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A global-scale data set of mining areas

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

2020Scientific Data273 citationsDOIOpen Access PDF

Abstract

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

Topics & Concepts

TailingsData setScale (ratio)Data miningVisualizationSurface miningMineral resource classificationSet (abstract data type)Computer scienceGeographyCartographyMining engineeringGeologyArtificial intelligenceCoalMaterials scienceCoal miningGeochemistryArchaeologyMetallurgyProgramming languageRemote-Sensing Image ClassificationGeochemistry and Geologic MappingAutomated Road and Building Extraction
A global-scale data set of mining areas | Litcius