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Author Suk, J.Y.; Walter, R.
Title Street Lighting and Public Safety: New Nighttime Lighting Documentation Method Type Journal Article
Year 2018 Publication ARCC Conference Repository Abbreviated Journal
Volume Issue Pages
Keywords (up) Public Safety; Lighting
Abstract While the rapid transition of street lighting technologies is occurring across the country for its promising benefits of high energy efficiency, higher intensity, long lamp life, and low maintenance, there is a lack of understanding on the impacts from street lighting’s physical characteristics on public safety. Nighttime lighting and its impact on the incidence of crime and roadway accidents has been investigated since the 1960s in the United States and the United Kingdom. However, prior research has not presented any scientific evidence such as quantified lighting characteristic data and its impacts on public safety because they relied on subjective survey inputs or over-simplified quantification of nighttime lighting conditions. To overcome the limitation of previous studies, extensive documentation of street lighting characteristics was conducted in downtown San Antonio, Texas, which adopts both conventional and new street lighting technologies. Two different sets of light level data were collected on roadways in order to measure the amount of light falling on the ground and on drivers’ eyes inside a car. Correlated color temperature and a color rendering index of nighttime lighting were recorded. The collected lighting data was mapped in a Geographic Information Systems database in order to spatially analyze lighting characteristics. The paper first highlights the potential issues with lighting analysis in previous studies. Next, the proposed research methodology to address these issues for both data collection and spatial analyses is explained. Finally, the preliminary documentation and analysis of street lighting characteristics are presented.
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Language English Summary Language Original Title
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Notes Approved no
Call Number NC @ ehyde3 @ Serial 2103
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Author Neri, L.; Coscieme, L.; Giannetti, B.F.; Pulselli, F.M.
Title Imputing missing data in non-renewable empower time series from night-time lights observations Type Journal Article
Year 2018 Publication Ecological Indicators Abbreviated Journal Ecological Indicators
Volume 84 Issue Pages 106-118
Keywords (up) Remote Sensing
Abstract Emergy is an environmental accounting tool, with a specific set of indicators, that proved to be highly informative for sustainability assessment of national economies. The empower, defined as emergy per unit time, is a measure of the overall flow of resources used by a system in order to support its functioning. Continuous time-series of empower are not available for most of the world countries, due to the large amount of data needed for its calculation year by year. In this paper, we aim at filling this gap by means of a model that facilitates reconstruction of continuous time series of the non-renewable component of empower for a set of 57 countries of the world from 1995 to 2012. The reconstruction is based on a 3 year global emergy dataset and on the acknowledged relationships between the use of non-renewables, satellite observed artificial lights emitted at night, and Gross Domestic Product. Results show that this method provides accurate estimations of non-renewable empower at the country scale. The estimation model can be extended onward and backward in time and replicated for more countries, also using higher-resolution satellite imageries newly available. Besides representing an important advancement in emergy theory, this information is helpful for monitoring progresses toward Sustainable Development and energy use international goals.
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ISSN 1470160X ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kyba @ Serial 1706
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Author Zheng, Q.; Jiang, R.; Wang, K.; Huang, L.; Ye, Z.; Gan, M.; Ji, B.
Title Monitoring the trajectory of urban nighttime light hotspots using a Gaussian volume model Type Journal Article
Year 2018 Publication International Journal of Applied Earth Observation and Geoinformation Abbreviated Journal International Journal of Applied Earth Observation and Geoinformation
Volume 65 Issue Pages 24-34
Keywords (up) Remote Sensing
Abstract Urban nighttime light hotspot is an ideal representation of the spatial heterogeneity of human activities within a city, which is sensitive to regional urban expansion pattern. However, most of previous studies related to nighttime light imageries focused on extracting urban extent, leaving the spatial variation of radiance intensity insufficiently explored. With the help of global radiance calibrated DMSP-OLS datasets (NTLgrc), we proposed an innovative framework to explore the spatio-temporal trajectory of polycentric urban nighttime light hotspots. Firstly, NTLgrc was inter-annually calibrated to improve the consistency. Secondly, multi-resolution segmentation and region-growing SVM classification were employed to remove blooming effect and to extract potential clusters. At last, the urban hotspots were identified by a Gaussian volume model, and the resulting parameters were used to quantitatively depict hotspot features (i.e., intensity, morphology and centroid dynamics). The result shows that our framework successfully captures hotspots in polycentric urban area, whose Ra2 are over 0.9. Meanwhile, the spatio-temporal dynamics of the hotspot features intuitively reveal the impact of the regional urban growth pattern and planning strategies on human activities. Compared to previous studies, our framework is more robust and offers an effective way to describe hotspot pattern. Also, it provides a more comprehensive and spatial-explicit understanding regarding the interaction between urbanization pattern and human activities. Our findings are expected to be beneficial to governors in term of sustainable urban planning and decision making.
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ISSN 0303-2434 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kyba @ Serial 1771
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Author Bagan, H.; Borjigin, H.; Yamagata, Y.
Title Assessing nighttime lights for mapping the urban areas of 50 cities across the globe Type Journal Article
Year 2018 Publication Environment and Planning B: Urban Analytics and City Science Abbreviated Journal Environment and Planning B: Urban Analytics and City Science
Volume Issue Pages 2399808317752926
Keywords (up) Remote Sensing
Abstract Nighttime data from the Defense Meteorological Satellite Program Operational Linescan System have been widely used to map urban/built-up areas (hereafter referred to as “built-up area”), but to date there has not been a geographically comprehensive evaluation of the effectiveness of using nighttime lights data to map urban areas. We created accurate, convenient, and scalable grid cells based on Defense Meteorological Satellite Program/Operational Linescan System nighttime light pixels. We then calculated the density of Landsat-derived built-up areas within each grid cell. We explored the relationship between Defense Meteorological Satellite Program/Operational Linescan System nighttime lights data and the density of built-up areas to assess the utility of nighttime lights for mapping urban areas in 50 cities across the globe. We found that the brightness of nighttime lights was only in moderate agreement with the density of built-up areas; moreover, correlations between nighttime lights and Landsat-derived built-up areas were weak. Even in relatively sparsely populated urban regions (where the density of the built-up area is less than 20%), the highest correlation coefficient (R2) was only 0.4. Furthermore, nighttime lights showed lighted areas that extended beyond the area of large cities, and nighttime lights reduced the area of small cities. The results suggest that it is difficult to use the regression model to calibrate the Defense Meteorological Satellite Program/Operational Linescan System nighttime lights to fit urban built up areas.
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Series Volume Series Issue Edition
ISSN 2399-8083 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kyba @; GFZ @ kyba @ Serial 1795
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Author Wu, W.; Zhao, H.; Jiang, S.
Title A Zipf's Law-Based Method for Mapping Urban Areas Using NPP-VIIRS Nighttime Light Data Type Journal Article
Year 2018 Publication Remote Sensing Abbreviated Journal Remote Sensing
Volume 10 Issue 1 Pages 130
Keywords (up) Remote Sensing
Abstract A significant difficulty in urban studies is obtaining urban areas. Nighttime light (NTL) data provide efficient approaches to map urban areas. Previous methods have utilized visual particularities of cities with ancillary data to obtain the optimal thresholds. How cities behave differently from rural areas should be considered. A Zipf’s law-based method is proposed to bootstrap the optimal threshold based on the statistical properties of a Zipf’s law model on continuous thresholds at the country scale. In our method, the Zipf’s law model is utilized to quantify fractal, self-organized, and agglomeration behaviors of cities. The three-phase cluster dynamics are discovered and the abrupt transition between Phase 1 and Phase 2 denotes the rural-urban demarcation point. The urban areas are derived by the proposed method from the Suomi National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) NTL data in 2013 in China. An accuracy assessment is conducted to compare it with the GlobeLand30-2010 data and the overall accuracy has directly confirmed the effectiveness of the method. The validation using point of interest (POI) data verifies that the urban areas show strong responses to social interactions and production with R2 values of 0.91 and 0.92, respectively, implying that the city areas extracted by our method can be a proxy for human activities. Comparisons with existing methods validate the effectiveness and high degree of automation of the proposed method in mapping urban areas at the country level. According to our analyses, the Zipf’s law-based method shows great potential to provide a universal criterion to map urban areas from the perspective of the behaviors of urban systems without ancillary data, and a valuable tool for spatial and temporal urban studies.
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Language Summary Language Original Title
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Series Volume Series Issue Edition
ISSN 2072-4292 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kyba @ Serial 1797
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