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Open Access

Peer-reviewed

Research Article

Mapping artisanal and small-scale mines at large scale from space with deep learning

Mathieu Couttenier ,

Roles Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing

* E-mail: mathieu.couttenier@ens-lyon.fr

Affiliations GATE & Department of Economics, Ecole Normale Supérieure de Lyon, Lyon, France, CEPR, Washington, DC, United States of America

https://orcid.org/0000-0001-7166-5809

⨯
Sebastien Di Rollo,

Roles Conceptualization, Data curation, Formal analysis, Writing – original draft, Writing – review & editing

Affiliation GATE & Department of Economics, Ecole Normale Supérieure de Lyon, Lyon, France
⨯
Louise Inguere,

Roles Data curation, Formal analysis, Writing – original draft, Writing – review & editing

Affiliation GATE & Department of Economics, Ecole Normale Supérieure de Lyon, Lyon, France
⨯
Mathis Mohand,

Roles Data curation, Methodology, Visualization, Writing – original draft, Writing – review & editing

Affiliation GATE & Department of Economics, Ecole Normale Supérieure de Lyon, Lyon, France
⨯
Lukas Schmidt

Roles Investigation, Methodology, Resources, Visualization, Writing – original draft, Writing – review & editing

Affiliation GATE & Department of Economics, Ecole Normale Supérieure de Lyon, Lyon, France
⨯

Mapping artisanal and small-scale mines at large scale from space with deep learning

Mathieu Couttenier,
Sebastien Di Rollo,
Louise Inguere,
Mathis Mohand,
Lukas Schmidt

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Published: September 22, 2022
https://doi.org/10.1371/journal.pone.0267963

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