Research on remote sensing monitoring model of soil salinization based on spectrum characteristic analysis
GUAN Hong1, JIA Keli1,2, ZHANG Zhinan1, MA Xin1
1. College of Resource and Environment, Ningxia University, Yinchuan 750021, China;
2. Ningxia Key Laboratory of Intelligent Sensing for Desert Information, Yinchuan 750021, China
To establish the remote sensing monitoring model for soil salinization, the authors chose the typical soil salinization area in Pingluo County of Ningxia as the study area, and measured the spectral data in the field. These data, together with the values of pH and salinity measured in the laboratory, were taken as the basic data. Hyperspectral data processing method was used to analyze the spectral characteristics of different levels of soil salinization. Spectral data were transformed with 11 different approaches, such as reciprocal, logarithm, root mean square and their first order differentials. After the transformation, the correlation analysis was carried out between the obtained soil spectra and soil salinity. The most sensitive band was selected, and the field spectral sensitive band and soil salinity were used and the multiple linear regression was employed to establish the spectral quantitative models for evaluating the soil salinization degrees. The results show that the reciprocal first order differential of measured soil spectral is most sensitive to soil salinization degrees. The spectral quantitative models based on the wavelengths of 940 nm and 1 094 nm are the best.
关红, 贾科利, 张至楠, 马欣. 盐渍化土壤光谱特征分析与建模[J]. 国土资源遥感, 2015, 27(2): 100-104.
GUAN Hong, JIA Keli, ZHANG Zhinan, MA Xin. Research on remote sensing monitoring model of soil salinization based on spectrum characteristic analysis. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(2): 100-104.
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2015, Vol. 27 
