| Records |
| Author |
Zhou, Y.; Li, X.; Asrar, G.R.; Smith, S.J.; Imhoff, M. |
| Title |
A global record of annual urban dynamics (1992–2013) from nighttime lights |
Type |
Journal Article |
| Year |
2018 |
Publication |
Remote Sensing of Environment |
Abbreviated Journal |
Remote Sensing of Environment |
Volume  |
219 |
Issue |
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Pages |
206-220 |
| Keywords |
Remote Sensing |
| Abstract |
The nighttime light (NTL) observations from Defense Meteorological Satellite Program/Operational Linescane System (DMSP/OLS) offer great potentials to study urban dynamics from regional to global scales, for more than two decades. In this paper, we presented a new approach to develop spatially and temporally consistent global urban maps from 1992 to 2013, using the DMSP/OLS NTL observations. First, potential urban clusters were delineated using the NTL data and a segmentation method. Then, a quantile-based approach was used to remove rural and suburban areas sequentially in the potential urban clusters. Finally, the derived series of urban extents in the entire study period (1992–2013) were improved for temporal consistency. We found the percentage of global urban areas relative to the world's land surface area increased from 0.23% in 1992 to 0.53% in 2013. Asia is the continent with the most significant urban growth, worldwide. The time series of global urban maps were evaluated for the spatial agreement and temporal consistency using a variety of widely used independent land-cover products. This evaluation indicates that the proposed approach is robust and performs well in deriving global urban dynamics across different spatial scales, i.e., cluster, province (or state), country, and region. Moreover, this quantile-based approach is advantageous, compared with other methods used in previous studies, because it does not require additional data for enhancement or calibration. The new time series of urban maps from this study offer a new dataset for studying global urbanization during the past decades and unique information to explore potential future trajectories of urban development, which appears to be distinct for different nations/regions, globally. Such information is pre-requisite for achieving the sustainable development goals, and associated targets, during ensuing decades. |
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0034-4257 |
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GFZ @ kyba @ |
Serial |
2048 |
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Casasole, G.; Raap, T.; Costantini, D.; AbdElgawad, H.; Asard, H.; Pinxten, R.; Eens, M. |
| Title |
Neither artificial light at night, anthropogenic noise nor distance from roads are associated with oxidative status of nestlings in an urban population of songbirds |
Type |
Journal Article |
| Year |
2017 |
Publication |
Comparative Biochemistry and Physiology. Part A, Molecular & Integrative Physiology |
Abbreviated Journal |
Comp Biochem Physiol A Mol Integr Physiol |
| Volume |
210 |
Issue |
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Pages |
14-21 |
| Keywords |
Animals |
| Abstract |
Increasing urbanization is responsible for road-related pollutants and causes an unprecedented increase in light and noise pollution, with potential detrimental effects for individual animals, communities and ecosystems. These stressors rarely act in isolation but studies dissecting the effects of these multiple stressors are lacking. Moreover, studies on urban stressors have mainly focused on adults, while exposure in early-life may be detrimental but is largely ignored. To fill this important knowledge gap, we studied if artificial light at night, anthropogenic noise and road-related pollution (using distance from roads as a proxy) explain variation in oxidative status in great tit nestlings (Parus major) in an urban population. Artificial light at night, anthropogenic noise and distance from roads were not associated with variation of the nine studied metrics of oxidative status (superoxide dismutase-SOD-, glutathione peroxidase-GPX, catalase-CAT-, non-enzymatic total antioxidant capacity-TAC-, reduced glutathione-GSH-, oxidized glutathione-GSSG-, ratio GSH/GSSG, protein carbonyls and thiobarbituric acid reactive substances-TBARS). Interestingly, for all oxidative status metrics, we found that there was more variation in oxidative status among individuals of the same nest compared to between different nests. We also showed an increase in protein carbonyls and a decrease of the ratio GSH/GSSG as the day advanced, and an increase of GPX when weather conditions deteriorated. Our study suggests that anthropogenic noise, artificial light at night and road-related pollution are not the most important sources of variation in oxidative status in great tit nestlings. It also highlights the importance of considering bleeding time and weather conditions in studies with free-living animals. |
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Department of Biology, Behavioural Ecology & Ecophysiology Group, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium |
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English |
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1095-6433 |
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PMID:28499963 |
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GFZ @ kyba @ |
Serial |
2457 |
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Wang, L.; Wang, S.; Zhou, Y.; Liu, W.; Hou, Y.; Zhu, J.; Wang, F. |
| Title |
Mapping population density in China between 1990 and 2010 using remote sensing |
Type |
Journal Article |
| Year |
2018 |
Publication |
Remote Sensing of Environment |
Abbreviated Journal |
Remote Sensing of Environment |
| Volume |
210 |
Issue |
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Pages |
269-281 |
| Keywords |
Remote Sensing |
| Abstract |
Knowledge of the spatial distribution of populations at finer spatial scales is of significant value and fundamental to many applications such as environmental change, urbanization, regional planning, public health, and disaster management. However, detailed assessment of the population distribution data of countries that have large populations (such as China) and significant variation in distribution requires improved data processing methods and spatialization models. This paper described the construction of a novel population spatialization method by combining land use/cover data and night-light data. Based on the analysis of data characteristics, the method used partial correlation analysis and geographically weighted regression to improve the distribution accuracy and reduce regional errors. China's census data for the years 1990, 2000, and 2010 were assessed. The results showed that the method was better at population spatialization than methods that use only night-light data or land use/cover data and global linear regression. Evaluation of overall accuracies revealed that the coefficient of correlation R-square was >0.90 and increased by >0.13 in the years 1990, 2000, and 2010. Moreover, the local R-square of over 90% of the samples (counties) was higher than the adjusted R-square of the general linear regression model. Furthermore, the gridded population density datasets obtained by this method can be used to analyse spatial-temporal patterns of population density and provide population distribution information with increased accuracy and precision compared to conventional models. |
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0034-4257 |
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no |
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GFZ @ kyba @ |
Serial |
2480 |
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Xie, C.; Zhu, H.; Chen, S.; Wen, Y.; Jin, L.; Zhang, L.; Tong, J.; Shen, Y. |
| Title |
Chronic retinal injury induced by white LED light with different correlated color temperatures as determined by microarray analyses of genome-wide expression patterns in mice |
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Journal Article |
| Year |
2020 |
Publication |
Journal of Photochemistry and Photobiology. B, Biology |
Abbreviated Journal |
J Photochem Photobiol B |
| Volume |
210 |
Issue |
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Pages |
111977 |
| Keywords |
Animals; Vision; Autophagy; Cct; Expression profile microarray; Genome-wide; Led; Retinal photoreceptor degeneration; Ubiquitin |
| Abstract |
Widely used white light-emitting diodes (LEDs) currently deliver higher levels of blue light than conventional domestic light sources. The high intensity of the blue component is the main source of concern regarding possible health risks of LED to chronic light toxicity to the retina. Therefore, we analyzed retinal injury and genome-wide changes in gene expression induced by white LED light with different correlated color temperatures (CCTs) in a mouse model. Balb/c mice (10 weeks old) were exposed to LED light with CCTs of 2954, 5624, and 7378 K, at different illuminance levels (250, 500, 1000, and 3000 lx) and for different exposure times (7, 14, and 28 days). Hematoxylin and eosin staining revealed that exposure to 7378 K light at 250 lx for 28 days resulted in a significant reduction of outer nuclear layer (ONL) nuclei, whereas 2954 K light at <3000 lx led to only a mild reduction in the number of ONL nuclei. In addition, 5624 and 7378 K light at 3000 lx resulted in a significant increase in TUNEL-positive apoptotic nuclei, which was not found at an illuminance of 1000 lx. Genome-wide expression analyses showed that, compared to a control group, there were 121 upregulated differentially expressed genes (DEGs) and 458 downregulated DEGs found in the 7378 K group, and 59 upregulated and only 4 downregulated DEGs in the 2954 K group. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses showed that the DEGs were involved in 341 GO terms and 16 related pathways for the 7378 K group and in 12 GO terms and 7 related pathways for the 2954 K group. Signal pathways related to ubiquitin potentially played an important role in light-induced retinal degeneration. Furthermore, retinal immunohistochemistry (IHC) indicated downregulation of ubiquitin and autophagy function caused by 7378 K light. Taken together, these results indicate that retinal injury in the mice induced by white LED light occurred in a CCT-dependent manner, and that light with a higher CCT was more likely to reduce ONL nuclei; however, the apoptosis pathway may not be the only mechanism involved. Based on genome-wide expression analyses and retinal IHC, the ubiquitin-mediated proteolysis signal pathway may have participated in the induction retinal degeneration. |
| Address |
Department of Ophthalmology, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China. Electronic address: idrshen@zju.edu.com |
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English |
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1011-1344 |
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PMID:32738749 |
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GFZ @ kyba @ |
Serial |
3086 |
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Li, P.; Zhang, H.; Wang, X.; Song, X.; Shibasaki, R. |
| Title |
A spatial finer electric load estimation method based on night-light satellite image |
Type |
Journal Article |
| Year |
2020 |
Publication |
Energy |
Abbreviated Journal |
Energy |
| Volume |
209 |
Issue |
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Pages |
118475 |
| Keywords |
Remote Sensing |
| Abstract |
As a fundamental parameter of the electric grid, obtaining spatial electric load distribution is the premise and basis for numerous studies. As a public, world-wide, and spatialized dataset, NPP/VIIRS night-light satellite image has been long used for socio-economic information estimation, including electric consumption, while little attention has been given to the electric load estimation. Additionally, most of the previous studies were performed at a large spatial scale, which could not reflect the electric information inner a city. Therefore, this paper proposes a method to estimate electric load density at a township-level spatial scale based on NPP/VIIRS night-light satellite data. Firstly, we reveal the different fitting relationships between EC (Electric Consumption)-NLS (Night-Light Sum) and EL (Electric Load)-NLI (Night-Light Intensity). Then, we validated the spatial-scale’s influence on the estimation accuracy by experiment via generating a series of simulated datasets. After working out the super-resolution night-light image with the SRCNN (Super-Resolution Convolutional Neural Network) algorithm, we established a finer spatial estimation model. By taking a monthly data of Shanghai as a case study, we validate the model we established. The result shows that estimating electric load at township-level based on night-light satellite data is feasible, and the SRCNN algorithm can improve the performance. |
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0360-5442 |
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GFZ @ kyba @ |
Serial |
3068 |
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