MONITORING OF WINTER WHEAT SEEDLING AT JOINTING STAGE USING REMOTE SENSING TECHNIQUES

A quantitative correlation between major seedling condition parameters in winter wheat at the jointing stage and the grain quality parameters, production, and remote sensing variables was conducted. It is possible to predict leaf area index, SPAD value and leaf nitrogen content in winter wheat at the jointing stage by normalized difference vegetation index (NDVI), and to predict biomass using near-infrared band reflectance (B-4), respectively. The remote sensing models of the leaf area index, SPAD value, leaf nitrogen content and biomass of winter wheat were credible, and higher precision with determination coefficient (R-2) of 0.709, 0.701, 0.671 and 0.612, respectively, and with root mean square error (RMSE) of 0.641, 3.499, 0.347% and 486.3 kg/hm(2), respectively. Spatial distribution map of the major seedling condition parameters of winter wheat could be implemented at different classes with remote sensing method.