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

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

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...

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Main Authors: 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
Format: Article
Language:English
Published: Springer Nature 2021-05-01
Series:Humanities & Social Sciences Communications
Online Access:https://doi.org/10.1057/s41599-021-00792-z
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spelling doaj-702824472f524631970ff485dd5b41d92021-05-16T11:05:36ZengSpringer NatureHumanities & Social Sciences Communications2662-99922021-05-018111410.1057/s41599-021-00792-zInforming action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from spaceDoreen S. Boyd0Bertrand Perrat1Xiaodong Li2Bethany Jackson3Todd Landman4Feng Ling5Kevin Bales6Austin Choi-Fitzpatrick7James Goulding8Stuart Marsh9Giles M. Foody10Rights Lab, University of NottinghamRights Lab, University of NottinghamInnovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei ProvinceRights Lab, University of NottinghamRights Lab, University of NottinghamInnovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei ProvinceRights Lab, University of NottinghamRights Lab, University of NottinghamRights Lab, University of NottinghamRights Lab, University of NottinghamRights Lab, University of NottinghamAbstract 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.https://doi.org/10.1057/s41599-021-00792-z
collection DOAJ
language English
format Article
sources DOAJ
author 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
spellingShingle 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
Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space
Humanities & Social Sciences Communications
author_facet 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
author_sort Doreen S. Boyd
title Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space
title_short Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space
title_full Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space
title_fullStr Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space
title_full_unstemmed Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space
title_sort informing action for united nations sdg target 8.7 and interdependent sdgs: examining modern slavery from space
publisher Springer Nature
series Humanities & Social Sciences Communications
issn 2662-9992
publishDate 2021-05-01
description 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.
url https://doi.org/10.1057/s41599-021-00792-z
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