Mapping the terraces on the Loess Plateau based on a deep learning-based model at 1.89 m resolution
文献类型：期刊论文
| 作者 | Lu, Yahan2; Li, Xiubin2; Xin, Liangjie; Song, Hengfei2; Wang, Xue2 |
| 刊名 | SCIENTIFIC DATA
 |
| 出版日期 | 2023-03-02 |
| 卷号 | 10期号:1 |
| ISSN号 | 2052-4463 |
| DOI | 10.1038/s41597-023-02005-5 |
| 文献子类 | Article; Data Paper |
| 英文摘要 | Terraces on the Loess Plateau play essential roles in soil conservation, as well as agricultural productivity in this region. However, due to the unavailability of high-resolution (<10 m) maps of terrace distribution for this area, current research on these terraces is limited to specific regions. We developed a deep learning-based terrace extraction model (DLTEM) using texture features of the terraces, which have not previously been applied regionally. The model utilizes the UNet++ deep learning network as its framework, with high-resolution satellite images, a digital elevation model, and GlobeLand30 as the interpreted data and topography and vegetation correction data sources, respectively, and incorporates manual correction to produce a 1.89 m spatial resolution terrace distribution map for the Loess Plateau (TDMLP). The accuracy of the TDMLP was evaluated using 11,420 test samples and 815 field validation points, yielding classification results of 98.39% and 96.93%, respectively. The TDMLP provides an important basis for further research on the economic and ecological value of terraces, facilitating the sustainable development of the Loess Plateau. |
| WOS关键词 | SOIL ; CLASSIFICATION ; ACCURACY ; FOREST ; AREA |
| WOS研究方向 | Science & Technology - Other Topics |
| 出版者 | NATURE PORTFOLIO |
| WOS记录号 | WOS:000943345600002 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/190253]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lu, Yahan,Li, Xiubin,Xin, Liangjie,et al. Mapping the terraces on the Loess Plateau based on a deep learning-based model at 1.89 m resolution[J]. SCIENTIFIC DATA,2023,10(1). |
| APA | Lu, Yahan,Li, Xiubin,Xin, Liangjie,Song, Hengfei,&Wang, Xue.(2023).Mapping the terraces on the Loess Plateau based on a deep learning-based model at 1.89 m resolution.SCIENTIFIC DATA,10(1). |
| MLA | Lu, Yahan,et al."Mapping the terraces on the Loess Plateau based on a deep learning-based model at 1.89 m resolution".SCIENTIFIC DATA 10.1(2023). |
入库方式： OAI收割
来源：地理科学与资源研究所
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