A multi-source data fusion method for land cover production: a case study of the East European Plain
文献类型：期刊论文
| 作者 | Li, Kai1,2; Wang, Juanle1,2,3,4,5,6 |
| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
 |
| 出版日期 | 2024-12-31 |
| 卷号 | 17期号:1页码:18 |
| 关键词 | Land cover East European Plain multi-source data fusion deep learning |
| ISSN号 | 1753-8947 |
| DOI | 10.1080/17538947.2024.2339360 |
| 通讯作者 | Wang, Juanle(wangjl@igsnrr.ac.cn) |
| 英文摘要 | Large-area high-precision land cover mapping faces challenges such as a lack of uniform classification systems and the inability to compare different products. The current use of deep learning methods in land cover data product generation provides opportunities to address these issues. However, this requires the creation of many manually labeled samples, and this involves high time and labor costs. Therefore, research is being conducted to examine methods for producing land cover products by integrating multiple data sources. This study focuses on the East European Plain and is based on land cover types that include water, forest, grass, wetland, crop, shrub, built area, bare area, ice, and tundra. Label images were fused using data from Dynamic World, ESA World Cover, ESRI Global LULC, GlobeLand30, and Open Land Map. Using a modified Dynamic World model, predictions for the East European Plain for 2022 were made, ultimately resulting in a land cover product at 10 m resolution. Compared to Dynamic World data, the classification system of this dataset aligns with the land cover conditions of the study area. The dataset possessed higher accuracy. This method integrates the advantages of existing data products, automates the generation of training labels, and effectively reduces manual costs. |
| 资助项目 | Science & Technology Fundamental Resources Investigation Program of China |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001197383800001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 资助机构 | Science & Technology Fundamental Resources Investigation Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/203990]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Juanle |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 5.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 6.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Kai,Wang, Juanle. A multi-source data fusion method for land cover production: a case study of the East European Plain[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2024,17(1):18. |
| APA | Li, Kai,&Wang, Juanle.(2024).A multi-source data fusion method for land cover production: a case study of the East European Plain.INTERNATIONAL JOURNAL OF DIGITAL EARTH,17(1),18. |
| MLA | Li, Kai,et al."A multi-source data fusion method for land cover production: a case study of the East European Plain".INTERNATIONAL JOURNAL OF DIGITAL EARTH 17.1(2024):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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