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Author (down) Zangeneh, P.; Hamledari, H.; McCabe, B.
Title Quantifying Remoteness for Risk and Resilience Assessment Using Nighttime Satellite Imagery Type Journal Article
Year 2020 Publication Journal of Computing in Civil Engineering Abbreviated Journal J. Comput. Civ. Eng.
Volume 34 Issue 5 Pages 04020026
Keywords Remote Sensing
Abstract Remoteness has a crucial role in risk assessments of megaprojects, resilience assessments of communities and infrastructure, and a wide range of public policymaking. The existing measures of remoteness require an extensive amount of population census and of road and infrastructure network data, and often are limited to narrow scopes. This paper presents a methodology to quantify remoteness using nighttime satellite imagery. The light clusters of nighttime satellite imagery are direct yet unintended consequences of human settled populations and urbanization; therefore, the absence of illuminated clusters is considered as evidence of remoteness. The proposed nighttime remoteness index (NIRI) conceptualizes the remoteness based on the distribution of nighttime lights within radii of up to 1,000 km. A predictive model was created using machine learning techniques such as multivariate adaptive regression splines and support vector machines regressions to establish a reliable and accurate link between nighttime lights and the Accessibility/Remoteness Index of Australia (ARIA). The model was used to establish NIRI for the United States and Canada, and in different years. The index was compared with the Canadian remoteness indexes published by Statistics Canada.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0887-3801 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2937
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Author (down) Zamorano, J.; Sánchez de Miguel, A.; Ocaña, F.; Pila-Diez, B.; Gómez Castaño, J.; Pascual, S.; Tapia, C.; Gallego, J.; Fernandez, A.; Nievas, M.
Title Testing sky brightness models against radial dependency: a dense two dimensional survey around the city of Madrid, Spain Type Journal Article
Year 2016 Publication Journal of Quantitative Spectroscopy and Radiative Transfer Abbreviated Journal JQSRT
Volume 181 Issue Pages 52-66
Keywords Skyglow; measurements; light pollution; artificial light at night; modeling; Madrid; Spain
Abstract We present a study of the night sky brightness around the extended metropolitan area of Madrid using Sky Quality Meter (SQM) photometers. The map is the first to cover the spatial distribution of the sky brightness in the center of the Iberian peninsula. These surveys are neccessary to test the light pollution models that predict night sky brightness as a function of the location and brightness of the sources of light pollution and the scattering of light in the atmosphere. We describe the data-retrieval methodology, which includes an automated procedure to measure from a moving vehicle in order to speed up the data collection, providing a denser and wider survey than previous works with similar time frames. We compare the night sky brightness map to the nocturnal radiance measured from space by the DMSP satellite. We find that i) a single source model is not enough to explain the radial evolution of the night sky brightness, despite the predominance of Madrid in size and population, and ii) that the orography of the region should be taken into account when deriving geo-specific models from general first-principles models. We show the tight relationship between these two luminance measures. This finding sets up an alternative roadmap to extended studies over the globe that will not require the local deployment of photometers or trained personnel.
Address Dept. Astrof´ısica y CC. de la Atm´osfera, Universidad Complutense de Madrid, Ciudad Universitaria, 28040 Madrid, Spain
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Notes Approved no
Call Number IDA @ john @ Serial 1323
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Author (down) Zamorano Calvo, J.; Sánchez de Miguel, A.; Pascual Ramírez, S.; Gómez Castaño, J.; Ramírez Moreta, P.; Challupner, P.
Title ISS nocturnal images as a scientific tool against Light Pollution Type Journal Article
Year 2011 Publication Unpublished working paper submitted to NASA JSC Imaging Lab Abbreviated Journal
Volume Issue Pages
Keywords Remote Sensing
Abstract The potential of the night pictures taken from the International Space Station (ISS) with a Nikon D3s digital camera to fight against light pollution is shown. A scientific analysis of ISS026-E-26493 RAW image of Madrid at night with techniques used by astronomers and cartographers is performed. We suggest an observational setup to obtain useful scientific information from the pictures including series of exposures and calibration frames.
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Language Summary Language Original Title
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ISSN ISBN Medium
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Notes Approved no
Call Number LoNNe @ christopher.kyba @ Serial 492
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Author (down) Zamorano Calvo, J.; Sánchez de Miguel, A.; Nievas Rosillo, M.; Tapia Ayuga, C.
Title NixNox procedure to build Night Sky Brightness maps from SQM photometers observations Type Report
Year 2014 Publication E-prints Complutense Abbreviated Journal
Volume Issue 26982 Pages
Keywords Skyglow; measurement; SQM; SQM-L; mapping
Abstract The NixNox procedure to build all-sky maps of the nocturnal night sky brightness using SQM photometers is described. Astronomers belonging to amateur associations in Spain are using this observational method to obtain data of their preferred sites of observation to characterize the astronomical quality of the sky and the sources of light pollution.
Address Departamento de Astrofísica y Ciencias de la Atmósfera, Universidad Complutense – 28040 Madrid, Spain
Corporate Author Thesis
Publisher Universidad Complutense Place of Publication Madrid Editor
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
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ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 1435
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Author (down) Zahra, H. S., Iqbal, A., Hassan, S. H., Shakir, H. A., Khan, M., Irfan, M., ... & Ali, S.
Title Epigenetics: A Bridge between Artificial Light at Night and Breast Cancer Type Journal Article
Year 2019 Publication Punjab University Journal of Zoology Abbreviated Journal
Volume 34 Issue 2 Pages 231-238
Keywords Review; Human Health
Abstract The second most frequent cancer all over the world is breast cancer (BC). It is

reported that only about 10% BC cases are attributed due to inherited genetic mutations while remaining 90% cancer cases are associated with environmental factors. Artificial light at night (ALAN) is considered one of the major environmental risk factors for breast cancer. It inhibits production of melatonin (MLT) from pineal gland which results in abnormal epigenetic changes that relates with an increased risk of BC. The most important ALAN-mediated epigenetic changes include methylation of DNA and acetylation of histone, which are significant for growth, development and progression of BC. DNA hypermethylation of promoter CpG islands inhibits transcriptional activity by methyltransferase enzyme which results in inactivation of tumor suppressor genes (TSG), while in hypomethylation, demethyltransferase enzyme causes the activation of oncogenes by promoting transcriptional activity. Contrary to DNA methylation, histone acetylation and deacetylation results in chromatin opening and closing, respectively; leading to transcriptional activation and inactivation of genes. Histone acetylation has been frequently detected in oncogenes while histone deacetylation in TSG. Collective data from various studies demonstrate that DNA hypermethylation and histone deacetylation of TSG lead to inactivation of TSG and activation of oncogenes. The purpose of this review is to discuss the evidence based relationship between ALAN and oncogenes expression through epigenetic remodeling by DNA methylation and histone acetylation.
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Notes Approved no
Call Number IDA @ intern @ Serial 2973
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