An annual 30 m cultivated-pasture dataset of the Tibetan Plateau from 1988 to 2021
文献类型：期刊论文
| 作者 | Han, Binghong6,7; Bi, Jian4,5; Tao, Shengli2,3; Yang, Tong4,5; Tang, Yongli4,5; Ge, Mengshuai2,3; Wang, Hao1,9; Jin, Zhenong2,3; Dong, Jinwei8; Nan, Zhibiao6,7 |
| 刊名 | EARTH SYSTEM SCIENCE DATA
 |
| 出版日期 | 2025-06-27 |
| 卷号 | 17期号:6页码:2933-2952 |
| ISSN号 | 1866-3508 |
| DOI | 10.5194/essd-17-2933-2025 |
| 产权排序 | 9 |
| 文献子类 | Article |
| 英文摘要 | Cultivated pastures have rapidly developed across the Tibetan Plateau over the past several decades, raising concerns about grassland degradation. Accordingly, considerable attention is paid to the protection of Tibetan grassland ecosystems. However, high-resolution spatial distribution of cultivated pastures on the Tibetan Plateau remains poorly understood, primarily due to the difficulty in discriminating cultivated pastures from other land cover types using remote sensing techniques. The absence of such information hinders efficient agricultural and livestock husbandry management, making it challenging to support ecological protection and restoration efforts. Here, we mapped the cultivated pastures on the Tibetan Plateau at a 30 m resolution for the years 1988 to 2021 using Landsat data from the Google Earth Engine (GEE) cloud computing platform. We built a random forest (RF) binary classification model with inputs of the spectral-temporal metrics of Landsat data acquired in the growing season, as well as ancillary topographic data. The model was trained using carefully selected training samples and was validated against 2000 independent random reference points in two pilot study regions with different climates and landscapes. The model achieved an overall accuracy of 97.05 % +/- 0.4 % and an F-1 spatial consistency score of 82.51 % +/- 14.22 % (precision: 90.04 % +/- 6.18 %; recall: 76.74 % +/- 9.91 %), suggesting high confidence in mapping the distribution of cultivated pastures on the plateau. Using the RF model, we then produced a dataset of cultivated-pasture maps for the years from 1988 to 2021 for Qinghai Province and the Tibet Autonomous Region on the Tibetan Plateau, covering 77 % of the plateau. At both the province and county levels, the cultivated-pasture areas estimated in this study matched well with government statistics for recent years. The area of cultivated pastures on the Tibetan Plateau experienced a significant expansion from 0.46 Mha in 1988 to 1.57 Mha in 2021, with an average annual growth of 33.5 +/- 2.5 Kha. To our knowledge, we are the first to map cultivated pastures on the Tibetan Plateau, and our RF binary classification approach holds promise in identifying cultivated pastures in other regions of the world, which could prove to be invaluable for scientists, policymakers, ecological conservation practitioners, and herdspeople. The dataset is available on Zenodo at 10.5281/zenodo.14271782 (Han et al., 2024). |
| URL标识 | 查看原文 |
| WOS关键词 | DIFFERENCE WATER INDEX ; ACCURACY ; LANDSAT ; GRASSLANDS ; MODIS ; SCIENCE ; NDVI ; NDWI |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001517992600001 |
| 出版者 | COPERNICUS GESELLSCHAFT MBH |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/215336]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 |
| 通讯作者 | Bi, Jian; He, Jin-Sheng |
| 作者单位 | 1.Lanzhou Univ, State Key Lab Seed Innovat & Grassland Agroecosyst, Lanzhou 730000, Peoples R China; 2.Peking Univ, Key Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China; 3.Peking Univ, Inst Ecol, Coll Urban & Environm Sci, Beijing 100871, Peoples R China; 4.Lanzhou Univ, Ctr Remote Sensing Ecol Environm Cold & Arid Reg, Lanzhou 730000, Peoples R China; 5.Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China; 6.Lanzhou Univ, Coll Pastoral Agr Sci & Technol, Lanzhou 730000, Peoples R China; 7.Lanzhou Univ, State Key Lab Herbage Improvement & Grassland Agro, Lanzhou 730000, Peoples R China; 8.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 9.Lanzhou Univ, Coll Ecol, Lanzhou 730000, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Han, Binghong,Bi, Jian,Tao, Shengli,et al. An annual 30 m cultivated-pasture dataset of the Tibetan Plateau from 1988 to 2021[J]. EARTH SYSTEM SCIENCE DATA,2025,17(6):2933-2952. |
| APA | Han, Binghong.,Bi, Jian.,Tao, Shengli.,Yang, Tong.,Tang, Yongli.,...&He, Jin-Sheng.(2025).An annual 30 m cultivated-pasture dataset of the Tibetan Plateau from 1988 to 2021.EARTH SYSTEM SCIENCE DATA,17(6),2933-2952. |
| MLA | Han, Binghong,et al."An annual 30 m cultivated-pasture dataset of the Tibetan Plateau from 1988 to 2021".EARTH SYSTEM SCIENCE DATA 17.6(2025):2933-2952. |
入库方式： OAI收割
来源：地理科学与资源研究所
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