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Author Ceola, S.; Montanari, A.; Parajka, J.; Viglione, A.; Blöschl, G.; Laio, F. url  openurl
  Title Human signatures derived from nighttime lights along the Eastern Alpine river network in Austria and Italy Type Conference Article
  Year 2016 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords (down) Remote Sensing; Society; nightlights; human presence; river network; Strahler order; DMSP-OLS; OLS; DMSP-OLS; Austria; Italy; Eastern Alpine  
  Abstract Understanding how human settlements and economic activities are distributed with reference to the geographical location of streams and rivers is of fundamental relevance for several issues, such as flood risk management, drought management related to increased water demands by human population, fluvial ecosystem services, water pollution and water exploitation. Besides the spatial distribution, the evolution in time of the human presence constitutes an additional key question. This work aims at understanding and analysing the spatial and temporal evolution of human settlements and associated economic activity, derived from nighttime lights, in the Eastern Alpine region. Nightlights, available at a fine spatial resolution and for a 22-year period, constitute an

excellent data base, which allows one to explore in details human signatures. In this experiment, nightlights are associated to five distinct distance-from-river classes. Our results clearly point out an overall enhancement of human presence across the considered distance classes during the last 22 years, though presenting some differences among the study regions. In particular, the river network delineation, by considering different groups of river pixels based on the Strahler order, is found to play a central role in the identification of nightlight spatio-temporal trends.
 
  Address Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali, Università di Bologna, Bologna, Italy  
  Corporate Author Thesis  
  Publisher International Association of Hydrological Sciences Place of Publication 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 7th International Water Resources Management Conference of ICWRS, 18–20 May 2016, Bochum, Germany  
  Notes Approved no  
  Call Number IDA @ john @ Serial 1432  
Permanent link to this record
 

 
Author Katz, Y.; Levin, N. url  doi
openurl 
  Title Quantifying urban light pollution -- A comparison between field measurements and EROS-B imagery Type Journal Article
  Year 2016 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume 177 Issue Pages 65-77  
  Keywords (down) Remote Sensing; Skyglow  
  Abstract  
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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 LoNNe @ kyba @ Serial 1359  
Permanent link to this record
 

 
Author Smith, R.; Bereitschaft, B. url  doi
openurl 
  Title Sustainable Urban Development? Exploring the Locational Attributes of LEED-ND Projects in the United States through a GIS Analysis of Light Intensity and Land Use Type Journal Article
  Year 2016 Publication Sustainability Abbreviated Journal Sustainability  
  Volume 8 Issue 6 Pages 547  
  Keywords (down) Remote Sensing; Planning  
  Abstract LEED®-NDâ„¢ is the latest attempt to develop more sustainable urban environs in the

United States. The LEED®-ND™program was created to provide a green rating system that would improve the quality of life for all people through the inclusion of sustainable development practices. To achieve this, a premium is placed on the locational attributes of proposed projects under the “Smart Location and Linkages” credit category. The purpose of this paper is to explore the locational attributes of LEED®-ND™ projects in the United States to determine if projects are being located in areas that will result in achieving the program’s stated objectives. Specifically, this paper will examine two locational variables (i.e., night-time light intensity and land use cover) through the use of GIS to determine the effectiveness of these criteria.
 
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2071-1050 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ kyba @ Serial 1553  
Permanent link to this record
 

 
Author Mann, M.; Melaas, E.; Malik, A. url  doi
openurl 
  Title Using VIIRS Day/Night Band to Measure Electricity Supply Reliability: Preliminary Results from Maharashtra, India Type Journal Article
  Year 2016 Publication Remote Sensing Abbreviated Journal Remote Sensing  
  Volume 8 Issue 9 Pages 711  
  Keywords (down) Remote Sensing; NPP-VIIRS; VIIRS-DNB; India; South Asia  
  Abstract Unreliable electricity supplies are common in developing countries and impose large socio-economic costs, yet precise information on electricity reliability is typically unavailable. This paper presents preliminary results from a machine-learning approach for using satellite imagery of nighttime lights to develop estimates of electricity reliability for western India at a finer spatial scale. We use data from the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar Partnership (SNPP) satellite together with newly-available data from networked household voltage meters. Our results point to the possibilities of this approach as well as areas for refinement. With currently available training data, we find a limited ability to detect individual outages identified by household-level measurements of electricity voltage. This is likely due to the relatively small number of individual outages observed in our preliminary data. However, we find that the approach can estimate electricity reliability rates for individual locations fairly well, with the predicted versus actual regression yielding an R2 > 0.5. We also find that, despite the after midnight overpass time of the SNPP satellite, the reliability estimates derived are representative of daytime reliability.  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2072-4292 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ kyba @ Serial 1515  
Permanent link to this record
 

 
Author Dobler, G.; Ghandehari, M.; Koonin, S.E.; Sharma, M.S. url  doi
openurl 
  Title A Hyperspectral Survey of New York City Lighting Technology Type Journal Article
  Year 2016 Publication Sensors (Basel, Switzerland) Abbreviated Journal Sensors (Basel)  
  Volume 16 Issue 12 Pages 2047  
  Keywords (down) Remote Sensing; Instrumentation; Lighting  
  Abstract Using side-facing observations of the New York City (NYC) skyline, we identify lighting technologies via spectral signatures measured with Visible and Near Infrared (VNIR) hyperspectral imaging. The instrument is a scanning, single slit spectrograph with 872 spectral channels from 0.4-1.0 mu m. With a single scan, we are able to clearly match the detected spectral signatures of 13 templates of known lighting types. However, many of the observed lighting spectra do not match those that have been measured in the laboratory. We identify unknown spectra by segmenting our observations and using Template-Activated Partition (TAP) clustering with a variety of underlying unsupervised clustering methods to generate the first empirically-determined spectral catalog of roughly 40 urban lighting types. We show that, given our vantage point, we are able to determine lighting technology use for both interior and exterior lighting. Finally, we find that the total brightness of our scene shows strong peaks at the 570 nm Na – II , 595 nm Na – II and 818 nm Na – I lines that are common in high pressure sodium lamps, which dominate our observations.  
  Address NYU Center for Urban Science and Progress, 1 MetroTech Center, Brooklyn, NY 11201, USA. mohit.sharma@nyu.edu  
  Corporate Author Thesis  
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  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1424-8220 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:27929391 Approved no  
  Call Number LoNNe @ kyba @ Serial 1567  
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