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Study on Heavy Metal Element Content in the Coastal Saline Soil by Hyperspectral Remote Sensing

GONG Shao-qi1,2,WANG Xin2,SHEN Run-ping1,LIU Zhen-bo1,LI Yun-mei2(1.College of Remote Sensing,Nanjing University of Information Science andTechnology,Nanjing 210044,China;2.Virtual Geographical Environment Laboratoryof Ministry of Education,Nanjing Normal University,Nanjing 210046,China)  
With its high spectral resolution,hyperspectral remote sensing has a great potential in obtaining quantitative information of soil components,such as organic matter,mineral substance.Taking Yangkou town Rudong county as a research area,the coherence between soil heavy metal elements Cr,Cu and Ni and soil clay mineral,iron-manganese oxide and carbonate is studied after soil reflectance spectrums are measured and soil components are analyzed by chemistry methods.Soil spectrums are processed by first derivative,inverse-log and continuum removed methods,then the characteristic spectral wavelengths of soil heavy metal elements are obtained.Given that the best quantitative remote sensing models for 3 heavy metal elements are deduced by stepwise regression after the correlation analysis of soil heavy metal elements content and spectral variables.The results show that 3 heavy metal elements have good correlations with spectral variables at wavelength 429 nm,470 nm,490 nm,1 430 nm,2 398 nm and 2 455 nm,the accuracy of the model for first derivative spectral variable is the highest among the models.The study aims that the content of heavy metal elements in the soils can potentially be quantitatively deduced by remote sensing,and would provide a basis for the evaluation and interpretation of heavy metal and environment pollution on a large scale by the hyperspectral remote sensing.
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