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Review of Retrieving Soil Heavy Metal Content by Hyperspectral Remote Sensing

He Junliang;Zhang Shuyuan;Zha Yong;Jiang Jianjun;Key Laboratory of Ministry of Education for Virtual Geographic Environment,School of Geography Science,Nanjing Normal University;School of Resources and Environment Science,Shijiazhuang University;  
Heavy metal pollution in soil is one of the major environmental issues in the world.The issue that how to obtain the information of heavy metals content and distribution in soil rapidly and efficiently,which is the prerequisite for assessment and evaluation of pollution risk.Hyperspectral remote sensing has the advantage of offering non-destructive and real-time information while the study of retrieving soil heavy metals content by hyperspectral remote sensing is still under discussion.So this paper introduced and analyzed the achievements of inversion mechanism and modeling methods.The analysis shows that fully study of the adsorption properties of heavy metals in different soil types is the basis for deeply understanding inversion mechanism of heavy metals content in soils.This paper offered to strengthen the comparative analysis of different kinds of soil and different degree of pollution cases,develop the spectral signal processing methods,and introduce the algorithms for nonlinear models and setting up the model for chemical forms of heavy metals,which are the key research directions to estimate heavy mental content in soil by remote sensing.
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