Institute for Ecological Economics, Vienna University of Economics and Business (WU), Vienna, Austria.
Ecosystems Services and Management, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.
Sci Data. 2020 Sep 8;7(1):289. doi: 10.1038/s41597-020-00624-w.
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. 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 .
矿产开采区是了解和减轻采矿业对环境影响的关键指标。迄今为止，全球范围内的矿产开采数据产品并未报告采矿活动所使用的面积。在本文中，我们通过对卫星图像进行目视解译，提供了一个新的矿产开采范围数据集，填补了这一空白。我们在全球范围内，从大约六千多个活跃采矿点的地理坐标向外延伸 10 公里的缓冲区中划定了采矿区。结果是得到了一个由 21060 个多边形组成的全球范围数据集，总面积为 57277 公里。这些多边形涵盖了从卫星图像中可以识别的所有露天开采特征，包括露天采坑、尾矿坝、废石堆、水池和加工基础设施。该数据集可从 https://doi.org/10.1594/PANGAEA.910894 下载，并可在 www.fineprint.global/viewer 上进行可视化浏览。
