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Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space

Author

Listed:
  • Doreen S. Boyd

    (University of Nottingham
    University of Nottingham)

  • Bertrand Perrat

    (University of Nottingham
    University of Nottingham)

  • Xiaodong Li

    (Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei Province)

  • Bethany Jackson

    (University of Nottingham
    University of Nottingham)

  • Todd Landman

    (University of Nottingham
    University of Nottingham)

  • Feng Ling

    (Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei Province)

  • Kevin Bales

    (University of Nottingham
    University of Nottingham)

  • Austin Choi-Fitzpatrick

    (University of Nottingham
    University of Nottingham
    University of San Diego)

  • James Goulding

    (University of Nottingham
    University of Nottingham)

  • Stuart Marsh

    (University of Nottingham
    University of Nottingham)

  • Giles M. Foody

    (University of Nottingham
    University of Nottingham)

Abstract

This article provides an example of the ways in which remote sensing, Earth observation, and machine learning can be deployed to provide the most up to date quantitative portrait of the South Asian ‘Brick Belt’, with a view to understanding the extent of the prevalence of modern slavery and exploitative labour. This analysis represents the first of its kind in estimating the spatiotemporal patterns in the Bull’s Trench Kilns across the Brick Belt, as well as its connections with various UN Sustainable Development Goals (SDGs). With a principal focus on Sustainable Development Goal Target 8.7 regarding the effective measures to end modern slavery by 2030, the article provides additional evidence on the intersections that exist between SDG 8.7 and those relating to urbanisation (SDG 11, 12), environmental degradation and pollution (SDG 3, 14, 15), and climate change (SDG 13). Our findings are then used to make a series of pragmatic suggestions for mitigating the most extreme SDG risks associated with brick production in ways that can improve human lives and human freedom.

Suggested Citation

  • Doreen S. Boyd & Bertrand Perrat & Xiaodong Li & Bethany Jackson & Todd Landman & Feng Ling & Kevin Bales & Austin Choi-Fitzpatrick & James Goulding & Stuart Marsh & Giles M. Foody, 2021. "Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-14, December.
    • Handle: RePEc:pal:palcom:v:8:y:2021:i:1:d:10.1057_s41599-021-00792-z
    DOI: 10.1057/s41599-021-00792-z
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    References listed on IDEAS

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    1. Bernard W. Silverman, 2020. "Multiple‐systems analysis for the quantification of modern slavery: classical and Bayesian approaches," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 691-736, June.
    2. Charlotta Mellander & José Lobo & Kevin Stolarick & Zara Matheson, 2015. "Night-Time Light Data: A Good Proxy Measure for Economic Activity?," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-18, October.
    3. Min,Brian, 2015. "Power and the Vote," Cambridge Books, Cambridge University Press, number 9781107525382, November.
    4. Chloe Brown & Anna Daniels & Doreen S. Boyd & Andrew Sowter & Giles Foody & Siddharth Kara, 2020. "Investigating the Potential of Radar Interferometry for Monitoring Rural Artisanal Cobalt Mines in the Democratic Republic of the Congo," Sustainability, MDPI, vol. 12(23), pages 1-20, November.
    5. Todd Landman & Bernard W. Silverman, 2019. "Globalization and Modern Slavery," Politics and Governance, Cogitatio Press, vol. 7(4), pages 275-290.
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