A dataset of spatial distribution of open-pit mining areas with a resolution of 8 m in the Bohai Rim region (2020–2022)
Xingxing HAN, Yong HU, Xinyue ZHANG, Sirou QIN, Shuying WANG, Teng JIA
Abstract
With the increase of mining activities in China, the ecological environment around mines is facing unprecedented pressure, leading to a series of resource, ecological and environmental problems, such as air pollution, soil erosion, solid waste pollution, landslides and debris flows. To precisely obtain the spatial distribution data of open-pit mining, scholars and regulatory bodies are actively seeking timely and efficient methods to monitor open-pit mining areas by using the remote sensing, an innovative technology, for this purpose. In this research, we adopted high-resolution optical remote sensing image GF-6 with a resolution of 8m to obtain the open-pit mining dataset in the Bohai Rim through rule-based feature extraction, time-series image discrimination and visual interpretation methods, covering over 8000 open-pit mining areas. The dataset exhibits a high level of accuracy, with an overall accuracy of 95.0%, a producer accuracy of 98.0% and a user accuracy of 92.4%. It effectively reflects the spatial dynamics in the distribution of open-pit mining areas within the Bohai Rim region and reveals the influence of economic growth and policy-making on these changes. Thus, the dataset can offer valuable data support for managing open-pit mining operations and the development of related policies.