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Author Lammerts, W.E.
Title The effect of continuous light, high nutrient level and temperature on flowering of camellia hybrids Type Journal Article
Year 1949 Publication American Camellia Yearbook Abbreviated Journal
Volume Issue (up) Pages 53-56
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Call Number GFZ @ kyba @ Serial 2466
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Author Jasiński, T.
Title Modeling electricity consumption using nighttime light images and artificial neural networks Type Journal Article
Year 2019 Publication Energy Abbreviated Journal Energy
Volume 179 Issue (up) Pages 831-842
Keywords Remote Sensing
Abstract The purpose of this paper is to model electricity consumption using Artificial Neural Networks (ANN). Total electricity consumption and consumption generated by households (HH) were modeled. The input variables of the ANN were based on nighttime light images from VIIRS DNB. Studies conducted thus far have covered mainly linear models. Most of case studies focused on single countries or groups of countries with only few focusing on the sub-national scale. This paper is pioneering in covering an area of Poland (Central Europe) at NUTS-2 level. The use of ANN enabled the modeling of the non-linear relations associated with the complex structure of electricity demand. Satellite data were collected for the period 2013–2016, and included images with improved quality (inter alia higher resolution), compared to the DMSP/OLS program. As images are available from April 2012 onwards, it is only recently that their number has become sufficient for ANN learning. The images were used to create models of multilayer perceptrons. The results achieved by ANN were compared with the results obtained using linear regressions. Studies have confirmed that electricity consumption can be determined with higher precision by the ANN method.
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ISSN 0360-5442 ISBN Medium
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Notes Approved no
Call Number GFZ @ kyba @ Serial 2475
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Author Keola, S.; Andersson, M.; Hall, O.
Title Monitoring Economic Development from Space: Using Nighttime Light and Land Cover Data to Measure Economic Growth Type Journal Article
Year 2015 Publication World Development Abbreviated Journal World Development
Volume 66 Issue (up) Pages 322-334
Keywords Remote Sensing
Abstract This study demonstrates estimations of economic activities on global, national, and subnational levels using remote sensing data, with a focus on developing economies. It extends a recent statistical framework which uses nighttime lights to estimate official income growth by accounting for agriculture and forestry which emit less or no additional observable nighttime light. The study argues that nighttime lights alone may not explain value-added by agriculture and forestry. By adding land cover data, our framework can be used to estimate economic growth in administrative areas of virtually any size.
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ISSN 0305750X ISBN Medium
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Notes Approved no
Call Number GFZ @ kyba @ Serial 2476
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Author Marx, A.; Ziegler Rogers, M.
Title Analysis of Panamanian DMSP/OLS nightlights corroborates suspicions of inaccurate fiscal data: A natural experiment examining the accuracy of GDP data Type Journal Article
Year 2017 Publication Remote Sensing Applications: Society and Environment Abbreviated Journal Remote Sensing Applications: Society and Environment
Volume 8 Issue (up) Pages 99-104
Keywords Remote Sensing
Abstract Governments have incentives to misreport their economic productivity to advance their political goals. These incentives have long been understood, but the validity of government data has been difficult to estimate in the absence of viable external estimates. Using historic Defense Meteorological Satellite Program's Operational Linescan System nightlights imagery we corroborate reports that Panama's government data has been increasingly politicised since the handover of the Panama Canal on 31 December 1999. The Canal Handover represents a “natural experiment” in which the production of government data changed in Panama for reasons separate from the desire to manipulate that data. The amount of light a country produces at night, known as nightlight production, has been shown to strongly correlate with GDP. Using subnational Panamanian nightlight production from 1996 to 2012, we detect a significant divergence between the relationship of subnational reported GDP and nightlights before the Canal handover (when the U.S.A. was very involved in their statistical agencies) and the correlation after the handover (with no U.S. involvement). Our results indicate that between 2000 and 2012, Panama reported approximately 19% more GDP than what was expected by their nightlight production from 2000 to 2012, or a total of around 40 billion U.S. dollars. Our results suggest governments may engage in political manipulation of government statistics to improve the appearance of government performance. While indirect data can never definitely confirm economic phenomena, this analysis presents a unique research design and application of historic satellite imagery to corroborate reports of GDP misreporting.
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ISSN 2352-9385 ISBN Medium
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Notes Approved no
Call Number GFZ @ kyba @ Serial 2479
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Author Wang, L.; Wang, S.; Zhou, Y.; Liu, W.; Hou, Y.; Zhu, J.; Wang, F.
Title Mapping population density in China between 1990 and 2010 using remote sensing Type Journal Article
Year 2018 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment
Volume 210 Issue (up) Pages 269-281
Keywords Remote Sensing
Abstract Knowledge of the spatial distribution of populations at finer spatial scales is of significant value and fundamental to many applications such as environmental change, urbanization, regional planning, public health, and disaster management. However, detailed assessment of the population distribution data of countries that have large populations (such as China) and significant variation in distribution requires improved data processing methods and spatialization models. This paper described the construction of a novel population spatialization method by combining land use/cover data and night-light data. Based on the analysis of data characteristics, the method used partial correlation analysis and geographically weighted regression to improve the distribution accuracy and reduce regional errors. China's census data for the years 1990, 2000, and 2010 were assessed. The results showed that the method was better at population spatialization than methods that use only night-light data or land use/cover data and global linear regression. Evaluation of overall accuracies revealed that the coefficient of correlation R-square was >0.90 and increased by >0.13 in the years 1990, 2000, and 2010. Moreover, the local R-square of over 90% of the samples (counties) was higher than the adjusted R-square of the general linear regression model. Furthermore, the gridded population density datasets obtained by this method can be used to analyse spatial-temporal patterns of population density and provide population distribution information with increased accuracy and precision compared to conventional models.
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ISSN 0034-4257 ISBN Medium
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Notes Approved no
Call Number GFZ @ kyba @ Serial 2480
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