Spatial Prediction of Soil Organic Matter Content Using Cokriging with Remotely Sensed Data

CORC > 烟台海岸带研究所 > 中国科学院烟台海岸带研究所 > 中科院海岸带环境过程与生态修复重点实验室 > 滨海湿地实验室

	Spatial Prediction of Soil Organic Matter Content Using Cokriging with Remotely Sensed Data
	Wu, Chunfa ; Wu, Jiaping ; Luo, Yongming ; Zhang, Limin ; DeGloria, Stephen D.
刊名	SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
	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
ISSN号	0361-5995
通讯作者	Wu, CF, Chinese Acad Sci, Yantai Inst Coastal Zone Res Sustainable Dev, Yantai 264003, Peoples R China
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
英文摘要	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.
学科主题	Soil Science
URL标识	查看原文
语种	英语
公开日期	2011-07-05
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/3414]
专题	烟台海岸带研究所_滨海湿地实验室
推荐引用方式 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.