冬小麦生物量及氮积累量的植被指数动态模型研究

吴亚鹏,贺利,王洋洋,刘北城,王永华,郭天财,冯伟

Dynamic model of vegetation indices for biomass and nitrogen accumulation in winter wheat

Ya-Peng WU,Li HE,Yang-Yang WANG,Bei-Cheng LIU,Yong-Hua WANG,Tian-Cai GUO,Wei FENG

表3 不同产量水平下植被指数的双Logistic模型参数

Table 3 Double Logistic model parameters of vegetation indices under different yield levels

产量水平 Yield level 植被指数 Vegetation index y0 a1 a2 t1 (℃ d) t2 (℃ d) b1 (℃ d) b2 (℃ d) R2 RMSE 低产 Low yield mRER 1.018 0.103 0.073 497.99 1560.38 207.55 266.55 0.608 0.024 CIred-edge 0.105 0.541 0.570 650.37 1818.35 218.81 258.45 0.736 0.110 NDSI 0.015 0.010 0.010 856.32 1817.99 211.89 242.12 0.637 0.003 SAVI (825, 735) 0.067 0.078 0.107 762.94 1870.95 156.52 327.55 0.700 0.023 中产 Medium yield mRER 1.029 0.269 0.249 766.34 1854.98 142.29 148.59 0.788 0.051 CIred-edge 0.165 1.401 1.580 792.61 1881.39 124.23 169.07 0.822 0.293 NDSI 0.015 0.032 0.036 911.92 1973.14 134.91 185.07 0.735 0.008 SAVI (825, 735) 0.064 0.223 0.250 797.02 1940.42 149.19 191.40 0.862 0.036 高产 High yield mRER 1.026 0.354 0.356 778.57 1905.52 143.95 161.59 0.878 0.048 CIred-edge 0.175 2.003 2.324 814.39 1908.69 136.04 192.63 0.891 0.268 NDSI 0.016 0.044 0.051 919.84 2024.15 119.12 186.65 0.827 0.007 SAVI (825, 735) 0.074 0.265 0.328 811.25 1995.09 124.05 183.68 0.917 0.034 超高产 Super high yield mRER 1.021 0.415 0.430 815.03 1900.98 160.16 167.94 0.957 0.037 CIred-edge 0.186 2.246 2.493 815.88 1890.37 144.05 170.35 0.954 0.202 NDSI 0.017 0.048 0.055 917.39 1996.33 90.17 160.00 0.882 0.006 SAVI (825, 735) 0.092 0.270 0.327 809.89 1950.72 86.97 153.58 0.950 0.023