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Author (up) Bharti, N.; Tatem, A.J. url  doi
openurl 
  Title Fluctuations in anthropogenic nighttime lights from satellite imagery for five cities in Niger and Nigeria Type Journal Article
  Year 2018 Publication Scientific Data Abbreviated Journal Sci Data  
  Volume 5 Issue Pages 180256  
  Keywords Remote Sensing  
  Abstract Dynamic measures of human populations are critical for global health management but are often overlooked, largely because they are difficult to quantify. Measuring human population dynamics can be prohibitively expensive in under-resourced communities. Satellite imagery can provide measurements of human populations, past and present, to complement public health analyses and interventions. We used anthropogenic illumination from publicly accessible, serial satellite nighttime images as a quantifiable proxy for seasonal population variation in five urban areas in Niger and Nigeria. We identified population fluxes as the mechanistic driver of regional seasonal measles outbreaks. Our data showed 1) urban illumination fluctuated seasonally, 2) corresponding population fluctuations were sufficient to drive seasonal measles outbreaks, and 3) overlooking these fluctuations during vaccination activities resulted in below-target coverage levels, incapable of halting transmission of the virus. We designed immunization solutions capable of achieving above-target coverage of both resident and mobile populations. Here, we provide detailed data on brightness from 2000-2005 for 5 cities in Niger and Nigeria and detailed methodology for application to other populations.  
  Address WorldPop, Department of Geography and Environment, University of Southampton; Flowminder Foundation, Southampton, SO17 1BJ, UK  
  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 2052-4463 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:30422123; PMCID:PMC6233255 Approved no  
  Call Number GFZ @ kyba @ Serial 2769  
Permanent link to this record
 

 
Author (up) Bharti, N.; Tatem, A.J.; Ferrari, M.J.; Grais, R.F.; Djibo, A.; Grenfell, B.T. url  doi
openurl 
  Title Explaining seasonal fluctuations of measles in Niger using nighttime lights imagery Type Journal Article
  Year 2011 Publication Science (New York, N.Y.) Abbreviated Journal Science  
  Volume 334 Issue 6061 Pages 1424-1427  
  Keywords Remote Sensing; Human Health; Cities; Emigration and Immigration; Epidemics; *Epidemiologic Methods; Humans; Light; Measles/*epidemiology/transmission; Niger/epidemiology; *Population Density; Remote Sensing Technology; *Seasons; Spacecraft  
  Abstract Measles epidemics in West Africa cause a significant proportion of vaccine-preventable childhood mortality. Epidemics are strongly seasonal, but the drivers of these fluctuations are poorly understood, which limits the predictability of outbreaks and the dynamic response to immunization. We show that measles seasonality can be explained by spatiotemporal changes in population density, which we measure by quantifying anthropogenic light from satellite imagery. We find that measles transmission and population density are highly correlated for three cities in Niger. With dynamic epidemic models, we demonstrate that measures of population density are essential for predicting epidemic progression at the city level and improving intervention strategies. In addition to epidemiological applications, the ability to measure fine-scale changes in population density has implications for public health, crisis management, and economic development.  
  Address Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA. nbharti@princeton.edu  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0036-8075 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:22158822; PMCID:PMC3891598 Approved no  
  Call Number GFZ @ kyba @ Serial 2770  
Permanent link to this record
 

 
Author (up) Bhukya, K. A., Ramasubbareddy, S., Govinda, K., & Srinivas, T. A. S. url  doi
openurl 
  Title Adaptive Mechanism for Smart Street Lighting System Type Journal Article
  Year 2019 Publication Smart Intelligent Computing and Applications Abbreviated Journal  
  Volume 160 Issue Pages 69-76  
  Keywords Lighting  
  Abstract The adaptive street light has the ability to adapt to the motion of cycles, cars and pedestrians. It uses motion as well as light sensors to detect the traffic and light around. It dims when there is no movement on the road, and is brightened when there is any activity. Smart street lights are very dissimilar from the old methods of lighting. It is an automated system that will be able to automate the streets. The main objective of these lights is to decrease the utilization of power, while no activity is detected on the street. It will be switched ON while there are pedestrians and cars on the street or else they will get dimmed to 20% of the brightness. The proposed approach gives a method to conserve power by using the PIR sensors to sense the incoming traffic and hence turning ON a cluster of lights surrounding the traffic. As the traffic is passing by, the street lights left behind will dim on its own. Hence, a lot of power can be conserved. Also, during the day time when there is no need of light the LDR sensor will sense the light and the light will remain switched OFF. This smart street light system comes under the domain of smart city.  
  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 Approved no  
  Call Number IDA @ intern @ Serial 2723  
Permanent link to this record
 

 
Author (up) Bielli, A.; Alfaro-Shigueto, J.; Doherty, P.D.; Godley, B.J.; Ortiz, C.; Pasara, A.; Wang, J.H.; Mangel, J.C. url  doi
openurl 
  Title An illuminating idea to reduce bycatch in the Peruvian small-scale gillnet fishery Type Journal Article
  Year 2019 Publication Biological Conservation Abbreviated Journal Biological Conservation  
  Volume in press Issue Pages 108277  
  Keywords Animals; oceans; bycatch; artificial illumination; bycatch reduction technologies  
  Abstract Found in the coastal waters of all continents, gillnets are the largest component of small-scale fisheries for many countries. Numerous studies show that these fisheries often have high bycatch rates of threatened marine species such as sea turtles, small cetaceans and seabirds, resulting in possible population declines of these non-target groups. However, few solutions to reduce gillnet bycatch have been developed. Recent bycatch reduction technologies (BRTs) use sensory cues to alert non-target species to the presence of fishing gear. In this study we deployed light emitting diodes (LEDs) – a visual cue – on the floatlines of paired gillnets (control vs illuminated net) during 864 fishing sets on small-scale vessels departing from three Peruvian ports between 2015 and 2018. Bycatch probability per set for sea turtles, cetaceans and seabirds as well as catch per unit effort (CPUE) of target species were analysed for illuminated and control nets using a generalised linear mixed-effects model (GLMM). For illuminated nets, bycatch probability per set was reduced by up to 74.4 % for sea turtles and 70.8 % for small cetaceans in comparison to non-illuminated, control nets. For seabirds, nominal BPUEs decreased by 84.0 % in the presence of LEDs. Target species CPUE was not negatively affected by the presence of LEDs. This study highlights the efficacy of net illumination as a multi-taxa BRT for small-scale gillnet fisheries in Peru. These results are promising given the global ubiquity of small-scale net fisheries, the relatively low cost of LEDs and the current lack of alternate solutions to bycatch.  
  Address Centre for Ecology and Conservation, University of Exeter, Penryn, Cornwall, TR10 9FE, UK; bielli.alessandra(at)gmail.com  
  Corporate Author Thesis  
  Publisher Elsevier Place of Publication Editor  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0006-3207 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2779  
Permanent link to this record
 

 
Author (up) Birriel, J. J.; Adkins, J. K. url  openurl
  Title Sky Brightness at Zenith During the January 2019 Total Lunar Eclipse Type Journal Article
  Year 2019 Publication The Journal of the American Association of Variable Star Observers Abbreviated Journal  
  Volume 47 Issue 1 Pages 94  
  Keywords Skyglow  
  Abstract Lunar eclipses occur during the full moon phase when the moon is obscured by Earth's shadow. During these events, the night sky brightness changes as the full moon rises and then passes first into the penumbral and then the umbral shadow. We acquired sky brightness data at zenith using a Unihedron Sky Quality Meter during the 20-21 January 2019 total lunar eclipse as seen from Morehead, Kentucky. The resulting sky brightness curve shows an obvious signature when the moon enters the umbral (partial) eclipse phases and the total eclipse phase. During the total eclipse phase, the brightness curve is flat and measures 19.1 ± 0.1 mag / arcsec2. The observed brightness at totality is close to typical new moon in January night at our location, which measures 19.3 ± 0.1 mag / arcsec2. The partial eclipse phase is symmetric on either side of totality. The penumbral phase is more difficult to identify in the plot, without comparison to a typical full moon night. There is a clear asymmetry in the curve just before and just after the umbral phase. This asymmetry is probably due to changes in terrestrial atmospheric conditions, such as high altitude clouds.  
  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 Approved no  
  Call Number IDA @ intern @ Serial 2647  
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