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Author Maxwell, M. R., Henry, A., Elvidge, C. D., Safran, J., Hobson, V. R., Nelson, I., Tuttle, B. T., Dietz, J. B., & Hunter, J. R. url  openurl
  Title Fishery dynamics of the California market squid (Loligo opalescens), as measured by satellite remote sensing Type Journal Article
  Year 2004 Publication Fishery Bulletin Abbreviated Journal  
  Volume 102 Issue 4 Pages 661-670  
  Keywords Remote Sensing  
  Abstract Novel data on the spatial and temporal distribution of fishing effort and population abundance are presented for the market squid fishery (Loligo opalescens) in the Southern California Bight, 1992−2000. Fishing effort was measured by the detection of boat lights by the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS). Visual confirmation of fishing vessels by nocturnal aerial surveys indicated that lights detected by satellites are reliable indicators of fishing effort. Overall, fishing activity was concentrated off the following Channel Islands: Santa Rosa, Santa Cruz, Anacapa, and Santa Catalina. Fishing activity occurred at depths of 100 m or less. Landings, effort, and squid abundance (measured as landings per unit of effort, LPUE) markedly declined during the 1997−98 El Niño; landings and LPUE increased afterwards. Within a fishing season, the location of fishing activity shifted from the northern shores of Santa Rosa and Santa Cruz Islands in October, the typical starting date for squid fishing in the Bight, to the southern shores by March, the typical end of the squid season. Light detection by satellites offers a source of fine-scale spatial and temporal data on fishing effort for the market squid fishery off California, and these data can be integrated with environmental data and fishing logbook data in the development of a management plan.  
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  Notes Approved no  
  Call Number IDA @ intern @ Serial 2471  
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Author Garstang, R. H. url  openurl
  Title Light Pollution at Mount Wilson and at Palomar in 1931-32 Type Journal Article
  Year 2002 Publication The Observatory Abbreviated Journal  
  Volume 122 Issue Pages  
  Keywords Skyglow  
  Abstract I present a short summary of an unpublished letter by Joel Stebbins on light pollution at Mount Wilson Observatory and on Palmar Mountain in 1931-32. I analyzed his results and show that the light emission per capita in 1932 – o was about 3*1*10^17 photons s^-1 in the blue region, equivalent to about 220 lumens per head in the visual region. These my be compared with about 1*4*10^18 photons s^-1 in the blue region and about 1000 lumens per head in the visual region for California cities in 1970.  
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  Notes Approved no  
  Call Number IDA @ intern @ Serial 2622  
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Author Garstang, R. H. url  openurl
  Title Limiting visual magnitude and night sky brightness Type Journal Article
  Year 2000 Publication Memorie della Società Astronomia Italiana Abbreviated Journal  
  Volume 71 Issue Pages  
  Keywords Skyglow  
  Abstract We review the theory of visual thresholds and applications to the limiting magnitude of a telescope and of the eyes, based on Schaefers's model with minor improvements. We apply out formulation to the Yerkes Observatory refractor and to naked eye observations at Mount Wilson Observatory. We reanalyze Bowen's telescopic observations at Mount Wilson by his approximate method and by our more elaborate theory. An extension of his method leads to a determination of the night sky brightness of the visual activity of the observer is assumed to be average. Our more elaborate method allows a determination of the sky brightness, the visual acuity of the observer, and the average seeing during the observations.  
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  Notes Approved no  
  Call Number IDA @ intern @ Serial 2623  
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Author Zangeneh, P.; Hamledari, H.; McCabe, B. url  doi
openurl 
  Title Quantifying Remoteness for Risk and Resilience Assessment Using Nighttime Satellite Imagery Type Journal Article
  Year 2020 Publication Journal of Computing in Civil Engineering Abbreviated Journal J. Comput. Civ. Eng.  
  Volume 34 Issue 5 Pages 04020026  
  Keywords Remote Sensing  
  Abstract Remoteness has a crucial role in risk assessments of megaprojects, resilience assessments of communities and infrastructure, and a wide range of public policymaking. The existing measures of remoteness require an extensive amount of population census and of road and infrastructure network data, and often are limited to narrow scopes. This paper presents a methodology to quantify remoteness using nighttime satellite imagery. The light clusters of nighttime satellite imagery are direct yet unintended consequences of human settled populations and urbanization; therefore, the absence of illuminated clusters is considered as evidence of remoteness. The proposed nighttime remoteness index (NIRI) conceptualizes the remoteness based on the distribution of nighttime lights within radii of up to 1,000 km. A predictive model was created using machine learning techniques such as multivariate adaptive regression splines and support vector machines regressions to establish a reliable and accurate link between nighttime lights and the Accessibility/Remoteness Index of Australia (ARIA). The model was used to establish NIRI for the United States and Canada, and in different years. The index was compared with the Canadian remoteness indexes published by Statistics Canada.  
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  Series Volume Series Issue Edition  
  ISSN 0887-3801 ISBN Medium  
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  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2937  
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Author Lazar, M. url  doi
openurl 
  Title Shedding Light on the Global Distribution of Economic Activity Type Journal Article
  Year 2010 Publication The Open Geography Journal Abbreviated Journal Togeogj  
  Volume 3 Issue 1 Pages 147-160  
  Keywords Economics; Remote Sensing  
  Abstract Collection of data on economic variables, especially sub-national income levels, is problematic, due to various shortcomings in the data collection process. Additionally, the informal economy is often excluded from official statistics. Nighttime lights satellite imagery and the LandScan population grid provide an alternative means for measuring economic activity. We have developed a model for creating a disaggregated map of estimated total (formal plus informal) economic activity for countries and states of the world. Regression models were developed to calibrate the sum of lights to official measures of economic activity at the sub-national level for China, India, Mexico, and the United States and at the national level for other countries of the world, and subsequently unique coefficients were derived. Multiplying the unique coefficients with the sum of lights provided estimates of total economic activity, which were spatially distributed to generate a spatially disaggregated 1 km2 map of total economic activity.  
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  ISSN 1874-9232 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2440  
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