Journal of Geographical Sciences >
Development of a surface modeling method for mapping soil properties
Received date: 2011-12-26
Revised date: 2012-02-02
Online published: 2012-07-10
Supported by
National Natural Science Foundation of China, No.41001057; China National Science Fund for Distinguished Young Scholars, No.40825003;Project Supported by State Key Laboratory of Earth Surface Processes and Resource Ecology, No.2011-KF-06
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.
SHI Wenjiao, LIU Jiyuan, DU Zhengping, YUE Tianxiang . Development of a surface modeling method for mapping soil properties[J]. Journal of Geographical Sciences, 2012 , 22(4) : 752 -760 . DOI: 10.1007/s11442-012-0960-z
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