| The purpose of this research was to deepen the mechanism and methods of remote sensing monitoring on crop growth status,and to provide information and technology for farm management. Based on experimental data obtained from 2011 to 2013 in the fixed-point observation experiment,and using HJ-1A/1B satellite images,the quantitative correlations among major growth parameters of winter wheat at turning green stage and the grain quality parameters,field,and remote sensing variables were analyzed. Models for monitoring the leaf area index,biomass,SPAD value,and leaf nitrogen content of winter wheat at turning green stage using remote sensing variables extracted from the HJ-1A/1B images were constructed and assessed,respectively. The results indicated: It is possible to invert leaf area index,biomass,SPAD value,and leaf nitrogen content of winter wheat at turning green stage by remote sensing variables,such as normalized difference vegetation index (NDVI),ratio vegetation index (RVI),spectral reflectance at blue band (B1),and ratio vegetation index (RVI),respectively. The remote sensing monitoring models of the leaf area index,biomass,SPAD value,and leaf nitrogen content of winter wheat were credible,with determination coefficient (R2) of 0.62,0.56,0.46 and 0.58,respectively,and with root mean square error (RMSE) of 0.42,452.3 kg·hm-2,4.39 and 0.54%,respectively. According to the above results,the spatial distribution of the growth parameters of winter wheat could be implemented with agricultural thematic maps of monitoring the major growth indices at different grades with remote sensing method,thus achieved quantitative expression of regional spatial distribution of the major growth indices. |
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