科研之友
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摘要
In order to realize real-time monitoring of modern tobacco agriculture, high resolution synthetic aperture radar was applied to analyze correlation between leaf area index (LAI) and radar brightness value with different polarization of HH, VV and bands HH/VV during maturing stage of tobacco leaves in Qingzhen, Guizhou province. Linear regression model and two order polynomial models were thus established. Results showed that unary linear HH/VV model boasted the highest inversion accuracy. Such model proved available to monitor tobacco growth in Guizhou Karst mountainous areas through remote sensing.
