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Author Chen, X.; Jia, X.; Pickering, M.
Title A Nighttime Lights Adjusted Impervious Surface Index (NAISI) with Integration of Landsat Imagery and Nighttime Lights Data from International Space Station Type Journal Article
Year 2019 Publication International Journal of Applied Earth Observation and Geoinformation Abbreviated Journal International Journal of Applied Earth Observation and Geoinformation
Volume 83 Issue Pages (down) 101889
Keywords Remote Sensing
Abstract Accurate mapping of impervious surface is essential for both urbanization monitoring and micro-ecosystem research. However, the confusion between impervious surface and bare soil is the major concern due to their high spectral similarity in optical imagery. Integration of multi-sensor images is considered to offer a better capacity for distinguishing impervious surface from background. In this paper, a new impervious surface index namely nighttime light adjusted impervious surface index (NAISI), which integrates information from Landsat and nighttime lights (NTL) data from International Space Station (NTL-ISS), is proposed. Parallel to baseline subtraction approaches, NAISI integrate the information from the first component of principal component (PC) transformation of NTL-ISS, the Soil Adjusted Vegetation Index (SAVI) and the third component of tasseled cap transform (TC3) of the Landsat data. Visual interpretation and quantitative indices (SDI, Kappa and overall accuracy) were adopted to elevate the accuracy and separability of NAISI. Comparative analysis with NTL derived light intensity, optical indices, as well as existing optical-NTL indices were conducted to examine the performance of NAISI. Results indicate that NAISI achieves a more promising capability in impervious surface mapping. This demonstrates the superiority of integration of optical and nighttime lights information for imperviousness detection.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0303-2434 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2658
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Author Doulos, L.T.; Sioutis, I.; Kontaxis, P.; Zissis, G.; Faidas, K.
Title A decision support system for assessment of street lighting tenders based on energy performance indicators and environmental criteria: Overview, methodology and case study Type Journal Article
Year 2019 Publication Sustainable Cities and Society Abbreviated Journal Sustainable Cities and Society
Volume 51 Issue Pages (down) 101759
Keywords Lighting; Policy
Abstract While LEDs are now the most efficient light sources, their adoption in the road lighting design has been delayed due to a variety of reasons such as malpractice, huge number of inappropriate luminaires, missing technical information and ineffective policies. An example is the, low luminous efficacy values, which confuse the decision makers for national roads. The new part of EN13201-5 describes many energy performance indicators, which are still not used in street light projects or in lighting simulation tools. The aim of this paper is a) to present the significance of using these indicators through a decision tool, capable to evaluate a number of lighting designs in a lighting tender and b) to propose an evaluation method as part of a future energy policy including environmental criteria. A case study is also presented. The results show that the aforementioned decision tool is necessary in order to evaluate the ranking of the corresponding offers. Thus, increased energy savings could be achieved together with environmental benefits. In the case examined, the best solution resulted in 72.1% energy savings and CO2 emission reduction.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2210-6707 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2609
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Author Suk, J.Y.; Walter, R.J.
Title New nighttime roadway lighting documentation applied to public safety at night: A case study in San Antonio, Texas Type Journal Article
Year 2019 Publication Sustainable Cities and Society Abbreviated Journal Sustainable Cities and Society
Volume 46 Issue Pages (down) 101459
Keywords Lighting; Public Safety; Security; Planning
Abstract Built environment and public safety professionals view street lighting as an important factor in improving the well-being of the community at night. Extant research that has examined the relationship between street lighting and public safety has found inconclusive or mixed results and has called for more extensive lighting metrics. Using new lighting measurement technologies and geographic information science, this study builds on previous work to demonstrate new metrics to consider when evaluating public safety, specifically crime and traffic accidents. Downtown San Antonio, Texas is used as a case study to explore illuminance levels on roadways and the driver’s eye, and how these metrics can be used to understand the lighting characteristics of where crime and traffic accidents occur. The findings indicate that the central downtown district in San Antonio has higher illuminance levels than the existing roadway lighting guidelines while the residential downtown neighborhoods have insufficient light levels. Statistical analysis reveals that roadway illuminance levels are higher in areas where no crime occurred and driver’s eye illuminance levels are lower in areas with no traffic accidents. The findings prove the usefulness of new lighting documentation techniques and support the importance of considering illuminance metrics when assessing crime and traffic accidents at night.
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2210-6707 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2191
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Author Shen, J.; Tower, J.
Title Effects of light on aging and longevity Type Journal Article
Year 2019 Publication Ageing Research Reviews Abbreviated Journal Ageing Res Rev
Volume 53 Issue Pages (down) 100913
Keywords Human Health; Review; Aging; longevity
Abstract Increasing evidence suggests an important role for light in regulation of aging and longevity. UV radiation is a mutagen that can promote aging and decrease longevity. In contrast, NIR light has shown protective effects in animal disease models. In invertebrates, visible light can shorten or extend lifespan, depending on the intensity and wavelength composition. Visible light also impacts human health, including retina function, sleep, cancer and psychiatric disorders. Possible mechanisms of visible light include: controlling circadian rhythms, inducing oxidative stress, and acting through the retina to affect neuronal circuits and systems. Changes in artificial lighting (e.g., LEDs) may have implications for human health. It will be important to further explore the mechanisms of how light affects aging and longevity, and how light affects human health.
Address Molecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles CA 90089-2910, United States
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 1568-1637 ISBN Medium
Area Expedition Conference
Notes PMID:31154014 Approved no
Call Number GFZ @ kyba @ Serial 2514
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Author Kosicki, J.Z.
Title Anthropogenic activity expressed as ‘artificial light at night’ improves predictive density distribution in bird populations Type Journal Article
Year 2020 Publication Ecological Complexity Abbreviated Journal Ecological Complexity
Volume 41 Issue Pages (down) 100809
Keywords Remote Sensing; Animals; Ecology
Abstract Artificial Light At Night (ALAN) is one of the most important anthropogenic environmental components that affects biodiversity worldwide. Despite extensive knowledge on ALAN, being a measure of human activity that directly impacts numerous aspects of animal behaviour, such as orientation and distribution, little is known about its effects on density distribution on a large spatial scale. That is why we decided to explore by means of the Species Distribution Modelling approach (SDM) how ALAN as one of 33 predictors determines farmland and forest bird species densities. In order to safeguard study results from any inconsistency caused by the chosen method, we used two approaches, i.e. the Generalised Additive Model (GAM) and the Random Forest (RF). Within each approach, we developed two models for two bird species, the Black woodpecker and the European stonechat: the first with ALAN, and the second without ALAN as an additional predictor. Having used out-of-bag procedures in the RF approach, information-theoretic criteria for the GAM, and evaluation models based on an independent dataset, we demonstrated that models with ALAN had higher predictive density power than models without it. The Black woodpecker definitely and linearly avoids anthropogenic activity, defined by the level of artificial light, while the European stonechat tolerates human activity to some degree, especially in farmland habitats. What is more, a heuristic analysis of predictive maps based on models without ALAN shows that both species reach high densities in regions where they are deemed rare. Hence, the study proves that urbanisation processes, which can be reflected by ALAN, are among key predictors necessary for developing Species Density Distribution Models for both farmland and forest bird species.
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1476945X ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2776
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