基于相对光谱变量的无人机遥感水稻估产及产量制图

王飞龙,王福民,胡景辉,谢莉莉,谢京凯

Estimating and Mapping Rice Yield Using UAV-Hyperspectral Imager based Relative Spectral Variates

Feilong Wang,Fumin Wang,Jinghui Hu,Lili Xie,Jingkai Xie

表4 3个生育期组合估产模型

Table 4 Estimation models with three growth stages

生育期组合 拟合方程 R2 RMSE(kg/hm2) TS, JS, BS y=-0.47+0.64x1+0.19x2+0.62x3 0.72 258.34 TS, JS, HS y=-0.18+0.69x1+0.20x2+0.25x4 0.73 255.05 TS, JS, FS y=-0.20+0.84x1+0.22x2+0.12x5 0.69 273.39 TS, JS, RS y=-0.21+0.87x1+0.21x2+0.12x6 0.70 269.67 TS, BS, HS y=-0.53+0.74x1+0.55x3+0.21x4 0.72 259.54 TS, BS, FS y=-0.57+0.77x1+0.67x3+0.11x5 0.71 267.29 TS, BS, RS y=-0.56+0.77x1+0.65x3+0.12x6 0.72 261.17 TS, HS, FS y=-0.31+0.92x1+0.28x4+0.075x5 0.70 271.85 TS, HS, RS y=-0.27+0.88x1+0.25x4+0.11x6 0.71 263.01 TS, HS, RS y=-0.29+1.00x1+0.14x5+0.13x6 0.68 276.86 JS, BS, HS y=0.0070+0.22x2+0.54x3+0.20x4 0.71 265.77 JS, BS, FS y=-0.098+0.25x2+0.81x3+0.020x5 0.68 277.02 JS, BS, RS y=-0.072+0.22x2+0.77x3+0.060x6 0.69 274.76 JS, HS, FS y=0.32+0.35x2+0.40x4-0.11x5 0.69 275.64 JS, HS, RS y=0.35+0.28x2+0.30x4+0.040x6 0.68 277.45 JS, FS, RS y=0.46+0.31x2+0.11x5+0.090x6 0.62 303.37 BS, HS, FS y=-0.14+0.84x3+0.24x4+0.030x5 0.66 285.89 BS, HS, RS y=-0.084+0.75x3+0.21x4+0.092x6 0.68 279.96 BS, FS, RS y=-0.14+0.94x3+0.071x5+0.11x6 0.65 289.28 HS, FS, RS y=0.41+0.38x4+0.039x5+0.14x6 0.61 305.69