A global-scale data set of mining areas

Глобальный набор данных о горнодобывающих территориях
Victor Maus, Stefan Giljum, Jakob Gutschlhofer, Dieison Morozoli da Silva, Michael Probst, Sidnei Luís Bohn Gass, Sebastian Luckeneder, Mirko Lieber, Ian McCallum
2020-09-08

global mining areasmineral extraction impactsmining extent datasetmining site polygonssatellite image interpretation
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 .
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Mapped polygons include identifiable above-ground mining features such as open cuts, tailings dams, waste rock dumps, water ponds, and processing infrastructure.
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Mining areas were delineated through visual interpretation of satellite imagery within 10 km of more than 6,000 active mining sites globally.
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The dataset contains 21,060 polygons covering a total area of 57,277 km².
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The dataset is publicly available for download and online visualization, supporting assessment and mitigation of mining-related environmental impacts.
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The study introduces a global-scale dataset mapping the spatial extents of mineral extraction activities, addressing the lack of worldwide mining-area data products.

Global mining areas and their above-ground features

The spatial extent and composition of mining areas worldwide, including open cuts, tailings dams, waste rock dumps, water ponds, and processing infrastructure

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2020-09-08
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Victor Maus
Stefan Giljum
Jakob Gutschlhofer
Dieison Morozoli da Silva
Michael Probst
Sidnei Luís Bohn Gass
Sebastian Luckeneder
Mirko Lieber
Ian McCallum
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