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题名:
Spatial Prediction of Soil Organic Matter Content Using Cokriging with Remotely Sensed Data
作者: Wu, Chunfa ; Wu, Jiaping ; Luo, Yongming ; Zhang, Limin ; DeGloria, Stephen D.
刊名: SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
ISSN号: 0361-5995
出版日期: 2009
卷号: 73, 期号:4, 页码:1202-1208
关键词: MULTIVARIATE GEOSTATISTICAL ANALYSIS ; LANDSAT THEMATIC MAPPER ; SPECTRAL BAND SELECTION ; SURFACE ; CARBON ; MOISTURE ; SEQUESTRATION ; SALINITY ; EVALUATE ; TERRAIN
学科分类: Soil Science
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
通讯作者: Wu, CF, Chinese Acad Sci, Yantai Inst Coastal Zone Res Sustainable Dev, Yantai 264003, Peoples R China
作者部门: 滨海湿地实验室
中文摘要: 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.
收录类别: sci
原文出处: 查看原文
语种: 英语
内容类型: 期刊论文
URI标识: http://ir.yic.ac.cn/handle/133337/3414
Appears in Collections:滨海湿地实验室_期刊论文

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Recommended Citation:
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.
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