首页|2020-2022年环渤海地区8m分辨率露天采矿区空间分布数据集

2020-2022年环渤海地区8m分辨率露天采矿区空间分布数据集

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随着我国矿山开采活动的增加,矿山周边的生态环境面临前所未有的压力,并且产生了诸如空气污染、水土流失、固体废弃物污染、滑坡泥石流等一系列的资源、生态与环境问题。为准确地掌握露天采矿空间分布数据,学者和监管部门正在积极采用遥感这一新兴技术探索一种及时高效的露天采矿区监测方法。本项目使用国产高分光学遥感影像GF-6 8 m分辨率多光谱数据,结合Google地球高分辨率影像数据,采用面向对象提取算法、时序影像判别和目视解译方法,制作完成环渤海区域露天矿区分布数据集(包含 8000多处露天矿区分布数据)。数据集总体精度为 95。0%,生产者精度为 98。0%,用户精度为 92。4%,具有较高准确性。本数据集能够直观反映环渤海区域露天矿区分布的空间变化规律,揭示经济发展、政策制定对其影响,为露天采矿管理及其相关政策制定提供数据支撑。
A dataset of spatial distribution of open-pit mining areas with a resolution of 8 m in the Bohai Rim region(2020-2022)
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.

open-pit miningGF-6 MSSBohai Rimtemporal and spatial distribution

韩杏杏、胡勇、张心悦、秦思柔、王淑颖、贾腾

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天津大学地球系统科学学院,天津 300072

重庆市规划和自然资源调查监测院,重庆 400120

中国人民解放军 93567部队,河北保定 071000

露天采矿区 高分辨率影像 环渤海 空间分布

2024

中国科学数据(中英文网络版)

中国科学数据(中英文网络版)

CSTPCD
ISSN:2096-2223
年,卷(期):2024.9(1)
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