A Novel Sampling Design That Considers Local Soil Heterogeneity in Both Geographical and Feature Spaces for Mapping Multiple Soil Properties at the Farm Level
文献类型：期刊论文
| 作者 | Wang, Yongji3; Li, Shaoqi3; Wang, Meizi2; Qi, Qingwen1,5; Li, Peng4 |
| 刊名 | IEEE ACCESS
 |
| 出版日期 | 2026 |
| 卷号 | 14页码:424-440 |
| 关键词 | Soil Soil properties Vegetation mapping Predictive models Normalized difference vegetation index Indexes Design methodology Accuracy Robustness Image resolution Soil variability digital soil mapping (DSM) sampling design local heterogeneity of soil subregion division effective coverage in both geographical and feature spaces |
| ISSN号 | 2169-3536 |
| DOI | 10.1109/ACCESS.2025.3648824 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Sampling design plays a crucial role in managing soil variability at the farm level by ensuring the collection of reliable soil samples. Current methods focus on optimizing sample size and locations within geographic or feature space, taking a global perspective. However, treating geographic and feature space separately diminishes the robustness of the sampling design against deviations from the assumptions of the prediction model. Furthermore, these approaches often overlook local spatial structures of soil, potentially leading to decreased representativeness of the soil samples. In this paper, a novel sampling design method that considers local soil heterogeneity in both geo-graphical and feature spaces was developed. First, the level of local soil heterogeneity was inferred. Second, the study area was divided into spatially continuous subregions, each characterized by similar levels of soil heterogeneity, to facilitate more objective sample assignment. Finally, key sample locations within each subregion were deter-mined by achieving a balance between coverage in both geographical and feature spaces. To validate the proposed method, it was compared to stratified random sampling, k-means sampling and conditional Latin hypercube sampling. The ordinary kriging method was employed to map five soil properties, including soil organic matter, pH, total nitrogen, available phosphorus and available potassium. The comparative experiment demonstrates that the proposed method is more effective in generating a sampling plan that accurately represents multiple soil properties by analyzing the local soil spatial structure. |
| URL标识 | 查看原文 |
| WOS关键词 | REGION ; SEGMENTATION ; OPTIMIZATION |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:001655707600002 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219652]  |
| 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 | Wang, Meizi |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; 2.Henan Agr Univ, Coll Plant Protect, Zhengzhou 450002, Peoples R China; 3.Zhengzhou Univ, Sch Geosci & Technol, Zhengzhou 450001, Peoples R China; 4.Infantry Coll PLA, Shijiazhuang Campus, Shijiazhuang 050083, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Wang, Yongji,Li, Shaoqi,Wang, Meizi,et al. A Novel Sampling Design That Considers Local Soil Heterogeneity in Both Geographical and Feature Spaces for Mapping Multiple Soil Properties at the Farm Level[J]. IEEE ACCESS,2026,14:424-440. |
| APA | Wang, Yongji,Li, Shaoqi,Wang, Meizi,Qi, Qingwen,&Li, Peng.(2026).A Novel Sampling Design That Considers Local Soil Heterogeneity in Both Geographical and Feature Spaces for Mapping Multiple Soil Properties at the Farm Level.IEEE ACCESS,14,424-440. |
| MLA | Wang, Yongji,et al."A Novel Sampling Design That Considers Local Soil Heterogeneity in Both Geographical and Feature Spaces for Mapping Multiple Soil Properties at the Farm Level".IEEE ACCESS 14(2026):424-440. |
入库方式： OAI收割
来源：地理科学与资源研究所
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