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	Development of a surface modeling method for mapping soil properties
	Shi W. J. ; Liu J. Y. ; Du Z. P. ; Yue T. X.
	2012
关键词	high accuracy surface modeling (HASM) spatial interpolation accuracy geostatistics soil properties red soil hilly region in South China spatial prediction dem construction high-accuracy information
英文摘要	High accuracy surface modeling (HASM) is a method which can be applied to soil property interpolation. In this paper, we present a method of HASM combined geographic information for soil property interpolation (HASM-SP) to improve the accuracy. Based on soil types, land use types and parent rocks, HASM-SP was applied to interpolate soil available P, Li, pH, alkali-hydrolyzable N, total K and Cr in a typical red soil hilly region. To evaluate the performance of HASM-SP, we compared its performance with that of ordinary kriging (OK), ordinary kriging combined geographic information (OK-Geo) and stratified kriging (SK). The results showed that the methods combined with geographic information including HASM-SP and OK-Geo obtained a lower estimation bias. HASM-SP also showed less MAEs and RMSEs when it was compared with the other three methods (OK-Geo, OK and SK). Much more details were presented in the HASM-SP maps for soil properties due to the combination of different types of geographic information which gave abrupt boundary for the spatial variation of soil properties. Therefore, HASM-SP can not only reduce prediction errors but also can be accordant with the distribution of geographic information, which make the spatial simulation of soil property more reasonable. HASM-SP has not only enriched the theory of high accuracy surface modeling of soil property, but also provided a scientific method for the application in resource management and environment planning.
出处	Journal of Geographical Sciences
卷	22
期	4
页	752-760
收录类别	SCI
语种	英语
ISSN号	1009-637X
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/26804]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Shi W. J.,Liu J. Y.,Du Z. P.,et al. Development of a surface modeling method for mapping soil properties. 2012.

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