Updating Conventional Soil Maps through Digital Soil Mapping
文献类型：期刊论文
| 作者 | Yang Lin(杨琳) ; Jiao You ; Fahmy Sherif ; Zhu A-Xing ; Hann Sheldon ; Burt, James E. ; Qi Feng |
| 刊名 | SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
 |
| 出版日期 | 2011 |
| 卷号 | 75期号:3页码:1044-1053 |
| 关键词 | FUZZY-LOGIC MODEL INFORMATION KNOWLEDGE CLASSIFICATION TOPOGRAPHY STRATEGIES PREDICTION ALGORITHM INFERENCE |
| 通讯作者 | Zhu A-Xing |
| 英文摘要 | Conventional soil maps, as the major data source for information on the spatial variation of soil, are limited in terms of both the level of spatial detail and the accuracy of soil attributes. These soil maps, however, contain valuable knowledge on soil-environment relationships. Such knowledge can be extracted for updating conventional soil maps through the use of available high-quality data on environmental variables and data analysis techniques. We developed a method to update conventional soil maps using digital soil mapping techniques without additional field work, which can be used in situations where the study area contains no or few soil profile descriptions at points. The basis of the method is that soil polygons on a conventional soil map correspond to landscape units, which can be considered as combinations of environmental factors. Such environmental combinations were approximated through fuzzy clustering on the environmental factors. We extracted the knowledge on soil-environment relationships by relating the environmental combinations to the mapped soil types. The extracted knowledge was then used for soil mapping using the Soil Land Inference Model (SoLIM) framework. This method was demonstrated through a case study for updating a conventional 1:20,000 soil map of Wakefield, NB, Canada. The case study showed that the updated digital soil map contained much greater spatial detail than the conventional soil map. Field validation indicated that the accuracy of the updated soil map was much higher than the conventional soil map at the level of soil associations with drainage classes, indicating that the proposed method is an effective approach to updating conventional soil maps. |
| 收录类别 | SCI |
| 资助信息 | National Natural Science Foundation of China 40971236 41001298;China Scholarship Council;Agriculture & Agri-Food Canada;Vilas Associate;Hamel Faculty Fellowship at the University of Wisconsin-Madison;State Key Laboratory of Remote Sensing Science;Institute of Remote Sensing Applications;Chinese Academy of Sciences |
| 语种 | 英语 |
| 公开日期 | 2011-06-24 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/4800]  |
| 专题 | 地理科学与资源研究所_研究生部 |
| 推荐引用方式 GB/T 7714 | Yang Lin,Jiao You,Fahmy Sherif,et al. Updating Conventional Soil Maps through Digital Soil Mapping[J]. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,2011,75(3):1044-1053. |
| APA | Yang Lin.,Jiao You.,Fahmy Sherif.,Zhu A-Xing.,Hann Sheldon.,...&Qi Feng.(2011).Updating Conventional Soil Maps through Digital Soil Mapping.SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,75(3),1044-1053. |
| MLA | Yang Lin,et al."Updating Conventional Soil Maps through Digital Soil Mapping".SOIL SCIENCE SOCIETY OF AMERICA JOURNAL 75.3(2011):1044-1053. |
入库方式： OAI收割
来源：地理科学与资源研究所
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