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Author Nordhaus, W.; Chen, X.
Title (up) A sharper image? Estimates of the precision of nighttime lights as a proxy for economic statistics Type Journal Article
Year 2014 Publication Journal of Economic Geography Abbreviated Journal J of Econ Geog
Volume 15 Issue 1 Pages 217-246
Keywords Nighttime lights; luminosity; output measurement; national accounts; proxy measures; social science; economics; remote sensing
Abstract Much aggregate social-science analysis relies upon the standard national income and product accounts as a source of economic data. These are recognized to be defective in many poor countries, and are missing at the regional level for large parts of the world. Using updated luminosity (or nighttime lights) data, the present study examines whether such data contain useful information for estimating national and regional incomes and output. The bootstrap method is used for estimating the statistical precision of the estimates of the contribution of the lights proxy. We conclude that there may be substantial cross-sectional information in lights data for countries with low-quality statistical systems. However, lights data provide very little additional information for countries with high-quality data wherever standard data are available. The largest statistical concerns arise from uncertainties about the precision of standard national accounts data.
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Corporate Author Thesis
Publisher Oxford University Press Place of Publication Editor
Language English Summary Language Original Title
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ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 363
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Author Cao, X.; Hu, Y.; Zhu, X.; Shi, F.; Zhuo, L.; Chen, J.
Title (up) A simple self-adjusting model for correcting the blooming effects in DMSP-OLS nighttime light images Type Journal Article
Year 2019 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment
Volume 224 Issue Pages 401-411
Keywords Remote Sensing
Abstract Night-time light (NTL) data from the Defense Meteorological Satellite Program (DMSP) Operation Linescan System (OLS) provide important observations of human activities; however, DMSP-OLS NTL data suffer from problems such as saturation and blooming. This research developed a self-adjusting model (SEAM) to correct blooming effects in DMSP-OLS NTL data based on a spatial response function and without using any ancillary data. By assuming that the pixels adjacent to the background contain no lights (i.e., pseudo light pixels, PLPs), the blooming effect intensity, a parameter in the SEAM model, can be estimated by pixel-based regression using PLPs and their neighboring light sources. SEAM was applied to all of China, and its performance was assessed for twelve cities with different population sizes. The results show that SEAM can largely reduce the blooming effect in the original DMSP-OLS dataset and enhance its quality. The images after blooming effect correction have higher spatial similarity with Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (VIIRS) images and higher spatial variability than the original DMSP-OLS data. We also found that the average effective blooming distance is approximately 3.5 km in China, which may be amplified if the city is surrounded by water surfaces, and that the blooming effect intensity is positively correlated to atmospheric quality. The effectiveness of the proposed model will improve the capacity of DMSP-OLS images for mapping the urban extent and modeling socioeconomic parameters.
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Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0034-4257 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2239
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Author Birriel, J.; Adkins, J. K.
Title (up) A Simple, Portable Apparatus to Measure Night Sky Brightness at Various Zenith Angles Type Journal Article
Year 2010 Publication The Journal of the American Association of Variable Star Observers Abbreviated Journal
Volume 38 Issue Pages 221
Keywords Remote Sensing
Abstract We describe a simple apparatus for making measurements of night sky brightness as a function of zenith and azimuth using “off-the-shelf” equipment: a Unihedron Sky Quality Meter with Lens, a protractor with plumb-line, a tripod, and a hand-held compass. Compared to a photoelectric or CCD photometric system, this apparatus is simple to set up and use and does not require complex data reduction procedures. Thus, this apparatus makes measurements of night sky brightness as a function of zenith and azimuthal angles quite amenable to students.
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Publisher Place of Publication Editor
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Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kagoburian @; IDA @ john @ Serial 905
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Author Duriscoe, D.M.; Anderson, S.J.; Luginbuhl, C.B.; Baugh, K.E.
Title (up) A simplified model of all-sky artificial sky glow derived from VIIRS Day/Night band data Type Journal Article
Year 2018 Publication Journal of Quantitative Spectroscopy and Radiative Transfer Abbreviated Journal Journal of Quantitative Spectroscopy and Radiative Transfer
Volume 214 Issue Pages 133-145
Keywords Skyglow; Remote Sensing
Abstract We present a simplified method using geographic analysis tools to predict the average artificial luminance over the hemisphere of the night sky, expressed as a ratio to the natural condition. The VIIRS Day/Night Band upward radiance data from the Suomi NPP orbiting satellite was used for input to the model. The method is based upon a relation between sky glow brightness and the distance from the observer to the source of upward radiance. This relationship was developed using a Garstang radiative transfer model with Day/Night Band data as input, then refined and calibrated with ground-based all-sky V-band photometric data taken under cloudless and low atmospheric aerosol conditions. An excellent correlation was found between observed sky quality and the predicted values from the remotely sensed data. Thematic maps of large regions of the earth showing predicted artificial V-band sky brightness may be quickly generated with modest computing resources. We have found a fast and accurate method based on previous work to model all-sky quality. We provide limitations to this method. The proposed model meets requirements needed by decision makers and land managers of an easy to interpret and understand metric of sky quality.
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0022-4073 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 1879
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Author Li, P.; Zhang, H.; Wang, X.; Song, X.; Shibasaki, R.
Title (up) A spatial finer electric load estimation method based on night-light satellite image Type Journal Article
Year 2020 Publication Energy Abbreviated Journal Energy
Volume 209 Issue Pages 118475
Keywords Remote Sensing
Abstract As a fundamental parameter of the electric grid, obtaining spatial electric load distribution is the premise and basis for numerous studies. As a public, world-wide, and spatialized dataset, NPP/VIIRS night-light satellite image has been long used for socio-economic information estimation, including electric consumption, while little attention has been given to the electric load estimation. Additionally, most of the previous studies were performed at a large spatial scale, which could not reflect the electric information inner a city. Therefore, this paper proposes a method to estimate electric load density at a township-level spatial scale based on NPP/VIIRS night-light satellite data. Firstly, we reveal the different fitting relationships between EC (Electric Consumption)-NLS (Night-Light Sum) and EL (Electric Load)-NLI (Night-Light Intensity). Then, we validated the spatial-scale’s influence on the estimation accuracy by experiment via generating a series of simulated datasets. After working out the super-resolution night-light image with the SRCNN (Super-Resolution Convolutional Neural Network) algorithm, we established a finer spatial estimation model. By taking a monthly data of Shanghai as a case study, we validate the model we established. The result shows that estimating electric load at township-level based on night-light satellite data is feasible, and the SRCNN algorithm can improve the performance.
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Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0360-5442 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 3068
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