| In order to investigate the method using multi-spectral remote sensing to detect wheat seedling condition in the key period，and improve the quantitative level of remote sensing monitoring and credibility.Experimental data obtained from 2011-2012 in the fixed-point observation experiment and HJ-CCD multi-spectral satellite images were used to study the quantitative correlations between major seedling parameters of wheat at 15 days after anthesis,the grain quality parameters and production with remote sensing variables.Models for extracting the leaf area index, biomass, SPAD value, and leaf nitrogen content of wheat at 15 days after anthesis using remote sensing variables extracted from the HJ-CCD multi-spectral images were built and assessed, respectively.Results showed that it is feasible to detect leaf area index, biomass, SPAD value, and leaf nitrogen content of wheat at 15 days after anthesis by remote sensing variables such as structure intensive pigment index (SIPI), spectrum reflectance at near infrared bands (B4), spectrum reflectance at green bands (B2), and normalized difference vegetation index (NDVI), respectively. The remote sensing inversion models of the leaf area index, biomass, SPAD value, and leaf nitrogen content of wheat were credible, and put up high precision with determination coefficient (R2) of 0.84, 0.81, 0.73 and 0.83, respectively, and with root mean square error (RMSE) of 0.89, 2 425.2 kg·hm-2, 3.17 and 0.27%, respectively. According to above results, the spatial distribution of seedling condition parameters of wheat could be implemented with agricultural thematic maps of extracting the major seedling parameters at different classes with remote sensing method, thus achieved quantitative expression of regional spatial distribution of the seedling condition parameters. |
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