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Spatial Prediction of Soil Organic Matter Content Using Cokriging with Remotely Sensed Data
Wu, Chunfa ; Wu, Jiaping ; Luo, Yongming ; Zhang, Limin ; DeGloria, Stephen D.
2009
发表期刊SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
ISSN0361-5995
卷号73期号:4页码:1202-1208
产权排序Zhejiang Univ, Dep Nat Resources & Environ; Chinese Acad Sci, Inst Soil Sci, Key Lab Soil Environm & Pollut Remediat; Haining Agr Extens Serv; Cornell Univ, Dep Crop & Soil Sci
摘要Accurately measuring soil organic matter content (SOM) in paddy fields is important because SOM is one of the key soil properties controlling nutrient budgets in agricultural production systems. Estimation of this soil property at an acceptable level of accuracy is important; especially in the case when SOM exhibits strong spatial dependence and its measurement is a time- and labor-consuming procedure. This study was conducted to evaluate and compare spatial estimation by kriging and cokriging with remotely sensed data to predict SOM using limited available data for a 367-km(2) study area in Haining City, Zhejiang Province, China. Measured SOM ranged from 5.7 to 40.4 g kg(-1), with a mean of 19.5 g kg(-1). Correlation analysis between the SOM content of 131 soil samples and the corresponding digital number (DN) of six bands (Band 1-5 and Band 7) of Landsat Enhanced Thematic Mapper (ETM) imagery showed that correlation between SOM and DN of Band 1 was the highest (r= -0.587). We used the DN of Band I as auxiliary data for the SOM prediction, and used descriptive statistics and the kriging standard deviation (STD) to compare the reliabilities of the predictions. We also used cross-validation to validate the SOM prediction. Results indicate that cokriging with remotely sensed data was superior to kriging in the case of limited available data and the moderately strong linear relationship between remotely sensed data and SOM content. Remotely sensed data such as Landsat ETM imagery have the potential as useful auxiliary variables for improving the precision and reliability of SOM prediction.
通讯作者Wu, CF, Chinese Acad Sci, Yantai Inst Coastal Zone Res Sustainable Dev, Yantai 264003, Peoples R China
关键词Multivariate Geostatistical Analysis Landsat Thematic Mapper Spectral Band Selection Surface Carbon Moisture Sequestration Salinity Evaluate Terrain
作者部门滨海湿地实验室
学科领域Soil Science
项目资助者Natural Science Foundation of China [40341010]; Department of Science and Technology, Zhejiang Province, China [2006C22026]; China Scholarship Council and the Zhejiang University
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收录类别sci
语种英语
文献类型期刊论文
条目标识符http://ir.yic.ac.cn/handle/133337/3414
专题滨海湿地实验室
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GB/T 7714
Wu, Chunfa,Wu, Jiaping,Luo, Yongming,et al. Spatial Prediction of Soil Organic Matter Content Using Cokriging with Remotely Sensed Data[J]. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,2009,73(4):1202-1208.
APA Wu, Chunfa,Wu, Jiaping,Luo, Yongming,Zhang, Limin,&DeGloria, Stephen D..(2009).Spatial Prediction of Soil Organic Matter Content Using Cokriging with Remotely Sensed Data.SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,73(4),1202-1208.
MLA Wu, Chunfa,et al."Spatial Prediction of Soil Organic Matter Content Using Cokriging with Remotely Sensed Data".SOIL SCIENCE SOCIETY OF AMERICA JOURNAL 73.4(2009):1202-1208.
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