Digital soil mapping based on the similarity of geographic environment over spatial neighborhoods
文献类型：期刊论文
| 作者 | Zhao, Fang-He7,8; An, Yi-Ming6; Qin, Cheng-Zhi4,5,7,8; Zhu, A-Xing3; Yang, Lin2; Qi, Feng1 |
| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
 |
| 出版日期 | 2025-12-31 |
| 卷号 | 18期号:1页码:2471507 |
| 关键词 | Digital soil mapping spatial neighborhood environmental similarity spatial prediction soil organic matter |
| ISSN号 | 1753-8947 |
| DOI | 10.1080/17538947.2025.2471507 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Digital soil mapping is an efficient and common way of obtaining soil maps with high accuracy and precision. A representative method is the individual predictive soil mapping (iPSM) method that predicts soil properties by comparing the environmental conditions at the specific location of each individual sample with those at prediction sites. This method has proved to be effective especially with limited samples. However, the iPSM method ignores the impact of the environmental context within a spatial neighborhood on soil properties at the center location. This study proposes an iPSM-neighbor method that considers environmental similarity of spatial neighborhoods to make predictions. Experiments in two study areas show that the proposed method outperformed existing methods (i.e. ordinary kriging, random forest, and iPSM), and reduces the RMSE by up to 33% from the original iPSM method. Evaluation samples of different terrain conditions suggest that the iPSM-neighbor is more effective in mountainous areas. Experiment results attest that the incorporation of environmental similarity over spatial neighborhoods is useful in improving prediction accuracies. Different neighborhood size and annulus width settings provide insights into the impact from characteristics of the neighborhood environment on DSM. |
| URL标识 | 查看原文 |
| WOS关键词 | ORGANIC-MATTER ; WEIGHTED REGRESSION ; CARBON ; MODEL ; INFORMATION ; PREDICTION ; EROSION ; SYSTEMS ; LAW |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001436017200001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/213194]  |
| 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 | Qin, Cheng-Zhi |
| 作者单位 | 1.Kean Univ, Dept Environm & Sustainabil Sci, Union, NJ USA 2.Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing, Peoples R China; 3.Univ Wisconsin Madison, Dept Geog, Madison, WI USA; 4.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China; 5.Shaanxi Normal Univ, Sch Geog & Tourism, Xian, Peoples R China; 6.Minist Ecol & Environm, Policy Res Ctr Environm & Econ, Beijing, Peoples R China; 7.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; 8.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Zhao, Fang-He,An, Yi-Ming,Qin, Cheng-Zhi,et al. Digital soil mapping based on the similarity of geographic environment over spatial neighborhoods[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2025,18(1):2471507. |
| APA | Zhao, Fang-He,An, Yi-Ming,Qin, Cheng-Zhi,Zhu, A-Xing,Yang, Lin,&Qi, Feng.(2025).Digital soil mapping based on the similarity of geographic environment over spatial neighborhoods.INTERNATIONAL JOURNAL OF DIGITAL EARTH,18(1),2471507. |
| MLA | Zhao, Fang-He,et al."Digital soil mapping based on the similarity of geographic environment over spatial neighborhoods".INTERNATIONAL JOURNAL OF DIGITAL EARTH 18.1(2025):2471507. |
入库方式： OAI收割
来源：地理科学与资源研究所
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