spectral reflectance, suggest that moonlight is redder than sunlight. The silvery Moon is just an illusion due to the properties and behaviour of our own eyes, including the responses of rods and cones and the physiological perceptive phenomenon called Purkinje shift.  
  Address Eastern Kentucky University, Richmond, KY, USA E-mail: marco.ciocca(at)eku.edu  
  Corporate Author Thesis  
  Publisher IOP Place of Publication Editor  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0031-9120 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ john @ Serial 2227  
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Author Navas Gonzalez, F.J.; Jordana Vidal, J.; Pizarro Inostroza, G.; Arando Arbulu, A.; Delgado Bermejo, J.V. url  doi
openurl 
  Title (up) Can Donkey Behavior and Cognition Be Used to Trace Back, Explain, or Forecast Moon Cycle and Weather Events? Type Journal Article
  Year 2018 Publication Animals : an Open Access Journal From MDPI Abbreviated Journal Animals (Basel)  
  Volume 8 Issue 11 Pages  
  Keywords Moonlight; Animals  
  Abstract Donkeys have been reported to be highly sensitive to environmental changes. Their 8900-8400-year-old evolution process made them interact with diverse environmental situations that were very distant from their harsh origins. These changing situations not only affect donkeys' short-term behavior but may also determine their long-term cognitive skills from birth. Thus, animal behavior becomes a useful tool to obtain past, present or predict information from the environmental situation of a particular area. We performed an operant conditioning test on 300 donkeys to assess their response type, mood, response intensity, and learning capabilities, while we simultaneously registered 14 categorical environmental factors. We quantified the effect power of such environmental factors on donkey behavior and cognition. We used principal component analysis (CATPCA) to reduce the number of factors affecting each behavioral variable and built categorical regression (CATREG) equations to model for the effects of potential factor combinations. Effect power ranged from 7.9% for the birth season on learning (p < 0.05) to 38.8% for birth moon phase on mood (p < 0.001). CATPCA suggests the percentage of variance explained by a four-dimension-model (comprising the dimensions of response type, mood, response intensity and learning capabilities), is 75.9%. CATREG suggests environmental predictors explain 28.8% of the variability of response type, 37.0% of mood, and 37.5% of response intensity, and learning capabilities.  
  Address The Worldwide Donkey Breeds Project, Faculty of Veterinary Sciences, University of Cordoba, 14071 Cordoba, Spain. juanviagr218@gmail.com  
  Corporate Author Thesis  
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  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2076-2615 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:30463193 Approved no  
  Call Number GFZ @ kyba @ Serial 2083  
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Author Zhu, Y.; Xu, D.; Saleem, A.; Ma, R.; Cheng, J. url  openurl
  Title (up) Can Nighttime Light Data Be Used to Estimate Electric Power Consumption? New Evidence from Causal-Effect Inference Type Journal Article
  Year 2019 Publication Energies Abbreviated Journal Energies  
  Volume 12 Issue 16 Pages 3154  
  Keywords Society; electric power consumption; nighttime light data; panel econometrics; panel Granger causality  
  Abstract Nighttime light data are often used to estimate some socioeconomic indicators, such as energy consumption, GDP, population, etc. However, whether there is a causal relationship between them needs further study. In this paper, we propose a causal-effect inference method to test whether nighttime light data are suitable for estimating socioeconomic indicators. Data on electric power consumption and nighttime light intensity in 77 countries were used for the empirical research. The main conclusions are as follows: First, nighttime light data are more appropriate for estimating electric power consumption in developing countries, such as China, India, and others. Second, more latent factors need to be added into the model when estimating the power consumption of developed countries using nighttime light data. Third, the light spillover effect is relatively strong, which is not suitable for estimating socioeconomic indicators in the contiguous regions between developed countries and developing countries, such as Spain, Turkey, and others. Finally, we suggest that more attention should be paid in the future to the intrinsic logical relationship between nighttime light data and socioeconomic indicators.  
  Address School of Economics and Management, China University of Geosciences, Wuhan 430074, China; xdy(at)cug.edu.cn  
  Corporate Author Thesis  
  Publisher MDPI Place of Publication Editor  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1996-1073 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ john @ Serial 2614  
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Author Kuffer, M.; Pfeffer, K.; Sliuzas, R.; Taubenbock, H.; Baud, I.; van Maarseveen, M. url  doi
openurl 
  Title (up) Capturing the Urban Divide in Nighttime Light Images From the International Space Station Type Journal Article
  Year 2018 Publication IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Abbreviated Journal IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing  
  Volume 11 Issue 8 Pages 2578-2586  
  Keywords Remote Sensing  
  Abstract Earlier studies utilizing coarse resolution DMSP-OLS nighttime light (NTL) imagery suggest a negative correlation between the amount of NTL and urban deprivation. The International Space Station (ISS) NTL images offer higher resolution images compared to DMSP-OLS or VIIRS images, allowing an analysis of intraurban NTL variations. The aim of this study is to examine the capacity of ISS images for analyzing the intraurban divide. NTL images of four cities (one African, two Asian, and one South American) have been processed and analyzed. The results show that deprived areas are generally the darker spots of built-up areas within cities, illustrating the urban divide in terms of access to street lighting. However, differences exist between cities: Deprived areas in the African city (Dar es Salaam) generally feature lower NTL emissions compared to the examined cities in South America (Belo Horizonte) and Asia (Mumbai and Ahmedabad). Beyond, variations exist in NTL emissions across deprived areas within cities. Deprived areas at the periphery show less NTL compared to central areas. Edges of deprived areas have higher NTL emissions compared to internal areas. NTL emission differences between types of deprived areas were detected. The correlation between ISS NTL images and population densities is weak; this can be explained by densely built-up deprived areas having less NTL compared to lower density formal areas. Our findings show ISS data complement other data to capture the urban divide between deprived and better-off areas and the need to consider socioeconomic conditions in estimating populations.  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1939-1404 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2178  
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