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Author Manning, R., Newman, P., Barber, J., Monz, C., Hallo, J., & Lawson, S. openurl 
  Title Principles for Studying and Managing Natural Quiet and Natural Darkness in National Parks and Other Protected Areas Type Journal Article
  Year 2018 Publication The George Wright Forum Abbreviated Journal  
  Volume 35 Issue 3 Pages 350-362  
  Keywords Conservation; Planning; Regulation  
  Abstract (up) A substantial body of research on natural quiet and natural darkness in national

parks, and protected areas more broadly, has been reported in the scientific and professional literature in recent years. However, this literature is widely scattered over many academic and professional journals that cover both the natural and social sciences. To help integrate and synthesize this body of work, we surveyed this diverse literature and collected representative examples in a book (Manning et al. 2018). We conclude our book with a series of principles

that we have distilled to help guide park managers to protect natural quiet and natural darkness. This paper presents those principles.

Much of our book focuses on national parks in the United States, and in the remainder of this paper the phrase “the national parks” refers to them. But we feel that the principles we have derived from our review of the scientific and professional literature on natural quiet and natural darkness apply equally well to a variety of parks and protected areas in the United States and elsewhere.

Natural quiet is generally defined as the sounds of nature uninterrupted by human-caused noise, and natural darkness is darkness unaffected by human-caused light. It is important to note that natural quiet and natural darkness do not necessarily mean absolute quiet or darkness, as the natural world often generates sounds of its own (e.g., birds calling, wind blowing,

rivers rushing) and has sources of illumination (e.g., the glow of celestial bodies and the fluorescence of some plants and animals).
 
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  Notes Approved no  
  Call Number IDA @ intern @ Serial 2297  
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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.  
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  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  
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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.  
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  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 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  
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  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 Li, K.; Chen, Y. url  doi
openurl 
  Title A Genetic Algorithm-Based Urban Cluster Automatic Threshold Method by Combining VIIRS DNB, NDVI, and NDBI to Monitor Urbanization Type Journal Article
  Year 2018 Publication Remote Sensing Abbreviated Journal Remote Sensing  
  Volume 10 Issue 2 Pages 277  
  Keywords Remote Sensing  
  Abstract (up) Accurate and timely information related to quantitative descriptions and spatial distributions of urban areas is crucial to understand urbanization dynamics and is also helpful to address environmental issues associated with rapid urban land-cover changes. Thresholding is acknowledged as the most popular and practical way to extract urban information from nighttime lights. However, the difficulty of determining optimal threshold remains challenging to applications of this method. In order to address the problem of selecting thresholds, a Genetic Algorithm-based urban cluster automatic threshold (GA-UCAT) method by combining Visible-Infrared Imager-Radiometer Suite Day/Night band (VIIRS DNB), Normalized Difference Vegetation Index (NDVI), and Normalized Difference Built-up Index (NDBI) is proposed to distinguish urban areas from dark rural background in NTL images. The key point of this proposed method is to design an appropriate fitness function of GA by means of integrating between-class variance and inter-class variance with all these three data sources to determine optimal thresholds. In accuracy assessments by comparing with ground truth—Landsat 8 OLI images, this new method has been validated and results with OA (Overall Accuracy) ranging from 0.854 to 0.913 and Kappa ranging from 0.699 to 0.722 show that the GA-UCAT approach is capable of describing spatial distributions and giving detailed information of urban extents. Additionally, there is discussion on different classifications of rural residential spots in Landsat remote sensing images and nighttime light (NTL) and evaluations of spatial-temporal development patterns of five selected Chinese urban clusters from 2012 to 2017 on utilizing this proposed method. The new method shows great potential to map global urban information in a simple and accurate way and to help address urban environmental issues.  
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  Series Volume Series Issue Edition  
  ISSN 2072-4292 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2340  
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