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Author Ghosh, T.; Anderson, S.; Elvidge, C.; Sutton, P.
Title (down) Using Nighttime Satellite Imagery as a Proxy Measure of Human Well-Being Type Journal Article
Year 2013 Publication Sustainability Abbreviated Journal Sustainability
Volume 5 Issue 12 Pages 4988-5019
Keywords Remote Sensing
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ISSN 2071-1050 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kagoburian @ Serial 941
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Author Imhoff, M.
Title (down) Using nighttime DMSP/OLS images of city lights to estimate the impact of urban land use on soil resources in the United States Type Journal Article
Year 1997 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment
Volume 59 Issue 1 Pages 105-117
Keywords Remote Sensing
Abstract Nightime “city light” footprints derived from DMSP/OLS satellite images were merged with census data and a digital soils map in a continental-scale test of a remote sensing and geographic information system methodology for approximating the extent of built-up land and its potential impact on soil resources in the United States. Using image processing techniques and census data, we generated maps where the “city lights” class represented mean population densities of 947 persons km−2 and 392 housing units km−2, areas clearly not available to agriculture. By our analysis, such “city lights” representing urban areas accounted for 2.7% of the surface area in the United States, an area approximately equal to the State of Minnesota or one half the size of California. Using the UN/FAO Fertility Capability Classification System to rank soils, results for the United States show that development appears to be following soil resources, with the better agricultural soils being the most urbanized. Some unique soil types appear to be on the verge of being entirely coopted by “urban sprawl.” Urban area figures derived from the DMSP/OLS imagery compare well to those derived from statistical sources. Further testing and refinement of the methodology remain but the technique shows promise for possible extension to global evaluations of urbanization, population and even global productivity.
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ISSN 0034-4257 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ christopher.kyba @ Serial 496
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Author Weidmann, N.; Schutte, S.
Title (down) Using night light emissions for the prediction of local wealth Type Journal Article
Year 2016 Publication Journal of Peace Research Abbreviated Journal J Peace Res
Volume Issue Pages 0022343316630359
Keywords Economics; remote sensing; night lights; spatial prediction
Abstract Nighttime illumination can serve as a proxy for economic variables in particular in developing countries, where data are often not available or of poor quality. Existing research has demonstrated this for coarse levels of analytical resolution, such as countries, administrative units or large grid cells. In this article, we conduct the first fine-grained analysis of night lights and wealth in developing countries. The use of large-scale, geo-referenced data from the Demographic and Health Surveys allows us to cover 39 less developed, mostly non-democratic countries with a total sample of more than 34,000 observations at the level of villages or neighborhoods. We show that light emissions are highly accurate predictors of economic wealth estimates even with simple statistical models, both when predicting new locations in a known country and when generating predictions for previously unobserved countries.
Address Department of Politics and Public Administration, University of Konstanz, Germany; nils.weidmann(at)uni-konstanz.de
Corporate Author Thesis
Publisher SAGE Place of Publication Editor
Language English Summary Language English Original Title
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Notes Approved no
Call Number IDA @ john @ Serial 1474
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Author Chen, X.; Nordhaus, W.D.
Title (down) Using luminosity data as a proxy for economic statistics Type Journal Article
Year 2011 Publication Proceedings of the National Academy of Sciences of the United States of America Abbreviated Journal Proc Natl Acad Sci U S A
Volume 108 Issue 21 Pages 8589-8594
Keywords Developing Countries/history/*statistics & numerical data; *Extraterrestrial Environment; History, 20th Century; History, 21st Century; *Light; Methods; *Research Design; Socioeconomic Factors/*history
Abstract A pervasive issue in social and environmental research has been how to improve the quality of socioeconomic data in developing countries. Given the shortcomings of standard sources, the present study examines luminosity (measures of nighttime lights visible from space) as a proxy for standard measures of output (gross domestic product). We compare output and luminosity at the country level and at the 1 degrees latitude x 1 degrees longitude grid-cell level for the period 1992-2008. We find that luminosity has informational value for countries with low-quality statistical systems, particularly for those countries with no recent population or economic censuses.
Address Department of Economics, Yale University, New Haven, CT 06520, USA. xi.chen@yale.edu
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Language English Summary Language Original Title
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ISSN 0027-8424 ISBN Medium
Area Expedition Conference
Notes PMID:21576474; PMCID:PMC3102367 Approved no
Call Number IDA @ john @ Serial 122
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Author Rybnikova, N.A.; Portnov, B.A.
Title (down) Using light-at-night (LAN) satellite data for identifying clusters of economic activities in Europe Type Journal Article
Year 2015 Publication Letters in Spatial and Resource Sciences Abbreviated Journal Lett. Spatial & Resource Sci.
Volume 8 Issue 3 Pages 307–334
Keywords Remote Sensing; Economic activities; Clusters; Satellite photometry; Light-at-night; Europe; Nomenclature of Territorial Units for Statistics; C13; C38; O52; Economics
Abstract Enterprises organized in clusters are often efficient in stimulating urban development, productivity and profit outflows. Identifying the clusters of economic activities thus becomes an important step in devising regional development policies, aimed at the formation of clusters of economic activities in geographic areas in which this objective is desirable. However, a major problem with the identification of such clusters stems from limited reporting by individual countries and administrative entities on the regional distribution of specific economic activities, especially for small regional subdivisions. In this study, we test a possibility that missing data on geographic concentrations of economic activities in the European NUTS3 regions can be reconstructed using light-at-night satellite measurements, and that such reconstructed data can then be used for cluster identification. The matter is that light-at-night, captured by satellite sensors, is characterized by different intensity, depending on its source—production facilities, services, etc. As a result, light-at-night can become a marker of different types of economic activities, a hypothesis that the present study confirms. In particular, as the present analysis indicates, average light-at-night intensities emitted from NUTS3 regions help to explain up to 94 % variance in the areal density of several types of economic activities, performing especially well for professional, scientific and technical services (R^2=0.742−0.939), public administration (R^2=0.642−0.934), as well as for arts, entertainment and recreation (R^2=0.718−0.934). As a result, clusters of these economic activities can be identified using light-at-night data, thus helping to supplement missing information and assist regional analysis.
Address Department of Natural Resources and Environmental Management, Faculty of Management, University of Haifa, 31805, Mt. Carmel, Israel; Portnov@research.haifa.ac.il
Corporate Author Thesis
Publisher Springer Place of Publication Editor
Language English Summary Language English Original Title
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Notes Approved no
Call Number IDA @ john @ Serial 1148
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