| Records |
| Author |
Ernst, S.; Łabuz, M.; Środa, K.; Kotulski, L. |
| Title |
Graph-Based Spatial Data Processing and Analysis for More Efficient Road Lighting Design |
Type |
Journal Article |
| Year |
2018 |
Publication |
Sustainability |
Abbreviated Journal |
Sustainability |
| Volume |
10 |
Issue |
11 |
Pages  |
3850 |
| Keywords |
Lighting |
| Abstract |
The efficiency and affordability of modern street lighting equipment are improving quickly, but systems used to manage and design lighting installations seem to lag behind. One of their problems is the lack of consistent methods to integrate all relevant data. Tools used to manage lighting infrastructure are not aware of the geographic characteristics of the lit areas, and photometric calculation software requires a lot of manual editing by the designer, who needs to assess the characteristics of roads, define the segments, and assign the lighting classes according to standards. In this paper, we propose a graph-based method to integrate geospatial data from various sources to support the process of data preparation for photometric calculations. The method uses graph transformations to define segments and assign lighting classes. A prototype system was developed to conduct experiments using real-world data. The proposed approach is compared to results obtained by professional designers in a case study; the method was also applied to several European cities to assess its efficiency. The obtained results are much more fine-grained than those yielded by the traditional approach; as a result, the lighting is more adequate, especially when used in conjunction with automated optimisation tools. |
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2071-1050 |
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GFZ @ kyba @ |
Serial |
2051 |
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| Author |
Wittenbrink, N.; Ananthasubramaniam, B.; Munch, M.; Koller, B.; Maier, B.; Weschke, C.; Bes, F.; de Zeeuw, J.; Nowozin, C.; Wahnschaffe, A.; Wisniewski, S.; Zaleska, M.; Bartok, O.; Ashwal-Fluss, R.; Lammert, H.; Herzel, H.; Hummel, M.; Kadener, S.; Kunz, D.; Kramer, A. |
| Title |
High-accuracy determination of internal circadian time from a single blood sample |
Type |
Journal Article |
| Year |
2018 |
Publication |
The Journal of Clinical Investigation |
Abbreviated Journal |
J Clin Invest |
| Volume |
128 |
Issue |
9 |
Pages |
3826-3839 |
| Keywords |
Human Health |
| Abstract |
BACKGROUND: The circadian clock is a fundamental and pervasive biological program that coordinates 24-hour rhythms in physiology, metabolism, and behavior, and it is essential to health. Whereas therapy adapted to time of day is increasingly reported to be highly successful, it needs to be personalized, since internal circadian time is different for each individual. In addition, internal time is not a stable trait, but is influenced by many factors, including genetic predisposition, age, sex, environmental light levels, and season. An easy and convenient diagnostic tool is currently missing. METHODS: To establish a validated test, we followed a 3-stage biomarker development strategy: (a) using circadian transcriptomics of blood monocytes from 12 individuals in a constant routine protocol combined with machine learning approaches, we identified biomarkers for internal time; and these biomarkers (b) were migrated to a clinically relevant gene expression profiling platform (NanoString) and (c) were externally validated using an independent study with 28 early or late chronotypes. RESULTS: We developed a highly accurate and simple assay (BodyTime) to estimate the internal circadian time in humans from a single blood sample. Our assay needs only a small set of blood-based transcript biomarkers and is as accurate as the current gold standard method, dim-light melatonin onset, at smaller monetary, time, and sample-number cost. CONCLUSION: The BodyTime assay provides a new diagnostic tool for personalization of health care according to the patient's circadian clock. FUNDING: This study was supported by the Bundesministerium fur Bildung und Forschung, Germany (FKZ: 13N13160 and 13N13162) and Intellux GmbH, Germany. |
| Address |
Charite Universitatsmedizin Berlin, corporate member of Freie Universitat Berlin, Humboldt-Universitat zu Berlin, and Berlin Institute of Health, Laboratory of Chronobiology, Berlin, Germany |
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English |
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0021-9738 |
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PMID:29953415; PMCID:PMC6118629 |
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no |
| Call Number |
GFZ @ kyba @ |
Serial |
2194 |
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| Author |
Shi, G.; Jiang, N.; Li, Y.; He, B. |
| Title |
Analysis of the Dynamic Urban Expansion Based on Multi-Sourced Data from 1998 to 2013: A Case Study of Jiangsu Province |
Type |
Journal Article |
| Year |
2018 |
Publication |
Sustainability |
Abbreviated Journal |
Sustainability |
| Volume |
10 |
Issue |
10 |
Pages |
3467 |
| Keywords |
Remote Sensing |
| Abstract |
Recently, with the fast speed of urban expansion, research concerning the regulation of urban built-up area expansion is a significant topic, especially in Eastern China with its high urbanization level. The Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) nighttime light data has a high association with the urban-rural distribution, which provides a new method to study urban expansion effectively and with relatively high accuracy. Between 1998 and 2013, China experienced a rapid economic development period, making it crucial to learn the patterns and driving forces to better manage urban master planning and sustainable development. The urban built-up area for the research years are mapped, and the annual urban expansion speed, urbanization intensity index, and built-up area gravity center are analyzed in this paper. The results will show that the amount of the urban built-up area grows continuously from 1998 to 2008, with the development focus in southern Jiangsu, while from 2008 to 2013, the development center moves to northern Jiangsu. The main driving forces behind this urban built-up area expansion are population growth and economic development. |
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2071-1050 |
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GFZ @ kyba @ |
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2018 |
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| Author |
Sun, Shaojie; Lu, Yingcheng; Liu, Yongxue; Wang, Mengqiu; Hu, Chuanmin |
| Title |
Tracking an oil tanker collision and spilled oils in the East China Sea using multi‐sensor day and night satellite imagery |
Type |
Journal Article |
| Year |
2018 |
Publication |
Geophysical Research Letters |
Abbreviated Journal |
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| Volume |
45 |
Issue |
7 |
Pages |
3212-3220 |
| Keywords |
Remote Sensing |
| Abstract |
Satellite remote sensing is well known to play a critical role in monitoring marine accidents such as oil spills, yet the recent SANCHI oil tanker collision event in January 2018 in the East China Sea indicates that traditional techniques using synthetic aperture radar (SAR) or daytime optical imagery could not provide timely and adequate coverage. In this study, we show the unprecedented value of VIIRS Nightfire product and Day/Night Band (DNB) data in tracking the oil tanker's drifting pathway and locations when all other means are not as effective for the same purpose. Such pathway and locations can also be reproduced with a numerical model, with RMS error of < 15 km. While high‐resolution optical imagery after 4 days of the tanker's sinking reveals much larger oil spill area (> 350 km2) than previous reports, the impact of the spilled condensate oil on the marine environment requires further research. |
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GFZ @ kyba @ |
Serial |
1838 |
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| Author |
Jiang, W.; He, G.; Long, T.; Guo, H.; Yin, R.; Leng, W.; Liu, H.; Wang, G. |
| Title |
Potentiality of Using Luojia 1-01 Nighttime Light Imagery to Investigate Artificial Light Pollution |
Type |
Journal Article |
| Year |
2018 |
Publication |
Sensors |
Abbreviated Journal |
Sensors |
| Volume |
18 |
Issue |
9 |
Pages |
2900 |
| Keywords |
Remote Sensing; Instrumentation |
| Abstract |
The successful launch of Luojia 1-01 complements the existing nighttime light data with a high spatial resolution of 130 m. This paper is the first study to assess the potential of using Luojia 1-01 nighttime light imagery for investigating artificial light pollution. Eight Luojia 1-01 images were selected to conduct geometric correction. Then, the ability of Luojia 1-01 to detect artificial light pollution was assessed from three aspects, including the comparison between Luojia 1-01 and the Suomi National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS), the source of artificial light pollution and the patterns of urban light pollution. Moreover, the advantages and limitations of Luojia 1-01 were discussed. The results showed the following: (1) Luojia 1-01 can detect a higher dynamic range and capture the finer spatial details of artificial nighttime light. (2) The averages of the artificial light brightness were different between various land use types. The brightness of the artificial light pollution of airports, streets, and commercial services is high, while dark areas include farmland and rivers. (3) The light pollution patterns of four cities decreased away from the urban core and the total light pollution is highly related to the economic development. Our findings confirm that Luojia 1-01 can be effectively used to investigate artificial light pollution. Some limitations of Luojia 1-01, including its spectral range, radiometric calibration and the effects of clouds and moonlight, should be researched in future studies. |
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1424-8220 |
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GFZ @ kyba @ |
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1997 |
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