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Author Li, Q.F.; Yang, G.X.; Yu, L.H.; Zhang, H. url  doi
openurl 
  Title A survey of the luminance distribution in the nocturnal environment in Shanghai urban areas and the control of luminance of floodlit buildings Type Journal Article
  Year 2006 Publication Lighting Research & Technology Abbreviated Journal Lighting Research & Technology  
  Volume 38 Issue 3 Pages 185-189  
  Keywords Lighting  
  Abstract (up) A survey of the luminance distribution of the nocturnal environment in Shanghai urban areas, which included 11 locations and 16 buildings, was made. The 11 locations could be categorized as commercial, administration, leisure or residential. The average environmental luminance of these was recorded. The authors identified the effects of excessive exterior lighting. The luminance was measured and subjective appraisals made of 16 buildings. The writers have developed an empirical formula for arriving at the brightness level rating for floodlit buildings and recommended corresponding working ranges of luminance.  
  Address  
  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 1477-1535 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2715  
Permanent link to this record
 

 
Author L.Imhoff, M.; Lawrence, W.T.; Stutzer, D.C.; Elvidge, C.D. url  doi
openurl 
  Title A technique for using composite DMSP/OLS “City Lights” satellite data to map urban area Type Journal Article
  Year 1997 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume 61 Issue 3 Pages 361-370  
  Keywords Remote Sensing  
  Abstract (up) A Tresholding technique was used to convert a prototype “city lights” data set from the National Oceanic and Atmospheric Administration's National Geophysical Data Center (NOAAINGDC) into a map of “urban areas” for the continental United States. Thresholding was required to adapt the Defense Meteorological Satellite Program's Operational Linescan System (DMSPIOLS)-based NGDC data set into an urban map because the values reported in the prototype represent a cumulative percentage lighted for each pixel extracted from hundreds of nighttime cloud screened orbits, rather than any suitable land-cover classification. The cumulative percentage lighted data could not be used alone because the very high gain of the OLS nighttime photomultiplier configuration can. lead to a pixel (2.7X2.7 km) appearing “lighted” even with very low intensity, nonurban light sources. We found that a threshold of %89% yielded the best results, removing ephemeral light sources and “blooming” of light onto water when adjacent to cities while still leaving the dense urban core intact. This approach gave very good results when compared with the urban areas as defined by the 1990 U. S. Census; the “urban” area from our analysis being only 5% less than that of the Census. The Census was also used to derive population.- and housing-density statistics for the continent-wide “city lights” analysis; these averaged 1033 persons/km2 and 426 housing units/ king, respectively. The use of a nighttime sensor to determine the location and estimate the density of population based on light sources has proved feasible in this exploratory effort. However, issues concerning the use of census data as a benchmark for evaluating the accuracy of remotely sensed imagery are discussed, and potential improvements in the sensor regarding spatial resolution, instrument gain, and pointing accuracy are addressed.  
  Address  
  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 0034-4257 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2220  
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Author Grove, L. pdf  url
openurl 
  Title Reducing Acadia's Light Pollution Type Manuscript
  Year 2016 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords Conservation; Society; Economics; Acadia National Park; Maine; benefit cost analysis; astrotourism; contingent valuation method; dark sky places; dark sky park  
  Abstract (up) Acadia National Park is among the most visited national parks in the United States, attracting millions of people per year. Thousands of those visitors come to the park for “astro-tourism,” as Acadia has become one of the premier stargazing locations on the east coast. There remains, however, the continued threat from light pollution from the surrounding communities that negatively affects Acadia's darkness, contributing to a lesser visitor experience and potentially harming native ecosystems. Although park management and community organizations have engaged in significant efforts to decrease Acadia's nighttime light levels and raise awareness among visitors and locals regarding the importance of darkness, the park still seek to continue to decrease light pollution. This report developed policy options that could help solve the long-term policy goal of decreasing nighttime lighting levels within and around Acadia while also using the International Dark-Sky Association's Dark-Sky Park designation requirements as a reasonable, short-term policy benchmark.

Working within existing organizations, the policy options crafted to address Acadia’s nighttime lighting levels were analyzed both qualitatively through a criteria evaluation and quantitatively through a Benefit Cost Analysis.

The options included 1) the formation of a Darkness Coalition within the League of Towns, 2) a reimagining of the Worcester Polytechnic Institute Dark-Sky Project into the Dark-Sky Taskforce, 3) the creation of a Lighting Consultant position paid through the Friends of Acadia Wild Acadia initiative, and 4) the combination of Coalition and the Taskforce into the League of Towns – Dark-Sky Partnership (LOT-DSP). The report recommends the adoption of Option 4 – the creation of the LOT – DSP. While this option does not provide the greatest estimated monetary net value compared to the Status Quo in the quantitative evaluation, it still provides an estimated benefit of about $105 million over the course of five years and is the strongest option in the qualitative analysis. The LOT – DSP provides the best opportunity for Acadia to achieve legitimate and long-lasting nighttime light level reduction.
 
  Address Frank Batten School of Leadership and Public Policy, Garrett Hall, 235 McCormick Road, P.O. Box 400893, Charlottesville, VA 22904-4893 USA; locher.grove(at)gmail.com  
  Corporate Author Thesis Master's thesis  
  Publisher University of Virginia Place of Publication Charlottesville Editor  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ john @ Serial 1449  
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Author Li, S.; Cheng, L.; Liu, X.; Mao, J.; Wu, J.; Li, M. url  doi
openurl 
  Title City type-oriented modeling electric power consumption in China using NPP-VIIRS nighttime stable light data Type Journal Article
  Year 2019 Publication Energy Abbreviated Journal Energy  
  Volume 189 Issue Pages 116040  
  Keywords Energy; Remote Sensing; China; electric power consumption; Night lights; Nighttime light; VIIRS-DNB  
  Abstract (up) Accelerating urbanization has created tremendous pressure on the global environment and energy supply, making accurate estimates of energy use of great importance. Most current models for estimating electric power consumption (EPC) from nighttime light (NTL) imagery are oversimplified, ignoring influential social and economic factors. Here we propose first classifying cities by economic focus and then separately estimating each category’s EPC using NTL data. We tested this approach using statistical employment data for 198 Chinese cities, 2015 NTL data from the Visible Infrared Imaging Radiometer Suite (VIIRS), and annual electricity consumption statistics. We used cluster analysis of employment by sector to divide the cities into three types (industrial, service, and technology and education), then established a linear regression model for each city's NTL and EPC. Compared with the estimation results before city classification (R2: 0.785), the R2 of the separately modeled service cities and technology and education cities increased to 0.866 and 0.830, respectively. However, the results for industrial cities were less consistent due to their more complex energy consumption structure. In general, using classification before modeling helps reflect factors affecting the relationship between EPC and NTL, making the estimation process more reasonable and improving the accuracy of the results.  
  Address School of Geography and Ocean Science, Nanjing University, Nanjing, 210023, China  
  Corporate Author Thesis  
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  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 2672  
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Author Yeh, C.; Perez, A.; Driscoll, A.; Azzari, G.; Tang, Z.; Lobell, D.; Ermon, S.; Burke, M. url  doi
openurl 
  Title Using publicly available satellite imagery and deep learning to understand economic well-being in Africa Type Journal Article
  Year 2020 Publication Nature Communications Abbreviated Journal Nat Commun  
  Volume 11 Issue 1 Pages 2583  
  Keywords Remote Sensing  
  Abstract (up) Accurate and comprehensive measurements of economic well-being are fundamental inputs into both research and policy, but such measures are unavailable at a local level in many parts of the world. Here we train deep learning models to predict survey-based estimates of asset wealth across ~ 20,000 African villages from publicly-available multispectral satellite imagery. Models can explain 70% of the variation in ground-measured village wealth in countries where the model was not trained, outperforming previous benchmarks from high-resolution imagery, and comparison with independent wealth measurements from censuses suggests that errors in satellite estimates are comparable to errors in existing ground data. Satellite-based estimates can also explain up to 50% of the variation in district-aggregated changes in wealth over time, with daytime imagery particularly useful in this task. We demonstrate the utility of satellite-based estimates for research and policy, and demonstrate their scalability by creating a wealth map for Africa's most populous country.  
  Address National Bureau of Economic Research, 1050 Massachusetts Avenue, Cambridge, MA, 02138-5398, USA. mburke@stanford.edu  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2041-1723 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:32444658 Approved no  
  Call Number GFZ @ kyba @ Serial 2939  
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