A novel sampling design considering the local heterogeneity of soil for farm field-level mapping with multiple soil properties
文献类型：期刊论文
| 作者 | Wang, Yongji3; Qi, Qingwen1,4; Bao, Zhengyi5; Wu, Lili3; Geng, Qingling3; Wang, Jun2 |
| 刊名 | PRECISION AGRICULTURE
 |
| 出版日期 | 2022-06-15 |
| 页码 | 22 |
| ISSN号 | 1385-2256 |
| 关键词 | Digital soil mapping (DSM) Soil sampling Local heterogeneity of soil Limited sample size Key sample locations |
| DOI | 10.1007/s11119-022-09926-y |
| 通讯作者 | Bao, Zhengyi(bzy@lreis.ac.cn) |
| 英文摘要 | Soil sampling is critical to obtaining reliable input for farm field-level digital soil mapping (DSM). Sample size and location are the key issues for soil sampling. However, sample size is often restricted by available budgets. In this case, recognizing the key sample locations is necessary. Existing methods have optimized the sample locations in a global manner without considering the impacts of local heterogeneity of soil. In this paper, a novel sampling approach based on the local heterogeneity of soil with a limited sample size (40 samples in this research) was developed. First, the local heterogeneity of soil was inferred. Second, the sub-regions were divided based on the level of local soil heterogeneity and the corresponding sample numbers were determined. Finally, the key sample locations were determined based on the fuzzy memberships. To validate the proposed method, it was compared with stratified random sampling, k-means sampling and conditional Latin hypercube sampling. The ordinary kriging method was applied to map five soil properties, including soil organic matter, pH, total nitrogen, available phosphorus and available potassium. The comparative experiments showed that the proposed method has better robustness in satisfying good mapping accuracy for multi-soil properties at the farm field level compared with the competing sampling methods, as indicated by the relatively lower and more stable mean bias error (MBE) and root mean square error (RMSE) values. It can be concluded that the consideration of local heterogeneity of soil is helpful to recognize the key sample locations for limited sample sizes. |
| WOS关键词 | REGION |
| 资助项目 | Key Scientific Research Projects of Colleges and Universities in Henan Province[22A170021] ; National Natural Science Foundation of China[41801085] |
| WOS研究方向 | Agriculture |
| 语种 | 英语 |
| 出版者 | SPRINGER |
| WOS记录号 | WOS:000811418300002 |
| 资助机构 | Key Scientific Research Projects of Colleges and Universities in Henan Province ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/179700]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Bao, Zhengyi |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Peoples R China 3.Zhengzhou Univ, Sch Geosci & Technol, Zhengzhou 450001, 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.Inner Mongolia Normal Univ, Coll Comp Sci & Technol, Hohhot 010022, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Yongji,Qi, Qingwen,Bao, Zhengyi,et al. A novel sampling design considering the local heterogeneity of soil for farm field-level mapping with multiple soil properties[J]. PRECISION AGRICULTURE,2022:22. |
| APA | Wang, Yongji,Qi, Qingwen,Bao, Zhengyi,Wu, Lili,Geng, Qingling,&Wang, Jun.(2022).A novel sampling design considering the local heterogeneity of soil for farm field-level mapping with multiple soil properties.PRECISION AGRICULTURE,22. |
| MLA | Wang, Yongji,et al."A novel sampling design considering the local heterogeneity of soil for farm field-level mapping with multiple soil properties".PRECISION AGRICULTURE (2022):22. |
入库方式： OAI收割
来源：地理科学与资源研究所
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