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In-use stock analysis using satellite nighttime light observation data

Author

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  • Takahashi, Kazue Ichino
  • Terakado, Ryutaro
  • Nakamura, Jiro
  • Adachi, Yoshihiro
  • Elvidge, Christopher D.
  • Matsuno, Yasunari

Abstract

Nighttime light observation data are considered an economic indicator because of their strong correlation with such aspects of human activity as population, gross domestic product (GDP) and electricity consumption. We are developing an in-use stock analysis method that uses nighttime light observation data. In this study, we developed new sets of data for 1999, 2000, 2003 and 2006 with which to analyze temporal changes. The relationship between the in-use stock of copper and the net amount of nighttime light were correlated. The result shows that this analysis method can be used for evaluating the in-use stock in an area where statistical data are incomplete. We used the approach to estimate the in-use stocks of copper in Asian countries.

Suggested Citation

  • Takahashi, Kazue Ichino & Terakado, Ryutaro & Nakamura, Jiro & Adachi, Yoshihiro & Elvidge, Christopher D. & Matsuno, Yasunari, 2010. "In-use stock analysis using satellite nighttime light observation data," Resources, Conservation & Recycling, Elsevier, vol. 55(2), pages 196-200.
    • Handle: RePEc:eee:recore:v:55:y:2010:i:2:p:196-200
    DOI: 10.1016/j.resconrec.2010.09.008
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    References listed on IDEAS

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    1. Drakonakis, Konstantine & Rostkowski, Katherine & Rauch, Jason & Graedel, T.E. & Gordon, R.B., 2007. "Metal capital sustaining a North American city: Iron and copper in New Haven, CT," Resources, Conservation & Recycling, Elsevier, vol. 49(4), pages 406-420.
    2. Sutton, Paul C. & Costanza, Robert, 2002. "Global estimates of market and non-market values derived from nighttime satellite imagery, land cover, and ecosystem service valuation," Ecological Economics, Elsevier, vol. 41(3), pages 509-527, June.
    3. Spatari, S. & Bertram, M. & Gordon, Robert B. & Henderson, K. & Graedel, T.E., 2005. "Twentieth century copper stocks and flows in North America: A dynamic analysis," Ecological Economics, Elsevier, vol. 54(1), pages 37-51, July.
    4. Graedel, T. E. & Bertram, M. & Fuse, K. & Gordon, R. B. & Lifset, R. & Rechberger, H. & Spatari, S., 2002. "The contemporary European copper cycle: The characterization of technological copper cycles," Ecological Economics, Elsevier, vol. 42(1-2), pages 9-26, August.
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    Cited by:

    1. Gaoyuan Wang & Yixuan Wang & Yangli Li & Tian Chen, 2023. "Identification of Urban Clusters Based on Multisource Data—An Example of Three Major Urban Agglomerations in China," Land, MDPI, vol. 12(5), pages 1-25, May.
    2. Liang, Hanwei & Dong, Liang & Tanikawa, Hiroki & Zhang, Ning & Gao, Zhiqiu & Luo, Xiao, 2017. "Feasibility of a new-generation nighttime light data for estimating in-use steel stock of buildings and civil engineering infrastructures," Resources, Conservation & Recycling, Elsevier, vol. 123(C), pages 11-23.

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