Development of a Novel Bidirectional Canopy Reflectance Model for Row-Planted Rice and Wheat
AbstractRice and wheat are mainly planted in a row structure in China. Radiative transfer models have the potential to provide an accurate description of the bidirectional reflectance characteristics of the canopies of row-planted crops, but few of them have addressed the problem of row-planted structures. In this paper, a new 4SAIL-RowCrop model for row-planted rice and wheat canopies was developed by integrating the 4SAIL model and the Kimes geometric model. The Kimes model and the Kimes–Porous geometric optics (GO) module were used to simulate different scene component proportions. Spectral reflectance and transmittance were subsequently calculated using the 4SAIL model to determine the reflectance of crucial scene components: the illuminated canopy, illuminated background and shadowed background. The model was validated by measuring the reflectance of rice and wheat cultivars at different growth stages, planting densities and nitrogen fertilization rates. The directional and nadir reflectance simulated by the model agreed well with experimental data, with squared correlation coefficients of 0.69 and 0.98, root mean square errors of 0.013 and 0.009 and normalized root mean square errors of 15.8% and 12.4%, respectively. The results indicate that the 4SAIL-RowCrop model is suitable for simulating the spectral reflectance of the canopy of row-planted rice and wheat. View Full-Text
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Zhou, K.; Guo, Y.; Geng, Y.; Zhu, Y.; Cao, W.; Tian, Y. Development of a Novel Bidirectional Canopy Reflectance Model for Row-Planted Rice and Wheat. Remote Sens. 2014, 6, 7632-7659.
Zhou K, Guo Y, Geng Y, Zhu Y, Cao W, Tian Y. Development of a Novel Bidirectional Canopy Reflectance Model for Row-Planted Rice and Wheat. Remote Sensing. 2014; 6(8):7632-7659.Chicago/Turabian Style
Zhou, Kai; Guo, Yongjiu; Geng, Yanan; Zhu, Yan; Cao, Weixing; Tian, Yongchao. 2014. "Development of a Novel Bidirectional Canopy Reflectance Model for Row-Planted Rice and Wheat." Remote Sens. 6, no. 8: 7632-7659.