Wang, K.; Zhou, Z.; Liao, J., and Fu, Y., 2015. The application of high resolution SAR in mountain area of Karst tobacco leaf area index estimation model.

Karst mountain is cloudy and rainy weather, surface broken, and land distribution is not concentrated, crop inter-planting, which cause the conventional remote sensing monitoring methods cannot meet the need of tobacco real-time monitoring. In order to realize the real-time monitoring of modern tobacco agriculture, study on the selection of high resolution synthetic aperture radar was applied in the mountainous area of Karst tobacco monitoring model. Guizhou qingzhen national modern tobacco agriculture base as the research area, in growth and maturity of tobacco, analysis different polarization of HH/VV and the bands HH/VV radar brightness value and the tobacco leaf area index correlation, construct the linear regression model and the two order polynomial model to inversion tobacco leaf area index. The results show that different polarization combinations of two kinds of model SAR brightness and LAI have better fitting degree, a linear HH/VV model inversion accuracy ratio, which achieve 91%. The results of the study can be timely access to tobacco growth status information, to provide data support and policy decision for tobacco monitoring and yield estimation.