在全球范围内对8万个采矿地点的土地使用进行分类
Yu-Tong Cheng1, Nguyen Tien Hoang1, Lou Maupu1
1Graduate School of Environmental Studies, Tohoku University, 468-1 Aramaki Aza Aoba, Aoba-ku, Sendai, Miyagi, 980-8572, Japan.
Scientific data
|February 3, 2026
概括
一个新的全球数据集绘制了采矿用地和覆盖面的地图,这对于了解绿色能源转型期间关键矿产开采对环境的影响至关重要. 这种详细的映射可以改善环境风险评估.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 地理空间分析的研究.
背景情况:
- 绿色能源转型增加了对关键矿物的需求,导致扩大了采矿活动和环境问题.
- 精确评估采矿足迹对于了解和减轻环境影响至关重要.
研究的目的:
- 开发一个全球一致的数据集,用于采矿区内土地使用和土地覆盖的分类.
- 提供对全球采矿足迹的详细见解,并改进环境影响评估.
主要方法:
- 整合了Sentinel-2卫星图像和TanDEM-X海拔变化数据.
- 使用随机森林分类器来准确地使用土地分类.
- 区分频谱上相似但功能上不同的土地利用类型 (例如,露天坑,垃圾填埋场).
主要成果:
- 一个全面的数据集,涵盖了150个国家的80,000多个采矿区 (95,644平方公里).
- 准确的分类,区分特定的采矿用地,避免对受影响地区的高估.
- 实现了对采矿足迹的全球范围的洞察.
结论:
- 该数据集提供了更准确的矿区内土地使用的描述.
- 提高了采矿行业环境影响评估的可靠性.
- 支持可持续资源管理和环境保护的知情决策.
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