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[1]WANG Geng-ming,LI Da,WANG Zhong-zhong,et al.Research on Remote Sensing Inversion of Salt Content in Saline-alkali Soil in Songliao Plain[J].Research of Soil and Water Conservation,2009,16(03):235-237.

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Research on Remote Sensing Inversion of Salt Content in Saline-alkali Soil in Songliao Plain

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 16 Number of periods: 2009 03 Page number: 235-237 Column: Public date: 2009-06-20

Title:: Research on Remote Sensing Inversion of Salt Content in Saline-alkali Soil in Songliao Plain

Author(s):: WANG Geng-ming¹, LI Da², WANG Zhong-zhong¹, XING Yu³; 1. Guangdong Province Institute of Geological Survey, Guangzhou 510080, China;
2. Guangdong Province Atlas Publishing House, Guangzhou 510080, China;
3. College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China

Keywords:: Songliao Plain; saline-alkali soil; salt content; remote sensing inversion

CLC:: S156.4;TP79

DOI:: -

Abstract:: Through analyzing the correlation coefficient, standard deviation and diagnosis index of the former nine bands in Aster remote sensing image, it finds that the soil reflectivity of b₁, b₂, b₃ in Aster remote sensing image is more sensitive to salt content in the soil. Stepwise regression analysis is made by using the b₁, b₂, b₃ in Aster remote sensing image as independent variable and salinity in soil as dependent variable, and the statistical model of the soil reflectivity data and the soil salt content data is established. The surface object is divided into five kinds by using decision tree sort, in order to obtain the spatial distribution map of salinity in saline-alkali soil. The research indicates that the effect of remote sensing reversion based on statistical model is better and the research result has a certain value of reference and application.

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