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Author NETL.
Title Lighting market characterization vol. 1 National lighting inventory and energy consumption estimate 9/02. Type Journal Article
Year 2002 Publication Abbreviated Journal
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Keywords Remote Sensing
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Call Number LoNNe @ kagoburian @ Serial 962
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Author Pandey, B.; Joshi, P. K.; Seto, K. C.
Title Monitoring urbanization dynamics in India using DMSP/OLS night time lights and SPOT-VGT data Type Journal Article
Year 2013 Publication International Journal of Applied Earth Observation and Geoinformation Abbreviated Journal
Volume 23 Issue Pages 49–61
Keywords Remote Sensing
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Call Number LoNNe @ kagoburian @ Serial 963
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Author Pindar, A.; Papetti, M.
Title Public Procurement of Energy Saving Technologies in Europe (PROST) Report on the Country Study for Italy: Task 2a-Current Public Sector Purchasing. Type Journal Article
Year 2002 Publication Building, and Replacement Practices Task 4b-PICO Feasibility Study Abbreviated Journal
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Keywords Remote Sensing
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Call Number LoNNe @ kagoburian @ Serial 966
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Author Rosa Infantes, D.
Title The Road Runner System Type Journal Article
Year 2011 Publication In IV International Symposium for Dark Sky Parks. Montsec. Abbreviated Journal
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Keywords Remote Sensing
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Call Number LoNNe @ kagoburian @ Serial 968
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Author Mann, M.; Melaas, E.; Malik, A.
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 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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ISSN 2072-4292 ISBN Medium
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Call Number LoNNe @ kyba @ Serial 1515
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