Knowledge Resource Center for Ecological Environment in Arid Area
Mapping Soil Texture Based on Field Soil Moisture Observations at a High Temporal Resolution in an Oasis Agricultural Area | |
Yang Renmin; Liu Feng; Zhang Ganlin; Zhao Yuguo; Li Decheng; Yang Jinling; Yang Fei; Yang Fan | |
来源期刊 | Pedosphere
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ISSN | 1002-0160 |
出版年 | 2016 |
卷号 | 26期号:5页码:699-708 |
英文摘要 | Due to the almost homogeneous topography in low relief areas, it is usually difficult to make accurate predictions of soil properties using topographic covariates. In this study, we examined how time series of field soil moisture observations can be used to estimate soil texture in an oasis agricultural area with low relief in the semi-arid region of northwest China. Time series of field-observed soil moisture variations were recorded for 132 h beginning at the end of an irrigation event during which the surface soil was saturated. Spatial correlation between two time-adjacent soil moisture conditions was used to select the factors for fuzzy c-means clustering. In each of the ten generated clusters, soil texture of the soil sample with the maximum fuzzy membership value was taken as the cluster centroid. Finally, a linearly weighted average was used to predict soil texture from the centroids. The results showed that soil moisture increased with the increase of clay and silt contents, but decreased with the increase of sand content. The spatial patterns of soil moisture changed during the entire soil drying phase. We assumed that these changes were mainly caused by spatial heterogeneity of soil texture. A total of 64 independent samples were used to evaluate the prediction accuracy. The root mean square error (RMSE) values of clay, silt and sand were 1.63, 2.81 and 3.71, respectively. The mean relative error (RE) values were 9.57% for clay, 3.77% for silt and 12.83% for sand. It could be concluded that the method used in this study was effective for soil texture mapping in the low-relief oasis agricultural area and could be applicable in other similar irrigation agricultural areas. |
英文关键词 | digital soil mapping fuzzy c-means clustering low relief particle-size distribution semi-arid region water content |
类型 | Article |
语种 | 英语 |
收录类别 | CSCD |
WOS研究方向 | Science & Technology - Other Topics |
CSCD记录号 | CSCD:5786502 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/335701 |
作者单位 | Yang Renmin, Institute of Soil Science, Chinese Academy of Sciences, State Key Laboratory of Soil and Sustainable Agriculture, Nanjing, Jiangsu 210008, China.; Liu Feng, Institute of Soil Science, Chinese Academy of Sciences, State Key Laboratory of Soil and Sustainable Agriculture, Nanjing, Jiangsu 210008, China.; Zhang Ganlin, Institute of Soil Science, Chinese Academy of Sciences, State Key Laboratory of Soil and Sustainable Agriculture, Nanjing, Jiangsu 210008, China.; Zhao Yuguo, Institute of Soil Science, Chinese Academy of Sciences, State Key Laboratory of Soil and Sustainable Agriculture, Nanjing, Jiangsu 210008, China.; Li Decheng, Institute of Soil Science, Chinese Academy of Sciences, State Key Laboratory of Soil and Sustainable Agriculture, Nanjing, Jiangsu 210008, China.; Yang Jinling, Institute of Soil Science, Chinese Academy of Sciences, State Key Laboratory of Soil and Sustainable Agriculture, Nanjing, Jiangsu 210008, China.; Yang Fei, Institute of Soil Science, Chinese Academy of Science... |
推荐引用方式 GB/T 7714 | Yang Renmin,Liu Feng,Zhang Ganlin,et al. Mapping Soil Texture Based on Field Soil Moisture Observations at a High Temporal Resolution in an Oasis Agricultural Area[J],2016,26(5):699-708. |
APA | Yang Renmin.,Liu Feng.,Zhang Ganlin.,Zhao Yuguo.,Li Decheng.,...&Yang Fan.(2016).Mapping Soil Texture Based on Field Soil Moisture Observations at a High Temporal Resolution in an Oasis Agricultural Area.Pedosphere,26(5),699-708. |
MLA | Yang Renmin,et al."Mapping Soil Texture Based on Field Soil Moisture Observations at a High Temporal Resolution in an Oasis Agricultural Area".Pedosphere 26.5(2016):699-708. |
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