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Author Baugh, K.; Elvidge, C.D.; Ghosh, T.; Ziskin, D.
Title Development of a 2009 Stable Lights Product using DMSP-OLS data Type Journal Article
Year 2013 Publication Proceedings of the Asia-Pacific Advanced Network Abbreviated Journal APAN Proceedings
Volume 30 Issue Pages 114
Keywords DMSP-OLS; remote sensing
Abstract Since 1994, NGDC has had an active program focused on global mapping of nighttime lights using the data collected by the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) sensors. The basic product is a global annual cloud-free composite, which averages the OLS visible band data for one satellite from the cloud-free segments of individual orbits. Over the years, NGDC has developed automatic algorithms for screening the quality of the nighttime visible band observations to remove areas contaminated by sunlight, moonlight, and the presence of clouds. In the Stable Lights product generation, fires and other ephemeral lights are removed based on their high brightness and short duration. Background noise is removed by setting thresholds based on visible band values found in areas known to be free of detectable lights. In 2010, NGDC released the version 4 time series of Stable Lights, spanning the years 1992-2009. These are available online at <http://www.ngdc.noaa.gov/dmsp/downloadV4composites.html>.
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Series Volume (down) Series Issue Edition
ISSN 2227-3026 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 207
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Author Zhuo, L.; Ichinose, T.; Zheng, J.; Chen, J.; Shi, P.J.; Li, X.
Title Modelling the population density of China at the pixel level based on DMSP/OLS non-radiance-calibrated night-time light images Type Journal Article
Year 2009 Publication International Journal of Remote Sensing Abbreviated Journal International Journal of Remote Sensing
Volume 30 Issue 4 Pages 1003-1018
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ISSN 0143-1161 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 208
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Author Hale, J.D.; Davies, G.; Fairbrass, A.J.; Matthews, T.J.; Rogers, C.D.F.; Sadler, J.P.
Title Mapping lightscapes: spatial patterning of artificial lighting in an urban landscape Type Journal Article
Year 2013 Publication PloS one Abbreviated Journal PLoS One
Volume 8 Issue 5 Pages e61460
Keywords *Cities; England; Environmental Pollution; Geographic Mapping; Humans; Light; *Lighting; Photography; Urban Population; *Urbanization
Abstract Artificial lighting is strongly associated with urbanisation and is increasing in its extent, brightness and spectral range. Changes in urban lighting have both positive and negative effects on city performance, yet little is known about how its character and magnitude vary across the urban landscape. A major barrier to related research, planning and governance has been the lack of lighting data at the city extent, particularly at a fine spatial resolution. Our aims were therefore to capture such data using aerial night photography and to undertake a case study of urban lighting. We present the finest scale multi-spectral lighting dataset available for an entire city and explore how lighting metrics vary with built density and land-use. We found positive relationships between artificial lighting indicators and built density at coarse spatial scales, whilst at a local level lighting varied with land-use. Manufacturing and housing are the primary land-use zones responsible for the city's brightly lit areas, yet manufacturing sites are relatively rare within the city. Our data suggests that efforts to address light pollution should broaden their focus from residential street lighting to include security lighting within manufacturing areas.
Address School of Geography, Earth and Environmental Sciences, The University of Birmingham, Birmingham, West Midlands, United Kingdom. j.hale@bham.ac.uk
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Language English Summary Language Original Title
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ISSN 1932-6203 ISBN Medium
Area Expedition Conference
Notes PMID:23671566; PMCID:PMC3646000 Approved no
Call Number IDA @ john @ Serial 209
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Author Hsu, F.-C.; Elvidge, C.D.; Matsuno, Y.
Title Exploring and estimating in-use steel stocks in civil engineering and buildings from night-time lights Type Journal Article
Year 2013 Publication International Journal of Remote Sensing Abbreviated Journal International Journal of Remote Sensing
Volume 34 Issue 2 Pages 490-504
Keywords architecture; engineering; light at night
Abstract Steel is the most widely used metal in the world, and numerous studies have investigated its stock and flow. Two basic methods for analysing material flow and accounting for stock are the top-down and bottom-up approaches. Their applicability, however, largely depends on data availability. To overcome this limitation, we have contemplated using satellite imagery as a proxy for missing data. In a previous study, we confirmed the correlation between night-time light radiance and civil engineering/building in-use steel stocks in Japan. In this study, the scope of the investigation was expanded to a global scale, examining correlations in different regions of the world. We found that night-time light radiance and in-use steel stocks have region-specific linear correlations, which are influenced by construction styles, which in turn depend on climate, seismic activity, cultural preferences, etc. The results were then applied to countries in the various regions whose in-use steel stocks were previously unreported. This technique produced an estimate of the global civil engineering/building in-use steel stock of around 9 × 109 tonnes (9 Gt), with 1.24 Gt being previously unreported. As a further step, this study shows the spatial distribution of civil engineering/building in-use steel stock in each region.
Address Department of Materials Engineering , Graduate School of Engineering, The University of Tokyo , Tokyo , 113-8656 , Japan
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Language Summary Language Original Title
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ISSN 0143-1161 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 210
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Author Li, X.; Chen, X.; Zhao, Y.; Xu, J.; Chen, F.; Li, H.
Title Automatic intercalibration of night-time light imagery using robust regression Type Journal Article
Year 2013 Publication Remote Sensing Letters Abbreviated Journal Remote Sensing Letters
Volume 4 Issue 1 Pages 45-54
Keywords remote sensing; light at night
Abstract In remote-sensing community, radiometric calibration of night-time light images has long been a problem, hindering change detection of images in different dates. Currently, an intercalibration model is regarded as the unique solution for the problem, but prior knowledge is needed to extract reference pixels with stable lights, which are hard to obtain in most of the applications. This study proposed an automatic algorithm to extract the reference pixels for convenient use of the intercalibration model, with an assumption that there are sufficient pixels with stable night-time lights in the multi-temporal images. To automatically extract the stable pixels from images in two dates, all pixels in the two dates were entered into a linear regression model, and the outliers viewed as suspected changed pixels were discarded iteratively. Consequently, some stable pixels were extracted and the intercalibration model was implemented. Annual night-time light composites in Beijing, China, from 1992 to 2010 were taken as the study material, and the results show that the multi-temporal calibrated night-time light data have higher correlation with gross domestic production (GDP) (R 2&#8201;=&#8201;0.8734) and urban population (UP) (R 2&#8201;=&#8201;0.9269) than those of the uncalibrated images (with the R 2 values 0.7963 and 0.8575, respectively). Furthermore, the data inconsistency from different night-time light satellites in the same year was reduced with the proposed algorithm. The results demonstrate that the proposed algorithm is effective in intercalibrating the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) images automatically.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume (down) Series Issue Edition
ISSN 2150-704X ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 211
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