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5 4个生育期组合估产模型

Table 5 Estimation models with four growth stages

生育期组合 拟合方程 R2 RMSE(kg/hm2) TS, JS, BS, HS y=-0.34+0.59x1+0.16x2+0.37x3+0.18x4 0.74 248.97 TS, JS, BS, FS y=-0.45+0.64x1+0.17x2+0.58x3+0.028x5 0.73 258.07 TS, JS, BS, RS y=-0.43+0.67x1+0.14x2+0.54x3+0.072x6 0.73 254.74 TS, JS, HS, FS y=-0.18+0.67x1+0.24x2+0.32x4-0.089x5 0.74 253.26 TS, JS, HS, RS y=-0.18+0.70x1+0.17x2+0.22x4+0.053x6 0.74 253.23 TS, JS, FS, RS y=-0.21+0.85x1+0.18x2+0.064x5+0.094x6 0.70 268.31 TS, BS, HS, FS y=-0.52+0.73x1+0.54x3+0.20x4+0.013x5 0.72 259.49 TS, BS, HS, RS y=-0.45+0.72x1+0.45x3+0.16x4+0.084x6 0.73 253.93 TS, BS, FS, RS y=-0.53+0.76x1+0.60x3+0.037x5+0.10x6 0.72 260.69 TS, HS, FS, RS y=-0.29+0.89x1+0.27x4-0.017x5+0.12x6 0.71 262.94 JS, BS, HS, FS y=-0.040+0.28x2+0.58x3+0.30x4-0.14x5 0.72 261.31 JS, BS, HS, RS y=0.017+0.21x2+0.53x3+0.19x4+0.025x6 0.71 265.37 JS, BS, FS, RS y=-0.080+0.22x2+0.79x3-0.014x5+0.064x6 0.69 274.70 JS, HS, FS, RS y=0.32+0.33x2+0.39x4-0.15x5+0.060x6 0.69 273.32 BS, HS, FS, RS y=-0.10+0.77x3+0.24x4-0.043x5+0.10x6 0.68 279.54