| Records |
| Author |
Yao, Y.; Chen, D.; Chen, L.; Wang, H.; Guan, Q. |
| Title |
A time series of urban extent in China using DSMP/OLS nighttime light data |
Type |
Journal Article |
| Year |
2018 |
Publication |
PloS one |
Abbreviated Journal |
PLoS One |
| Volume |
13 |
Issue |
5 |
Pages  |
e0198189 |
| Keywords |
Remote Sensing |
| Abstract |
Urban extent data play an important role in urban management and urban studies, such as monitoring the process of urbanization and changes in the spatial configuration of urban areas. Traditional methods of extracting urban-extent information are primarily based on manual investigations and classifications using remote sensing images, and these methods have such problems as large costs in labor and time and low precision. This study proposes an improved, simplified and flexible method for extracting urban extents over multiple scales and the construction of spatiotemporal models using DMSP/OLS nighttime light (NTL) for practical situations. This method eliminates the regional temporal and spatial inconsistency of thresholding NTL in large-scale and multi-temporal scenes. Using this method, we have extracted the urban extents and calculated the corresponding areas on the county, municipal and provincial scales in China from 2000 to 2012. In addition, validation with the data of reference data shows that the overall accuracy (OA), Kappa and F1 Scores were 0.996, 0.793, and 0.782, respectively. We increased the spatial resolution of the urban extent to 500 m (approximately four times finer than the results of previous studies). Based on the urban extent dataset proposed above, we analyzed changes in urban extents over time and observed that urban sprawl has grown in all of the counties of China. We also identified three patterns of urban sprawl: Early Urban Growth, Constant Urban Growth and Recent Urban Growth. In addition, these trends of urban sprawl are consistent with the western, eastern and central cities of China, respectively, in terms of their spatial distribution, socioeconomic characteristics and historical background. Additionally, the urban extents display the spatial configurations of urban areas intuitively. The proposed urban extent dataset is available for download and can provide reference data and support for future studies of urbanization and urban planning. |
| Address |
School of Information Engineering, China University of Geosciences, Wuhan, Hubei province, China |
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English |
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1932-6203 |
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| Notes |
PMID:29795685 |
Approved |
no |
| Call Number |
GFZ @ kyba @ |
Serial |
1924 |
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| Author |
Secondi, J.; Dupont, V.; Davranche, A.; Mondy, N.; Lengagne, T.; Thery, M. |
| Title |
Variability of surface and underwater nocturnal spectral irradiance with the presence of clouds in urban and peri-urban wetlands |
Type |
Journal Article |
| Year |
2017 |
Publication |
PloS one |
Abbreviated Journal |
PLoS One |
| Volume |
12 |
Issue |
11 |
Pages |
e0186808 |
| Keywords |
Skyglow; Ecology |
| Abstract |
Artificial light at night (ALAN) is an increasing phenomenon worldwide. It causes a wealth of biological and ecological effects that may eventually affect populations and ecosystems. Despite the growing concern about ALAN, little is known about the light levels species are exposed to at night, especially for wetlands and underwater habitats. We determined nocturnal irradiance in urban and peri-urban wetlands above and under water, and assessed the effect of cloud cover on the variability of ALAN across the urban gradient. Even in aquatic habitats, cloud cover could increase irradiance beyond values observed during clear full moon nights. We report a negative relationship between baseline irradiance and the increase in irradiance during overcast nights. According to this result and previous studies, we propose that the change in the variation regime of ALAN between the urban center and rural land at its periphery is a usual feature. We discuss the ecological and evolutionary implications of this spatial variation in the urban and peri-urban environment. |
| Address |
UMR 7179 CNRS-MNHN, Mecanismes Adaptatifs et Evolution, Brunoy, France |
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1932-6203 |
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PMID:29117235; PMCID:PMC5695598 |
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no |
| Call Number |
LoNNe @ kyba @ |
Serial |
1801 |
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| Author |
Rowse, E.G.; Harris, S.; Jones, G. |
| Title |
Effects of dimming light-emitting diode street lights on light-opportunistic and light-averse bats in suburban habitats |
Type |
Journal Article |
| Year |
2018 |
Publication |
Royal Society Open Science |
Abbreviated Journal |
R. Soc. open sci. |
| Volume |
5 |
Issue |
6 |
Pages |
180205 |
| Keywords |
Animals; Lighting |
| Abstract |
Emerging lighting technologies provide opportunities for reducing carbon footprints, and for biodiversity conservation. In addition to installing light-emitting diode street lights, many local authorities are also dimming street lights. This might benefit light-averse bat species by creating dark refuges for these bats to forage and commute in human-dominated habitats. We conducted a field experiment to determine how light intensity affects the activity of the light-opportunistic Pipistrellus pipistrellus and light-averse bats in the genus Myotis. We used four lighting levels controlled under a central management system at existing street lights in a suburban environment (0, 25, 50 and 100% of the original output). Higher light intensities (50 and 100% of original output) increased the activity of light-opportunistic species but reduced the activity of light-averse bats. Compared to the unlit treatment, the 25% lighting level did not significantly affect either P. pipistrellus or Myotis spp. Our results suggest that it is possible to achieve a light intensity that provides both economic and ecological benefits by providing sufficient light for human requirements while not deterring light-averse bats. |
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2054-5703 |
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no |
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GFZ @ kyba @ |
Serial |
1931 |
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| Author |
Proville, J.; Zavala-Araiza, D.; Wagner, G. |
| Title |
Night-time lights: A global, long term look at links to socio-economic trends |
Type |
Journal Article |
| Year |
2017 |
Publication |
PloS one |
Abbreviated Journal |
PLoS One |
| Volume |
12 |
Issue |
3 |
Pages |
e0174610 |
| Keywords |
Remote Sensing; Economics |
| Abstract |
We use a parallelized spatial analytics platform to process the twenty-one year totality of the longest-running time series of night-time lights data-the Defense Meteorological Satellite Program (DMSP) dataset-surpassing the narrower scope of prior studies to assess changes in area lit of countries globally. Doing so allows a retrospective look at the global, long-term relationships between night-time lights and a series of socio-economic indicators. We find the strongest correlations with electricity consumption, CO2 emissions, and GDP, followed by population, CH4 emissions, N2O emissions, poverty (inverse) and F-gas emissions. Relating area lit to electricity consumption shows that while a basic linear model provides a good statistical fit, regional and temporal trends are found to have a significant impact. |
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John A. Paulson School of Engineering and Applied Sciences, Harvard University, and Harvard University Center for the Environment, Cambridge, Massachusetts, United States of America |
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English |
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1932-6203 |
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PMID:28346500 |
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no |
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LoNNe @ kyba @ |
Serial |
1645 |
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Freitas, J.R. de; Bennie, J.; Mantovani, W.; Gaston, K.J. |
| Title |
Exposure of tropical ecosystems to artificial light at night: Brazil as a case study |
Type |
Journal Article |
| Year |
2017 |
Publication |
PloS one |
Abbreviated Journal |
PLoS One |
| Volume |
12 |
Issue |
2 |
Pages |
e0171655 |
| Keywords |
Remote Sensing |
| Abstract |
Artificial nighttime lighting from streetlights and other sources has a broad range of biological effects. Understanding the spatial and temporal levels and patterns of this lighting is a key step in determining the severity of adverse effects on different ecosystems, vegetation, and habitat types. Few such analyses have been conducted, particularly for regions with high biodiversity, including the tropics. We used an intercalibrated version of the Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) images of stable nighttime lights to determine what proportion of original and current Brazilian vegetation types are experiencing measurable levels of artificial light and how this has changed in recent years. The percentage area affected by both detectable light and increases in brightness ranged between 0 and 35% for native vegetation types, and between 0 and 25% for current vegetation (i.e. including agriculture). The most heavily affected areas encompassed terrestrial coastal vegetation types (restingas and mangroves), Semideciduous Seasonal Forest, and Mixed Ombrophilous Forest. The existing small remnants of Lowland Deciduous and Semideciduous Seasonal Forests and of Campinarana had the lowest exposure levels to artificial light. Light pollution has not often been investigated in developing countries but our data show that it is an environmental concern. |
| Address |
Environment & Sustainability Institute, University of Exeter, Penryn, Cornwall, United Kingdom |
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English |
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1932-6203 |
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PMID:28178352; PMCID:PMC5298803 |
Approved |
no |
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LoNNe @ kyba @ |
Serial |
1650 |
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