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Feasibility of a new-generation nighttime light data for estimating in-use steel stock of buildings and civil engineering infrastructures

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  • Liang, Hanwei
  • Dong, Liang
  • Tanikawa, Hiroki
  • Zhang, Ning
  • Gao, Zhiqiu
  • Luo, Xiao

Abstract

Regional scale estimation of in-use steel stock (IUSS) using satellite observation of nighttime lights (NTL) is essential for urban resource consumption management and resource recovery monitoring. S-NPP VIIRS (Suomi National Polar-orbiting Partnership’s Visible Infrared Imaging Radiometer Suite) NTL product is newly released in 2013, which has enhancements in both spatial and radiometric resolutions compared with the DMSP-OLS (Defense Meteorological Satellite Program’s Operational Linescan System) NTL products. To evaluate whether these enhancements can improve the estimations of IUSS of buildings (IUSSB) and civil engineering infrastructure (IUSSCE), the S-NPP VIIRS NTL products were used to estimate IUSSB and IUSSCE at both sub-national level of Japan and national level of world, and their performances were compared with those of using DMSP-OLS radiance calibrated (RC) NTL data. Our results indicate that the S-NPP VIIRS NTL data can offer more accurate estimates of IUSSB and IUSSCE (R2 values of 0.952 and 0.909) than those of DMSP-OLS RC NTL (R2 of 0.929 and 0.884) at prefectural level of Japan. Similar to DMSP-OLS RC NTL product, urban NTL of S-NPP VIIRS data has a stronger relationship with IUSSB, and IUSSCE was more closely related to total NTL. At national level, S-NPP VIIRS NTL also showed better estimations of IUSSB and IUSSCE. We confirmed that dividing the world into different regional groups is also required for estimating IUSSB and IUSSCE from S-NPP VIIRS NTL. For estimation of IUSSCE, two classifications including Asia region and Non-Asia region are appropriate when using S-NPP VIIRS NTL product, which is superior to DMSP-OLS RC NTL. For estimation of IUSSB, more classifications may be still required which is similar to DMSP-OLS RC NTL. Overall, our study indicated that S-NPP VIIRS data have greater capability in modeling IUSSB and IUSSCE than DMSP-OLS RC data. Our results are critical for ever-improvement of policy making on urban resource management.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:recore:v:123:y:2017:i:c:p:11-23
    DOI: 10.1016/j.resconrec.2016.04.001
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    1. Tilottama Ghosh & Christopher D. Elvidge & Paul C. Sutton & Kimberly E. Baugh & Daniel Ziskin & Benjamin T. Tuttle, 2010. "Creating a Global Grid of Distributed Fossil Fuel CO 2 Emissions from Nighttime Satellite Imagery," Energies, MDPI, vol. 3(12), pages 1-19, December.
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    5. Christopher D. Elvidge & Daniel Ziskin & Kimberly E. Baugh & Benjamin T. Tuttle & Tilottama Ghosh & Dee W. Pack & Edward H. Erwin & Mikhail Zhizhin, 2009. "A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data," Energies, MDPI, vol. 2(3), pages 1-28, August.
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    1. Dai, Tiejun & Yue, Zhongchun, 2023. "The evolution and decoupling of in-use stocks in Beijing," Ecological Economics, Elsevier, vol. 203(C).

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