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Author Durrant, J.; Michaelides, E.B.; Rupasinghe, T.; Tull, D.; Green, M.P.; Jones, T.M.
Title Constant illumination reduces circulating melatonin and impairs immune function in the cricketTeleogryllus commodus Type Journal Article
Year 2015 Publication PeerJ Abbreviated Journal (up)
Volume 3 Issue Pages e1075
Keywords Animals
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ISSN 2167-8359 ISBN Medium
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Notes Approved no
Call Number LoNNe @ christopher.kyba @ Serial 1217
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Author Yao, Y.
Title Correlation of Human Activities with Population and GDP in Chinese Cities -Based on the Data of DMSP-OLS. Type Journal Article
Year 2012 Publication International Journal of Economics and Management Engineering Abbreviated Journal (up)
Volume Issue Pages
Keywords Remote Sensing
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Notes Approved no
Call Number LoNNe @ christopher.kyba @ Serial 487
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Author Doll, C.N.H.
Title Population detection profiles of DMSP-OLS night-time imagery by regions of the world. Type Journal Article
Year 2011 Publication Proceedings of the Asia Pacific Advanced Network, February 21-25, 2011, Hong Kong, China Abbreviated Journal (up)
Volume 30 Issue Pages 190-206
Keywords Remote Sensing
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Notes Approved no
Call Number LoNNe @ christopher.kyba @ Serial 488
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Author Lolkema, D.T.; et al
Title Position Paper from the User Community Earth Observation of Nighttime Lighting Type Journal Article
Year 2011 Publication Unpublished position paper Abbreviated Journal (up)
Volume Issue Pages
Keywords Remote Sensing
Abstract Artificial night lighting is a unique sign of human activity. Pictures from space show us

beautifully and strikingly how we illuminate our planet. Light emission (and low-light

reflection) data can aid research in numerous fields, from socio-economic studies, via light

pollution, to emergency response. The only instrument currently capable of measuring

nighttime lights from space is the Defense Meteorological Satellite Program – Operational

Linescan System (DMSP-OLS). Although this unique dataset was the first to allow analysis

of our nighttime activities, it has many shortcomings, such as rather coarse spatial resolution

(2.5 km ground sampling distance), only panchromatic visible spectral information and no

visible band calibration, 6-bit quantification, saturation and overglow. By the end of 2011, a

new instrument will be launched, the Visible-Infrared Imager-Radiometer Suite (VIIRS)

onboard the NPOESS1

Preparatory Project (NPP) satellite. This instrument remedies some of

the shortcomings of the DMSP-OLS instrument, but it still is not designed for earth

observation of nighttime lighting and lacks many specifications we advocate here. On June

10th 2011, the High Sensitivity Camera (HSC) onboard the Aquarius/SAC-D satellite was

launched successfully. This instrument has a panchromatic band (450 – 610 nm) and a

resolution of 200-300 meters. The foreseen products and other characteristics are yet

unknown to the authors.
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Call Number LoNNe @ christopher.kyba @ Serial 489
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Author Roychowdhury, K.; Jones, S.; Arrowsmith, C.; Reinke, K.
Title Indian census using satellite images: Can DMSP-OLS data be used for small administrative regions? Type Journal Article
Year 2011 Publication Urban Remote Sensing Event (JURSE), 2011 Joint Abbreviated Journal (up)
Volume Issue Pages 153 - 156
Keywords Remote Sensing; India; South Asia; DMSP; DMSP-OLS
Abstract India conducts its census every ten years. Census data is collected manually in India with enumerators visiting every household in the country. Being such a vast country (in terms of area) and with a population of more than 1 billion, manual data collection is a laborious and expensive process. In response, this paper proposes a surrogate census method using DMSP-OLS night-time images. The study focuses on smaller administrative regions such as sub-districts (or taluks as they are known in the country) in the state of Maharashtra. Models are proposed using selected census metrics, and mean and standard deviation of stable lights and brightness information as obtained from the satellite images. The adjusted r2 values range from 0.2 to 0.8 at 95% confidence interval, with the majority of the metrics being moderately correlated (with r2 between 0.4 and 0.7). Generally it was found that the observed lights and brightness of big rural settlements from DMSP-OLS images have the potential for predicting certain census metrics. However, unlike larger areas such as districts where DMSP-OLS night-time images adequately predict census metrics, at the sub-district level the results need to be supplemented and validated with other information sources such as survey reports.
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Notes Approved no
Call Number LoNNe @ christopher.kyba @ Serial 490
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