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Author Filho, C.R.D.S.; Zullo Jr, J.; Elvidge, C.
Title Brazil's 2001 energy crisis monitored from space Type Journal Article
Year 2004 Publication International Journal of Remote Sensing Abbreviated Journal International Journal of Remote Sensing
Volume 25 Issue 12 Pages 2475-2482
Keywords Remote Sensing; Energy
Abstract Data sensed by the US Air Force Defence Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) during the years 2000 and 2001 in Brazil were tested as a tool to monitor reduction of nocturnal lighting. This particular timing was examined as the Brazilian population and industry were forced to reduce electric power consumption by 20% during 2001, in relation to 2000, for a period of several months, starting officially on 1 June 2001. Large urban agglomerates were compelled to switch off city lights by at least the same amount. The Distrito Federal (DF), including the Brazilian capital, Brasilia, was one of the primary areas where the government actively sought electric power consumption reductions. Using the DF as a study case, we demonstrate that the mean grey levels derived from averaging DMSP-OLS data acquired over urban centres appear to be a useful index to monitor relative oscillations in energy consumption.
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ISSN 0143-1161 ISBN Medium
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Notes Approved no
Call Number GFZ @ kyba @ Serial 2362
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Author Levin, N.; Kark, S.; Crandall, D.
Title Where have all the people gone? Enhancing global conservation using night lights and social media Type Journal Article
Year 2015 Publication Ecological Applications Abbreviated Journal Ecological Applications
Volume 25 Issue 8 Pages 2153–2167
Keywords Remote Sensing
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ISSN 1051-0761 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ christopher.kyba @ Serial 1150
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Author Hu, C.; Chen, S.; Wang, M.; Murch, B.; Taylor, J.
Title Detecting surface oil slicks using VIIRS nighttime imagery under moon glint: a case study in the Gulf of Mexico Type Journal Article
Year 2015 Publication Remote Sensing Letters Abbreviated Journal Remote Sensing Letters
Volume 6 Issue 4 Pages 295-301
Keywords Remote Sensing
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ISSN 2150-704X ISBN Medium
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Notes Approved no
Call Number LoNNe @ christopher.kyba @ Serial 1151
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Author Ebener, S.; Murray, C.; Tandon, A.; Elvidge, C.C.
Title From wealth to health: modelling the distribution of income per capita at the sub-national level using night-time light imagery Type Journal Article
Year 2005 Publication International Journal of Health Geographics Abbreviated Journal Int J Health Geogr
Volume 4 Issue 1 Pages 5
Keywords poverty; remote sensing; light pollution
Abstract BACKGROUND: Sub-national figures providing information about the wealth of the population are useful in defining the spatial distribution of both economic activity and poverty within any given country. Furthermore, since several health indicators such as life expectancy are highly correlated with household welfare, sub-national figures allow for the estimation of the distribution of these health indicators within countries when direct measurement is difficult.We have developed methods that utilize spatially distributed information, including night-time light imagery and population to model the distribution of income per capita, as a proxy for wealth, at the country and sub-national level to support the estimation of the distribution of correlated health indicators. RESULTS: A first set of analysis are performed in order to propose a new global model for the prediction of income per capita at the country level. A second set of analysis is then confirming the possibility to transfer the country level approach to the sub-national level on a country by country basis before underlining the difficulties to create a global or regional models for the extrapolation of sub-national figures when no country data set exists. CONCLUSIONS: The methods described provide promising results for the extrapolation of national and sub-national income per capita figures. These results are then discussed in order to evaluate if the proposed methods could not represent an alternative approach for the generation of consistent country specific and/or global poverty maps disaggregated to some sub-national level.
Address Evidence and Information for Policy, World Health Organization, Av, Appia 20, 1211 Geneva 27, Switzerland. ebeners@who.int
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Language English Summary Language Original Title
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ISSN 1476-072X ISBN Medium
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Notes PMID:15705196; PMCID:PMC549533 Approved no
Call Number IDA @ john @ Serial 125
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Author Ren, Z.; Liu, Y.; Chen, B.; Xu, B.
Title Where Does Nighttime Light Come From? Insights from Source Detection and Error Attribution Type Journal Article
Year 2020 Publication Remote Sensing Abbreviated Journal Remote Sensing
Volume 12 Issue 12 Pages 1922
Keywords Remote Sensing
Abstract Nighttime light remote sensing has aroused great popularity because of its advantage in estimating socioeconomic indicators and quantifying human activities in response to the changing world. Despite many advances that have been made in method development and implementation of nighttime light remote sensing over the past decades, limited studies have dived into answering the question: Where does nighttime light come from? This hinders our capability of identifying specific sources of nighttime light in urbanized regions. Addressing this shortcoming, here we proposed a parcel-oriented temporal linear unmixing method (POTLUM) to identify specific nighttime light sources with the integration of land use data. Ratio of root mean square error was used as the measure to assess the unmixing accuracy, and parcel purity index and source sufficiency index were proposed to attribute unmixing errors. Using the Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime light dataset from the Suomi National Polar-Orbiting Partnership (NPP) satellite and the newly released Essential Urban Land Use Categories in China (EULUC-China) product, we applied the proposed method and conducted experiments in two China cities with different sizes, Shanghai and Quzhou. Results of the POTLUM showed its relatively robust applicability of detecting specific nighttime light sources, achieving an rRMSE of 3.38% and 1.04% in Shanghai and Quzhou, respectively. The major unmixing errors resulted from using impure land parcels as endmembers (i.e., parcel purity index for Shanghai and Quzhou: 54.48%, 64.09%, respectively), but it also showed that predefined light sources are sufficient (i.e., source sufficiency index for Shanghai and Quzhou: 96.53%, 99.55%, respectively). The method presented in this study makes it possible to identify specific sources of nighttime light and is expected to enrich the estimation of structural socioeconomic indicators, as well as better support various applications in urban planning and management.
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ISSN 2072-4292 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 3032
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