A global-scale data set of mining areas

Victor Wegner Maus; Stefan Giljum; Jakob Gutschlhofer; Dieison M. da Silva; Michael Probst; Sidnei L.B. Gass; Sebastian Luckeneder; Mirko Lieber; Ian McCallum

doi:10.1038/s41597-020-00624-w

A global-scale data set of mining areas

Victor Wegner Maus, Stefan Giljum, Jakob Gutschlhofer, Dieison M. da Silva, Michael Probst, Sidnei L.B. Gass, Sebastian Luckeneder, Mirko Lieber, Ian McCallum

Institute for Ecological Economics

Publication: Scientific journal › Journal article › peer-review

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Abstract

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 km². 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 https://doi.org/10.1594/PANGAEA.910894 and visualization at www.fineprint.global/viewer.

Original language	English
Journal	Scientific data
Volume	7
Issue number	1
DOIs	https://doi.org/10.1038/s41597-020-00624-w
Publication status	Published - 2020

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title = "A global-scale data set of mining areas",

abstract = "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 km². 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 https://doi.org/10.1594/PANGAEA.910894 and visualization at www.fineprint.global/viewer.",

author = "{Wegner Maus}, Victor and Stefan Giljum and Jakob Gutschlhofer and {da Silva}, {Dieison M.} and Michael Probst and Gass, {Sidnei L.B.} and Sebastian Luckeneder and Mirko Lieber and Ian McCallum",

year = "2020",

doi = "10.1038/s41597-020-00624-w",

language = "English",

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T1 - A global-scale data set of mining areas

AU - Wegner Maus, Victor

AU - Giljum, Stefan

AU - Gutschlhofer, Jakob

AU - da Silva, Dieison M.

AU - Probst, Michael

AU - Gass, Sidnei L.B.

AU - Luckeneder, Sebastian

AU - Lieber, Mirko

AU - McCallum, Ian

PY - 2020

Y1 - 2020

N2 - 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 km². 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 https://doi.org/10.1594/PANGAEA.910894 and visualization at www.fineprint.global/viewer.

AB - 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 km². 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 https://doi.org/10.1594/PANGAEA.910894 and visualization at www.fineprint.global/viewer.

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