The potential of image segmentation applied to sampling design for improving farm-level multi-soil property mapping accuracy
文献类型：期刊论文
| 作者 | Wang, Yongji2; Qi, Qingwen3; Wang, Jun1; Wang, Meizi4; Ye, Yanjun5 |
| 刊名 | PRECISION AGRICULTURE
 |
| 出版日期 | 2023-06-23 |
| 页码 | 24 |
| 关键词 | Digital soil mapping (DSM) Sampling design Local environmental similarity Within-region homogeneity and between-region heterogeneity Optimal sample size and locations |
| ISSN号 | 1385-2256 |
| DOI | 10.1007/s11119-023-10043-7 |
| 通讯作者 | Wang, Meizi(mewang@henau.edu.cn) |
| 英文摘要 | Sampling design plays a critical role in farm-level digital soil mapping (DSM). In many cases, a soil mapping model may not have been decided upon at the sample design stage. Design-based sampling may be more appropriate than model-based sampling because it is independent of subsequent soil mapping models. However, existing sampling methods optimize the sample size and locations in geographical space or feature space without considering the impacts of environmental similarity in local geographical space. In this paper, a novel sampling design method based on local environmental similarity was developed. Image segmentation was introduced into the sampling design by partitioning agricultural soil into subregions with good spatial continuity, within-region homogeneity, and between-region heterogeneity to determine the optimal sample size and locations. First, the environmental similarity between adjacent soils was calculated. Second, the merging process was iteratively conducted, and a series of segmentations was generated. Finally, the optimal sample size and locations were determined based on the optimal segmentation results. To validate the proposed method, it was compared with stratified random sampling, k-means sampling, and spatially balanced sampling methods. Two mapping models, ordinary kriging and sandwich estimation, were employed to map five soil properties, including pH, soil organic matter, total nitrogen, available phosphorus, and available potassium. These comparative experiments showed that the proposed method had better potential to generate farm-level muti-soil property mapping results with good accuracy than the competing sampling methods. In conclusion, consideration of local environmental similarity and the use of image segmentation for soil sampling were helpful in determining the optimal sample size and key sample locations. |
| WOS关键词 | OPTIMIZATION ; VARIANCE |
| 资助项目 | Joint Project of Science and Technology Research and Development Plan in Henan Province[222103810012] ; Key Scientific Research Projects of Colleges and Universities in Henan Province[22A170021] ; Science and Technology Research and Development Projects in Henan Province[232102111100] |
| WOS研究方向 | Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:001011992900001 |
| 出版者 | SPRINGER |
| 资助机构 | Joint Project of Science and Technology Research and Development Plan in Henan Province ; Key Scientific Research Projects of Colleges and Universities in Henan Province ; Science and Technology Research and Development Projects in Henan Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/194979]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Meizi |
| 作者单位 | 1.Shandong Univ Sci & Technol, Coll Geodesy & Geomatics, Qingdao 266590, Peoples R China 2.Zhengzhou Univ, Sch Geosci & Technol, Zhengzhou 450001, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 4.Henan Agr Univ, Coll Plant Protect, Zhengzhou 450002, Peoples R China 5.Hebei Univ Engn, Sch Earth Sci & Engn, Handan 056038, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Yongji,Qi, Qingwen,Wang, Jun,et al. The potential of image segmentation applied to sampling design for improving farm-level multi-soil property mapping accuracy[J]. PRECISION AGRICULTURE,2023:24. |
| APA | Wang, Yongji,Qi, Qingwen,Wang, Jun,Wang, Meizi,&Ye, Yanjun.(2023).The potential of image segmentation applied to sampling design for improving farm-level multi-soil property mapping accuracy.PRECISION AGRICULTURE,24. |
| MLA | Wang, Yongji,et al."The potential of image segmentation applied to sampling design for improving farm-level multi-soil property mapping accuracy".PRECISION AGRICULTURE (2023):24. |
入库方式： OAI收割
来源：地理科学与资源研究所
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