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3 两个生育期组合估产模型

Table 3 Estimation models with two growth stages

生育期组合 拟合方程 R2 RMSE(kg/hm2) TS，JS y=-0.23+0.89x1+0.31x2 0.68 279.48 TS，BS y=-0.74+0.82x1+0.89x3 0.69 273.09 TS，HS y=-0.35+0.95x1+0.36x4 0.69 273.63 TS，FS y=-0.32+1.05x1+0.25x5 0.66 287.10 TS，RS y=-0.36+1.13x1+0.21x6 0.67 284.11 JS，BS y=-0.11+0.26x2+0.83x3 0.68 277.16 JS，HS y=0.34+0.30x2+0.32x4 0.68 278.40 JS，FS y=0.46+0.35x2+0.17x5 0.61 307.51 JS，RS y=0.47+0.37x2+0.13x6 0.61 306.99 BS，HS y=-0.16+0.87x3+0.27x4 0.66 286.15 BS，FS y=-0.18+1.01x3+0.15x5 0.64 295.91 BS，RS y=-0.19+1.03x3+0.14x6 0.65 290.84 HS，HS y=0.41+0.40x4+0.15x5 0.59 316.73 HS，RS y=0.40+0.40x4+0.15x6 0.61 306.01 FS，RS y=0.54+0.28x5+0.16x6 0.55 330.61