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Research on Indirect Hyperspectral Estimating Model and the Spatial Distribution Characteristics of Heavy Metal Contents in Basin Soil of Lean River

LAN Ze-ying;LIU Yang;Management College,Guangdong University of Technology;Guangzhou Urban Planning & Design Survey Research Institute;  
At present,supervision on the heavy metal contents in soil attracts increasing attention in the field of geography.This paper selects Lean River and its tributary basin in Jiangxi Province as the study area,discusses an inversion analysis method for the heavy metals(Cu,Zn,Pb)content in soil by using the hyperspectral data.According to the physical and chemical properties of the basin soil,the PLS model is used for organic matter content inversion based on the hyperspectral data;and then,the artificial neural network model has been used to set up the correlation between the organic matter content and the heavy metal content.Finally,the spatial distribution characteristics of the heavy metals content in soil are summarized by using correlation analysis and comparative analysis methods.The experimental results provide a powerful reference for the ecological environment monitoring of the basin soil,and strongly show that this method is satisfactory,and is also suitable for promotion in similar flood plain regions.
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