A global-scale data set of mining areas

The area used for mineral extraction is a key indicator for understanding and mitigating the environmental impacts caused by the extractive sector. To date, worldwide data products on mineral extraction do not report the area used by mining activities. In this paper, we contribute to filling this ga...

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Autores principales: Maus, Victor, Giljum, Stefan, Gutschlhofer, Jakob, da Silva, Dieison M., Probst, Michael, Gass, Sidnei L. B., Luckeneder, Sebastian, Lieber, Mirko, McCallum, Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7478970/
https://www.ncbi.nlm.nih.gov/pubmed/32901028
http://dx.doi.org/10.1038/s41597-020-00624-w
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author Maus, Victor
Giljum, Stefan
Gutschlhofer, Jakob
da Silva, Dieison M.
Probst, Michael
Gass, Sidnei L. B.
Luckeneder, Sebastian
Lieber, Mirko
McCallum, Ian
author_facet Maus, Victor
Giljum, Stefan
Gutschlhofer, Jakob
da Silva, Dieison M.
Probst, Michael
Gass, Sidnei L. B.
Luckeneder, Sebastian
Lieber, Mirko
McCallum, Ian
author_sort Maus, Victor
collection PubMed
description The area used for mineral extraction is a key indicator for understanding and mitigating the environmental impacts caused by the extractive sector. To date, worldwide data products on mineral extraction do not report the area used by mining activities. In this paper, we contribute to filling this gap by presenting a new data set of mining extents derived by visual interpretation of satellite images. We delineated mining areas within a 10 km buffer from the approximate geographical coordinates of more than six thousand active mining sites across the globe. The result is a global-scale data set consisting of 21,060 polygons that add up to 57,277 km(2). The polygons cover all mining above-ground features that could be identified from the satellite images, including open cuts, tailings dams, waste rock dumps, water ponds, and processing infrastructure. The data set is available for download from 10.1594/PANGAEA.910894 and visualization at www.fineprint.global/viewer.
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spelling pubmed-74789702020-09-21 A global-scale data set of mining areas Maus, Victor Giljum, Stefan Gutschlhofer, Jakob da Silva, Dieison M. Probst, Michael Gass, Sidnei L. B. Luckeneder, Sebastian Lieber, Mirko McCallum, Ian Sci Data Data Descriptor The area used for mineral extraction is a key indicator for understanding and mitigating the environmental impacts caused by the extractive sector. To date, worldwide data products on mineral extraction do not report the area used by mining activities. In this paper, we contribute to filling this gap by presenting a new data set of mining extents derived by visual interpretation of satellite images. We delineated mining areas within a 10 km buffer from the approximate geographical coordinates of more than six thousand active mining sites across the globe. The result is a global-scale data set consisting of 21,060 polygons that add up to 57,277 km(2). The polygons cover all mining above-ground features that could be identified from the satellite images, including open cuts, tailings dams, waste rock dumps, water ponds, and processing infrastructure. The data set is available for download from 10.1594/PANGAEA.910894 and visualization at www.fineprint.global/viewer. Nature Publishing Group UK 2020-09-08 /pmc/articles/PMC7478970/ /pubmed/32901028 http://dx.doi.org/10.1038/s41597-020-00624-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Maus, Victor
Giljum, Stefan
Gutschlhofer, Jakob
da Silva, Dieison M.
Probst, Michael
Gass, Sidnei L. B.
Luckeneder, Sebastian
Lieber, Mirko
McCallum, Ian
A global-scale data set of mining areas
title A global-scale data set of mining areas
title_full A global-scale data set of mining areas
title_fullStr A global-scale data set of mining areas
title_full_unstemmed A global-scale data set of mining areas
title_short A global-scale data set of mining areas
title_sort global-scale data set of mining areas
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7478970/
https://www.ncbi.nlm.nih.gov/pubmed/32901028
http://dx.doi.org/10.1038/s41597-020-00624-w
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