蒙古高原的长期土地覆盖数据集基于多源数据和丰富的样本注释
Juanle Wang1,2,3, Kai Li4,5, Tengfei Han4,6
1State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. wangjl@igsnrr.ac.cn.
Scientific data
|August 15, 2025
概括
蒙古高原 (MP) 的新土地覆盖分类为生态研究提供了关键数据. 这个1990-2020年数据集详细介绍了14种土地覆盖类型,准确度为83.6%.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 生态生态学 生态生态学
背景情况:
- 蒙古高原 (MP) 对北亚具有生态意义,但现有的土地覆盖数据缺乏具体性和时间连续性.
- 全球土地覆盖产品往往无法充分代表草原和裸露面积的亚型,这对MP研究至关重要.
研究的目的:
- 为蒙古高原开发一个高分辨率,时间一致的土地覆盖分类数据集.
- 解决现有产品的局限性,用于MP特定的生态和可持续发展研究.
主要方法:
- 设计了一个14类土地覆盖分类方案,专门为国会议员量身定制.
- 从1990年到2020年,利用机器学习 (随机森林) 和云计算进行数据处理.
- 采用了两步随机森林策略,并对64,345个样本点进行了注释,以提高准确性,特别是在过渡区.
主要成果:
- 产生了跨越三十年 (1990-2020) 的蒙古高原新型土地覆盖数据集.
- 在14个不同的土地覆盖类别中实现了83.6%的整体分类准确度.
- 开发的方法证明了在过渡地区详细分类土地覆盖类型的有效性.
结论:
- 新的土地覆盖数据集和分类方法对MP的生态安全和可持续发展研究有价值.
- 这种产品在全球其他广的干旱和半干旱地区都有很大的应用潜力.
- 该研究强调了量身定制的土地覆盖产品对于区域环境监测的重要性.
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