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Author (up) Bergs, R.; Issa, M.
Title What do night satellite images and small-scale grid data tell us about functional changes in the rural-urban environment and the economy? Case studies Frankfurt-Rhein/Main and Ljubljana Urban Region Type Journal Article
Year 2018 Publication Abbreviated Journal
Volume Issue Pages
Keywords Remote Sensing
Abstract This study addresses how nocturnal satellite imagery can be used in spatial analysis of rural-urban relations. It shows how a novel approach can be used to complement the prevalent traditional survey methods below the data resolution level of official regional statistics. The overarching aim is to contribute with a novel database and different empirical tools to broaden spatial information for decision-making in policy and planning at small spatial scale amongst municipalities. The accuracy of spatial information is expected to be substantially enhanced, paving ways for better rural-urban planning coordination and synergies.
Address
Corporate Author PRAC - Bergs & Issa Partnership Co. , Im Hopfengarten 19b, D - 65812 Bad Soden, Germany Thesis
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Notes Approved no
Call Number GFZ @ kyba @ Serial 2047
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Author (up) Berman, S.
Title Opinion: Whither V(λ)? Type Journal Article
Year 2019 Publication Lighting Research & Technology Abbreviated Journal Lighting Research & Technology
Volume 51 Issue 1 Pages 4-4
Keywords Vision
Abstract
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1477-1535 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2219
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Author (up) Bertolo, A.; Binotto, R.; Ortolani, S.; Sapienza, S.
Title Measurements of Night Sky Brightness in the Veneto Region of Italy: Sky Quality Meter Network Results and Differential Photometry by Digital Single Lens Reflex Type Journal Article
Year 2019 Publication Journal of Imaging Abbreviated Journal J. Imaging
Volume 5 Issue 5 Pages 56
Keywords Skyglow
Abstract In this paper, we present the implementation of a monitoring network for artificial light at night (ALAN), based on Sky Quality Meter devices (SQM) installed in seven locations of the Veneto region. The system is coordinated by the Regional Environmental Protection Agency (ARPA-Veneto) and the Department of Physics and Astronomy of the University of Padova, in collaboration with a local dark-sky association, Venetostellato. A new centralized database containing zenith night sky brightness (NSB) data was implemented to collect data from all SQM stations of the regional territory, not only in real time (since 2017), but in some stations since 2011. We now have a dataset to determine how light pollution is affecting astronomical observatories. A WEB portal was created to offer different downloads from these NSB data. We present the results of some elaborations for the 2018 dataset (statistics, histograms, annual and cumulative plots) for seven monitoring sites. For Ekar and Pennar sites, we also present the NSB monthly trend from 2014 until the time of the study. We purchased a reflex camera with a fish eye lens, appropriately calibrated with the software (SW) Sky Quality Camera, which allowed us to study ALAN using differential photometry. Here, we present our first results obtained by studying the night evolution of light pollution in the urban location of Padova.
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Language Summary Language Original Title
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ISSN 2313-433X ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2508
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Author (up) Bharti, N.; Tatem, A.J.
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
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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
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Author (up) Bharti, N.; Tatem, A.J.; Ferrari, M.J.; Grais, R.F.; Djibo, A.; Grenfell, B.T.
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
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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
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