CropLayer: a 2 m resolution cropland map of China for 2020 from Mapbox and Google satellite imagery
文献类型：期刊论文
| 作者 | Jiang, Hao2; Ku, Mengjun2; Zhou, Xia2; Zheng, Qiong3; Liu, Yangxiaoyue4; Xu, Jianhui2; Li, Dan2; Wang, Chongyang2; Wei, Jiayi2; Zhang, Jing2 |
| 刊名 | EARTH SYSTEM SCIENCE DATA
 |
| 出版日期 | 2025 |
| 卷号 | 17期号:12页码:6703-6729 |
| ISSN号 | 1866-3508 |
| DOI | 10.5194/essd-17-6703-2025 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Accurate and detailed cropland maps are essential for food security, yet existing products for China exhibit substantial discrepancies. This study presents CropLayer, a 2 m resolution cropland map of China for 2020, developed from Mapbox and Google satellite imagery. The framework comprises three key stages: (1) image quality assessment (IQA) using a ResNet model to compensate for missing acquisition metadata; (2) cropland extraction via an active learning strategy guided by a Mask2Former segmentation model and XGBoost-based semantic correctness evaluation; and (3) integration of Mapbox and Google results through an XGBoost model informed by four feature groups: Geography, IQA, Regional Property, and Consistency. A three-level validation scheme (pixel, block, and region) ensures robust and interpretable accuracy across spatial scales. CropLayer achieves a pixel-level accuracy of 88.73 %, a block-level semantic correctness of 96.5 %, and provincial-level consistency, with 30 out of 32 provinces showing area estimates within +/- 10 % of official statistics. In comparison, only 1-9 provinces meet this criterion across eight existing datasets. CropLayer provides a reliable, high-resolution baseline for agricultural structure analysis, yield estimation, and land use planning in China. The CropLayer dataset is available at 10.5281/zenodo.14726428 (Jiang et al., 2025). |
| URL标识 | 查看原文 |
| WOS关键词 | OPEN-ACCESS ; LANDSAT ; CLASSIFICATION ; DATASET |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001629772700001 |
| 出版者 | COPERNICUS GESELLSCHAFT MBH |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219410]  |
| 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 | Zhou, Xia |
| 作者单位 | 1.Southwest Jiaotong Univ, Fac Geosci & Engn, Chengdu, Peoples R China; 2.Guangdong Acad Sci, Guangzhou Inst Geog, Guangdong Engn Technol Res Ctr Remote Sensing Big, Key Lab Guangdong Utilizat Remote Sensing & Geog I, Guangzhou 510070, Peoples R China; 3.Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Dept Geomat Engn, Changsha 410114, Peoples R China; 4.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China; 5.China Agr Univ, Coll Land Sci & Technol, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jiang, Hao,Ku, Mengjun,Zhou, Xia,et al. CropLayer: a 2 m resolution cropland map of China for 2020 from Mapbox and Google satellite imagery[J]. EARTH SYSTEM SCIENCE DATA,2025,17(12):6703-6729. |
| APA | Jiang, Hao.,Ku, Mengjun.,Zhou, Xia.,Zheng, Qiong.,Liu, Yangxiaoyue.,...&Huang, Jianxi.(2025).CropLayer: a 2 m resolution cropland map of China for 2020 from Mapbox and Google satellite imagery.EARTH SYSTEM SCIENCE DATA,17(12),6703-6729. |
| MLA | Jiang, Hao,et al."CropLayer: a 2 m resolution cropland map of China for 2020 from Mapbox and Google satellite imagery".EARTH SYSTEM SCIENCE DATA 17.12(2025):6703-6729. |
入库方式： OAI收割
来源：地理科学与资源研究所
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