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Hyperspectral parameters and prediction model of soil moisture in coastal saline.

LI Chen1, ZHANG Guo-wei2, ZHOU Zhi-guo1, ZHAO Wen-qing1, MENG Ya-li1, CHEN Bing-lin1, WANG You-hua1   

  1.  (1Ministry of Agriculture Key Laboratory of Crop Physiology, Ecology and Management/ Jiangsu Province Modern Crop Production Collaborative Innovation Center, Nanjing Agricultural University, Nanjing 210095, China; 2Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China)
  • Online:2016-02-18 Published:2016-02-18

Abstract: Based on the data of soil moisture content and indoor soil surface spectral reflectance from five sampling sites of coastal saline soil, this paper analyzed the relationship between soil moisture content and soil spectrum in wavelength 350-2500 nm. We determined spectral parameters under ratio spectral index (RSI), normalized difference spectral index (NDSI) and difference spectral index (DI), and established the quantitative model of soil moisture content. The results showed significant negative correlation between spectral reflectance and soil moisture content, and the maximum negative correlation was near 1930 nm (r=0.86). By comparison of the regression equation of RSI, NDSI and DI, it was found that the regression equation of exponential function (y=0.00001e9.72053x) built by soil moisture content based on RSI (R1407,R1459) presented the maximum R2(0.780) and the minimum SE (0.016). The established model based on RSI (R1407, R1459) could be used to monitor soil moisture content accurately in Jiangsu coastal saline soils.