Long-term Land Cover Dataset of the Mongolian Plateau Based on Multi-source Data and Rich Sample Annotations
文献类型:期刊论文
| 作者 | Wang, Juanle5,6,11; Li, Kai5,6; Han, Tengfei5,10; Sun, Yifei5,6; Hong, Mengmeng4,5; Shao, Yating4,5; Sun, Zhichen4,5; Liu, Meng3,5; Li, Fengjiao2,5; Su, Yuhui5,10 |
| 刊名 | SCIENTIFIC DATA
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| 出版日期 | 2025-08-15 |
| 卷号 | 12期号:1页码:1434 |
| DOI | 10.1038/s41597-025-05648-8 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The Mongolian Plateau (MP), with its unique geographical landscape and nomadic cultural features, is vital to regional ecological security and sustainable development in North Asia. Existing global land cover products often lack the classification specificity and temporal continuity required for MP-specific studies, particularly for grassland and bare area subtypes. To address this gap, a new land cover classification was designed for MP, which includes 14 categories: forests, shrubs, meadows, real steppes, dry steppes, desert steppes, wetlands, water, croplands, built-up land, barren land, desert, sand, and ice. Using machine learning and cloud computing, the novel dataset spanning the period of 1990-2020. Random Forest algorithm was employed to integrate training samples with multisource features for landcover classification, and a two-step Random Forest classification strategy to improve detail land cover results in transition regions. This process involved accurately annotating 64,345 sample points within a gridded framework. The resulting dataset achieved an overall accuracy of 83.6%. This land cover product and its approach has potential for application in vast arid and semi-arid areas. |
| URL标识 | 查看原文 |
| WOS关键词 | RANDOM FOREST |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:001551652600001 |
| 出版者 | NATURE PORTFOLIO |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/215642] ![]() |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Wang, Juanle |
| 作者单位 | 1.Inner Mongolia Univ, Coll Ecol & Environm, Hohhot 010022, Inner Mongolia, Peoples R China; 2.Xian Univ Sci & Technol, Coll Geomat, Xian 710054, Peoples R China; 3.Jiangsu Ocean Univ, Sch Marine Technol & Geomat, Lianyungang 222005, Jiangsu, Peoples R China; 4.China Univ Min & Technol Beijing, Coll Geosci & Surveying Engn, Beijing 100083, Peoples R China; 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; 6.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; 7.Inst Disaster Prevent Sci & Technol, Sch Resources & Environm, Sanhe 065201, Peoples R China 8.Natl Univ Mongolia, Sch Art & Sci, Dept Geog, Ulaanbaatar 210646, Mongolia; 9.Natl Univ Mongolia, Sch Engn & Technol, Dept Environm & Forest Engn, Environm Engn Lab, Ulaanbaatar 14201, Mongolia; 10.Shandong Univ Technol, Sch Civil Engn & Geomat, Zibo 255049, Shandong, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Wang, Juanle,Li, Kai,Han, Tengfei,et al. Long-term Land Cover Dataset of the Mongolian Plateau Based on Multi-source Data and Rich Sample Annotations[J]. SCIENTIFIC DATA,2025,12(1):1434. |
| APA | Wang, Juanle.,Li, Kai.,Han, Tengfei.,Sun, Yifei.,Hong, Mengmeng.,...&Sun, Feiran.(2025).Long-term Land Cover Dataset of the Mongolian Plateau Based on Multi-source Data and Rich Sample Annotations.SCIENTIFIC DATA,12(1),1434. |
| MLA | Wang, Juanle,et al."Long-term Land Cover Dataset of the Mongolian Plateau Based on Multi-source Data and Rich Sample Annotations".SCIENTIFIC DATA 12.1(2025):1434. |
入库方式: OAI收割
来源:地理科学与资源研究所
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