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Author (up) Abay, K.A.; Amare, M.
Title Night light intensity and women's body weight: Evidence from Nigeria Type Journal Article
Year 2018 Publication Economics and Human Biology Abbreviated Journal Econ Hum Biol
Volume 31 Issue Pages 238-248
Keywords Remote Sensing; Human Health; Adolescent; Adult; Body Mass Index; *Body Weight; Cross-Sectional Studies; Female; Health Surveys; Humans; Lighting/*statistics & numerical data; Middle Aged; Nigeria/epidemiology; Obesity/epidemiology; Overweight/*epidemiology; Prevalence; *Urbanization; Young Adult; *Bmi; *Nigeria; *Night light; *Obesity; *Overweight; *Urbanization
Abstract The prevalence of overweight and obesity are increasing in many African countries and hence becoming regional public health challenges. We employ satellite-based night light intensity data as a proxy for urbanization to investigate the relationship between urbanization and women's body weight. We use two rounds of the Demographic and Health Survey data from Nigeria. We employ both nonparametric and parametric estimation approaches that exploit both the cross-sectional and longitudinal variations in night light intensities. Our empirical analysis reveals nonlinear relationships between night light intensity and women's body weight measures. Doubling the sample's average level of night light intensity is associated with up to a ten percentage point increase in the probability of overweight. However, despite the generally positive relationship between night light intensity and women's body weight, the strength of the relationship varies across the assorted stages of night light intensity. Early stages of night light intensity are not significantly associated with women's body weight, while higher stages of nightlight intensities are associated with higher rates of overweight and obesity. Given that night lights are strong predictors of urbanization and related economic activities, our results hint at nonlinear relationships between various stages of urbanization and women's body weight.
Address International Food Policy Research Institute (IFPRI), USA. Electronic address: M.Amare@cgiar.org
Corporate Author Thesis
Publisher Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1570-677X ISBN Medium
Area Expedition Conference
Notes PMID:30312904 Approved no
Call Number GFZ @ kyba @ Serial 2714
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Author (up) Chen, H.; Zhang, X.; Wu, R.; Cai, T.
Title Revisiting the environmental Kuznets curve for city-level CO2 emissions: based on corrected NPP-VIIRS nighttime light data in China Type Journal Article
Year 2020 Publication Journal of Cleaner Production Abbreviated Journal Journal of Cleaner Production
Volume Issue Pages 121575
Keywords Remore Sensing; China; carbon emissions; CO2 emissions; night lights; NPP-VIIRS; VIIRS-DNB; VIIRS-DNB; Kuznets curve
Abstract With the increasing trend of global warming, the Chinese government faces tremendous pressure to reduce CO2 emissions. The purpose of this study is to accurately measure CO2 emissions at the city scale in China and examine the environmental Kuznets curve, thereby providing a reference for decision-making. Corrected NPP-VIIRS nighttime light data were used to accurately estimate carbon dioxide emissions at the provincial and city scales in China. Then, based on the STRIPAT model, 291 cities in China were used to verify the environmental Kuznets curve. Our results show that on the provincial scale, the R2 between the estimated value and the statistical value of carbon dioxide reaches 0.85. Western cities in China emit more CO2, as do economically developed cities and industry- and mining-dominated cities. There are two CO2 emission hot spots in the north and one cold spot in the south. It was found that the environmental Kuznets curve on the city scale exists. This study has practical value in utilizing NPP-VIIRS data for the estimation of city CO2 emissions. The results also have academic value for determining factors that contribute to carbon dioxide emissions and can provide a reference for relevant decision makers. This study could be considered the first to simulate CO2 emissions at the provincial and city levels in China based on a NPP-VIIRS nighttime light model to explore the associated geographical distribution characteristics and potential influencing factors.
Address State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China
Corporate Author Thesis
Publisher Elsevier Place of Publication Editor
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0959-6526 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 2917
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Author (up) Elvidge, C. D.; Baugh, K. E.; Dietz, J. B.; Bland, T.; Sutton, P. C.; Kroehl, H. W.
Title Radiance calibration of DMSP-OLS low-light imaging data of human settlements. Type Journal Article
Year 1999 Publication Remote Sensing of Environment Abbreviated Journal
Volume 68 Issue 1 Pages 77-88
Keywords Remote Sensing; DMSP; DMSP-OLS; satellite; night lights; light pollution
Abstract Nocturnal lighting is a primary method for enabling human activity. Outdoor lighting is used extensively worldwide in residential, commercial, industrial, public facilities, and roadways. A radiance calibrated nighttime lights image of the United States has been assembled from Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS). The satellite observation of the location and intensity of nocturnal lighting provide a unique view of humanities presence and can be used as a spatial indicator for other variables that are more difficult to observe at a global scale. Examples include the modeling of population density and energy related greenhouse gas emissions.
Address NOAA National Geophysical Data Center, Boulder, CO USA
Corporate Author Thesis
Publisher Elsevier Place of Publication Editor
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kagoburian @ Serial 930
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Author (up) Elvidge, C. D.; Erwin, E.H.; Baugh, K.E.; Ziskin, D.; Tuttle, B.T.; Ghosh, T.; Sutton, P.C.
Title Overview of DMSP nightime lights and future possibilities Type Conference Article
Year 2009 Publication Joint Urban Remote Sensing Event Abbreviated Journal
Volume Issue Pages
Keywords Remote Sensing; DMSP; DMSP-OLS; Night lights
Abstract The Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) has a unique capability to collect low-light imaging data of the earth at night. The OLS and its predecessors have collected this style of data on a nightly global basis since 1972. The digital archive of OLS data extends back to 1992. Over the years several global nighttime lights products have been generated. NGDC has now produced a set of global cloud-free nighttime lights products, specifically processed for the detection of changes in lighting emitted by human settlements, spanning 1992-93 to 2008. While the OLS is far from ideal for observing nighttime lights, the DMSP nighttime lights products have been successfully used in modeling the spatial distribution of population density, carbon emissions, and economic activity.
Address Earth Observation Group NOAA National Geophysical Data Center Boulder, Colorado 80305 USA; chris.elvidge(at)noaa.gov
Corporate Author Thesis
Publisher IEEE Place of Publication Editor
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2334-0932 ISBN 978-1-4244-3461-9 Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 2668
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Author (up) Fan, J., He, H., Hu, T., Zhang, P., Yu, X., & Zhou, Y.
Title Estimation of Landscape Pattern Changes in BRICS from 1992 to 2013 Using DMSP-OLS NTL Images Type Journal Article
Year 2019 Publication Journal of the Indian Society of Remote Sensing Abbreviated Journal J Ind Soc Rem Sens
Volume 47 Issue 5 Pages 725–735
Keywords Remote Sensing; BRICS; Brazil; India; China; South Africa; nighttime light; night lights; DMSP-OLS
Abstract Nighttime light data from the Defense Meteorological Satellite Program’s Operational Linescan System are widely used for monitoring urbanization development. Brazil, Russia, India, China and South Africa (BRICS) countries have global economic and cultural influence in the new era. It was the first time for the researches about BRICS countries adopting nighttime light data to analyze the urbanization process. In this paper, we calibrated and extracted annual urbanized area patches from cities in BRICS based on a quadratic polynomial model. Nine landscape indexes were calculated to analyze urbanization process characteristics in BRICS. The results suggested that China and India both expanded more rapidly than other countries, with urban areas that increased by more than 100%. The expansion of large core cities was dominant in the urbanization of China, while emerging and expanding small urban patches were major forces in the urbanization of India. Since 1992, urbanization declined and urban areas shrunk in Russia, but core cities still maintained strength of urbanization. Due to economic recovery, urban areas near large cities in Russia began to expand. From 1992 to 2013, the urbanization process in South Africa developed slowly, as evidenced by time series fluctuations, but overall the development remained stable. The degree of urbanization in Brazil was greater than that in South Africa but less than that in Russia. Large-sized cities expanded slowly and small-sized cities clearly expanded in BRICS from 1992 to 2013.
Address School of Civil and Architectural Engineering,Shandong University of Technology, Zibo, China; anjf(at)sdut.edu.cn
Corporate Author Thesis
Publisher Springer Place of Publication Editor
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ intern @ Serial 2307
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