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Lu, W.; Liu, Y.; Wang, J.; Xu, W.; Wu, W.; Liu, Y.; Zhao, B.; Li, H.; Li, P. |
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Title |
Global proliferation of offshore gas flaring areas |
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Journal Article |
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Year |
2020 |
Publication |
Journal of Maps |
Abbreviated Journal |
Journal of Maps |
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Volume |
16 |
Issue |
2 |
Pages |
396-404 |
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Keywords |
Remote Sensing |
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Abstract |
The long-term venting and combustion of offshore associated gas have substantial adverse effects on the ecological environment, so characterizing the global proliferation of offshore gas flaring areas is very important for marine environmental protection and climate change research. However, the use of a single fire/light remote sensing product makes it difficult to conduct long-term observations. In this study, we detected global offshore gas flaring areas during the 27-year interval from 1992 to 2018, using temporal and spatial complementarity of six different remote sensing data products, which are as follows: DMSP-OLS Nighttime Lights; (A)ATSRs; MODIS and VIIRS activefire products; and VIIRS Night Fire and NighttimeLight. Our aim was to achieve more comprehensive extraction results and to analyze a longer time-interval than has been attempted previously. In addition, the resulting map ofthe global proliferation of offshore gas flaring areas enables their locational and temporal characteristics to be visualized. |
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1744-5647 |
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GFZ @ kyba @ |
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2930 |
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Author |
Peña-García, A.; Sędziwy, A. |
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Title |
Optimizing Lighting of Rural Roads and Protected Areas with White Light: A Compromise among Light Pollution, Energy Savings, and Visibility |
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Journal Article |
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Year |
2019 |
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Leukos |
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Leukos |
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in press |
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15502724.2019.1574138 |
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Lighting; Energy; Skyglow; LED |
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The broad implementation of light emitting diode (LED) light sources in public lighting has become a revolution in recent years. Their low power consumption and good performance (extremely low onset time, long lifetime, high efficacy) make LEDs an optimal solution in most outdoor applications. In addition, the white light emitted by the vast majority of LEDs used in public lighting and their good color rendering improve well-being, comfort, and safety in cities, especially in commercial zones and urban centers. However, regulations on light pollution that have been developed in some countries in parallel to the introduction of LED lighting impose strong constraints to white light emission, which is present due to the higher Rayleigh scattering of short wavelengths. These regulations request filtering blue wavelengths in some protected areas and thus limit the projects to high- or low-pressure sodium sources or amber LEDs. In this work, the pros and cons of white and amber LED lighting in rural areas are analyzed and compared through simulations made on a typical rural lighting situation and considerations based on efficiency, visual performance, nonvisual effects, and light pollution. The most important conclusion is that Rayleigh scattering seems to prevail in the current considerations on light pollution, whereas other important aspects affecting safety and sustainability are are not considered. Accurate designs can decrease light pollution without constraints against white LEDs. The objective of this work is to provide evidence leading to consider light pollution from a more general perspective in the benefit of humans and the environment. |
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1550-2724 |
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GFZ @ kyba @ |
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2380 |
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Fotios, S. |
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Title |
Using Category Rating to Evaluate the Lit Environment: Is a Meaningful Opinion Captured? |
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Journal Article |
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2018 |
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Leukos |
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Leukos |
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1-16 |
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Psychology |
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Do responses gained using category rating accurately reflect respondents’ true evaluations of an item? “True” in this sense means that they have a real opinion about the issue, rather than being compelled by the survey to speculate an opinion, and that the strength of that opinion is faithfully captured. This article describes some common issues that suggest that it should not be simply assumed that a response gained using category rating reflects a true evaluation. That assumption requires an experiment to have been carefully designed and interpreted, and examples are shown where this is not the case. The article offers recommendations for good practice. |
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GFZ @ kyba @ |
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2270 |
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Author |
Zhao, N.; Liu, Y.; Cao, G.; Samson, E.L.; Zhang, J. |
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Title |
Forecasting China’s GDP at the pixel level using nighttime lights time series and population images |
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Journal Article |
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Year |
2017 |
Publication |
GIScience & Remote Sensing |
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GIScience & Remote Sensing |
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54 |
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3 |
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407-425 |
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Remote Sensing |
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China’s rapid economic development greatly affected not only the global economy but also the entire environment of the Earth. Forecasting China’s economic growth has become a popular and essential issue but at present, such forecasts are nearly all conducted at the national scale. In this study, we use nighttime light images and the gridded Landscan population dataset to disaggregate gross domestic product (GDP) reported at the province scale on a per pixel level for 2000–2013. Using the disaggregated GDP time series data and the statistical tool of Holt–Winters smoothing, we predict changes of GDP at each 1 km × 1 km grid area from 2014 to 2020 and then aggregate the pixel-level GDP to forecast economic growth in 23 major urban agglomerations of China. We elaborate and demonstrate that lit population (brightness of nighttime lights × population) is a better indicator than brightness of nighttime lights to estimate and disaggregate GDP. We also show that our forecast GDP has high agreement with the National Bureau of Statistics of China’s demographic data and the International Monetary Fund’s predictions. Finally, we display uncertainties and analyze potential errors of this disaggregation and forecast method. |
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1548-1603 |
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GFZ @ kyba @ |
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2478 |
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Author |
Xie, Y.; Weng, Q. |
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Title |
World energy consumption pattern as revealed by DMSP-OLS nighttime light imagery |
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Journal Article |
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Year |
2016 |
Publication |
GIScience & Remote Sensing |
Abbreviated Journal |
GIScience & Remote Sensing |
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Volume |
53 |
Issue |
2 |
Pages |
265-282 |
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Keywords |
Remote Sensing |
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Remotely sensed nighttime light (NTL) from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) provides a spatially consistent and cost-effective mean to estimate energy consumption pattern. While previous researches have documented the application of NTL to predict electric power consumption (EPC) with varying degrees of success, few have systematically studied the possible factors affecting the EPC-NTL relationship. Moreover, no substantial research effort has been made to relate overall energy consumption (OEC) to NTL. This study investigated key factors governing the EPC/OEC-NTL relationship by examining the influences of affluence, urbanization, technology, temperature, and NTL pattern. Results show that EPC increased with higher per capital GDP, urbanization rate, and high-technology exports, and lower agricultural development, both globally and regionally. Meanwhile, EPC generally reduced with higher temperature and more agglomerate human activities. A strong OEC-NTL relationship was found; but the influencing factors to the OEC-NTL relationship varied across regions due to the natures of energy use. These factors must be considered especially for the studies of less-affluent regions where NTL was undetectable by the DMSP-OLS sensor. |
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1548-1603 |
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GFZ @ kyba @ |
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2485 |
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