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Author Bennie, J.; Davies, T.W.; Duffy, J.P.; Inger, R.; Gaston, K.J.
Title Contrasting trends in light pollution across Europe based on satellite observed night time lights Type Journal Article
Year 2014 Publication Scientific Reports Abbreviated Journal Sci Rep
Volume 4 Issue Pages 3789
Keywords remote sensing; light pollution; light at night; DMSP-OLS; satellite; light pollution reduction
Abstract Since the 1970s nighttime satellite images of the Earth from space have provided a striking illustration of the extent of artificial light. Meanwhile, growing awareness of adverse impacts of artificial light at night on scientific astronomy, human health, ecological processes and aesthetic enjoyment of the night sky has led to recognition of light pollution as a significant global environmental issue. Links between economic activity, population growth and artificial light are well documented in rapidly developing regions. Applying a novel method to analysis of satellite images of European nighttime lights over 15 years, we show that while the continental trend is towards increasing brightness, some economically developed regions show more complex patterns with large areas decreasing in observed brightness over this period. This highlights that opportunities exist to constrain and even reduce the environmental impact of artificial light pollution while delivering cost and energy-saving benefits.
Address Environment and Sustainability Institute, University of Exeter, Penryn, Cornwall, UK TR10 9EZ
Corporate Author Thesis
Publisher Place of Publication Editor
Language English Summary Language (up) Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2045-2322 ISBN Medium
Area Expedition Conference
Notes PMID:24445659; PMCID:PMC3896907 Approved no
Call Number IDA @ john @ Serial 328
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Author Henderson, J.V.; Storeygard, A.; Weil, D.N.
Title Measuring Economic Growth From Outer Space Type Journal Article
Year 2012 Publication The American Economic Review Abbreviated Journal Am Econ Rev
Volume 102 Issue 2 Pages 994-1028
Keywords satellite data; remote sensing; economics; social science
Abstract GDP growth is often measured poorly for countries and rarely measured at all for cities or subnational regions. We propose a readily available proxy: satellite data on lights at night. We develop a statistical framework that uses lights growth to augment existing income growth measures, under the assumption that measurement error in using observed light as an indicator of income is uncorrelated with measurement error in national income accounts. For countries with good national income accounts data, information on growth of lights is of marginal value in estimating the true growth rate of income, while for countries with the worst national income accounts, the optimal estimate of true income growth is a composite with roughly equal weights. Among poor-data countries, our new estimate of average annual growth differs by as much as 3 percentage points from official data. Lights data also allow for measurement of income growth in sub- and supranational regions. As an application, we examine growth in Sub Saharan African regions over the last 17 years. We find that real incomes in non-coastal areas have grown faster by 1/3 of an annual percentage point than coastal areas; non-malarial areas have grown faster than malarial ones by 1/3 to 2/3 annual percent points; and primate city regions have grown no faster than hinterland areas. Such applications point toward a research program in which “empirical growth” need no longer be synonymous with “national income accounts.”
Address National Bureau of Economic Research, 1050 Massachusetts Avenue, Cambridge, MA 02138
Corporate Author Thesis
Publisher American Economic Association Place of Publication Editor
Language English Summary Language (up) Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0002-8282 ISBN Medium
Area Expedition Conference
Notes PMID:25067841; PMCID:PMC4108272 Approved no
Call Number IDA @ john @ Serial 364
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Author Huang, Q.; He, C.; Gao, B.; Yang, Y.; Liu, Z.; Zhao, Y.; Dou, Y.
Title Detecting the 20 year city-size dynamics in China with a rank clock approach and DMSP/OLS nighttime data Type Journal Article
Year 2015 Publication Landscape and Urban Planning Abbreviated Journal Landscape and Urban Planning
Volume 137 Issue Pages 138-148
Keywords remote sensing
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language (up) Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0169-2046 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ christopher.kyba @ Serial 1104
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Author de Miguel, A.S.; Castano, J.G.; Zamorano, J.; Pascual, S.; Angeles, M.; Cayuela, L.; Martinez, G.M.; Challupner, P.; Kyba, C.C.M.
Title Atlas of astronaut photos of Earth at night Type Journal Article
Year 2014 Publication Astronomy & Geophysics Abbreviated Journal Astronomy & Geophysics
Volume 55 Issue 4 Pages 4.36-4.36
Keywords Remote Sensing
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language (up) Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1366-8781 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ christopher.kyba @ Serial 482
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Author Min, B.; Gaba, K.M.; Sarr, O.F.; Agalassou, A.
Title Detection of rural electrification in Africa using DMSP-OLS night lights imagery Type Journal Article
Year 2013 Publication International Journal of Remote Sensing Abbreviated Journal International Journal of Remote Sensing
Volume 34 Issue 22 Pages 8118-8141
Keywords Remote Sensing
Abstract We report on the first systematic ground-based validation of the US Air Force Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) night lights imagery to detect rural electrification in the developing world. Drawing upon a unique survey of villages in Senegal and Mali, this study compares night-time light output from the DMSP-OLS against ground-based survey data on electricity use in 232 electrified villages and additional administrative data on 899 unelectrified villages. The analysis reveals that electrified villages are consistently brighter than unelectrified villages across annual composites, monthly composites, and a time series of nightly imagery. Electrified villages appear brighter because of the presence of streetlights, and brighter villages tend to have more streetlights. By contrast, the correlation of light output with household electricity use and access is low. We further demonstrate that a detection algorithm using data on night-time light output and the geographic location of settlements can accurately classify electrified villages. This research highlights the potential to use night lights imagery for the planning and monitoring of ongoing efforts to connect the 1.4 billion people who lack electricity around the world.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language (up) Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0143-1161 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ christopher.kyba @ Serial 484
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