Estimation of Rice Panicle Biomass by Remotely Sensed Photosynthetically Active Absorption
Due to the complexity of canopy geometry and spectral characteristics,the traditional vegetation index inversion method is difficult to estimate the biomass of rice panicle.Based on the absorption coefficient of photosynthetically active radiation obtained by the UAV platform,this paper established a remote model for estimating panicle biomass based on photosynthetically active absorption by analyzing the change of the photosynthetically active radiation absorption capacity in different spectral regions during rice post-heading period.The results showed that compared with the traditional empirical model using vegetation index,the model using blue-red absorption difference index proposed in this paper had higher accuracy for panicle biomass estimation,with the coefficient of determination of 0.83,the root mean square error of 147.50 g/m2,and the coefficient of variation of 10.19%.Using the calibrated model for validation samples from different year and location,the validation accuracy was quite high with R2 of 0.72,which presented the good migration ability of the model.Therefore,the model can achieve accurate estimation of rice panicle biomass by remotely sensed photosynthetically active absorption,which is helpful to improve the precision and efficiency of crop yield estimation at large scales.
RicePanicle biomassUAV remote sensingPhotosynthetically active radiationAbsorption coefficient
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