CAJ | 학술논문

叶绿素作为植物体内参与光合作用的重要色素,其含量对作物生长状况、产量和品质有很大影响.为此,利用野外便携式ASD光谱仪,实测了田间甜菜冠层光谱数据,且用SPAD-502叶绿素仪测定叶片SPAD值.基于原始光谱和一阶导数光谱与SPAD值相关性,选取植被指数和波段深度信息建立SPAD值预测模型,并用对照田试验数据对模型进行验证.通过对比植被指数建立的回归模型及波段深度分析,结合多元逐步回归建立的估算模型可知,波段深度比(BDR)结合SMLR建立的估算模型验证结果最好(RMSE=2.54,RE=4.5%).研究结果表明:导数处理能提高光谱数据与SPAD值相关系数,波段深度信息结合多元逐步回归相比植被指数能提高SPAD值估算精度.
협록소작위식물체내삼여광합작용적중요색소,기함량대작물생장상황、산량화품질유흔대영향.위차,이용야외편휴식ASD광보의,실측료전간첨채관층광보수거,차용SPAD-502협록소의측정협편SPAD치.기우원시광보화일계도수광보여SPAD치상관성,선취식피지수화파단심도신식건립SPAD치예측모형,병용대조전시험수거대모형진행험증.통과대비식피지수건립적회귀모형급파단심도분석,결합다원축보회귀건립적고산모형가지,파단심도비(BDR)결합SMLR건립적고산모형험증결과최호(RMSE=2.54,RE=4.5%).연구결과표명:도수처리능제고광보수거여SPAD치상관계수,파단심도신식결합다원축보회귀상비식피지수능제고SPAD치고산정도.
Chlorophyll plays an important role in photosynthesis processing in the plants, the content of which has an effect on the crop conditions, yield and qualities.In this study, we have used a portable ASD spectrometer measured the canopy spectral data of sugar beet, and we also measured SPAD value through SPAD-502 chlorophyll meter.We select-ed vegetation index and band information to establish the depth SPAD value prediction model base on the correlation be -tween original spectrum and the first derivative of the SPAD values, and then we used the field test data to validate this model.By comparing the regression model established by the vegetation index and the estimation model established by the depth of the band combines multiple stepwise regression analysis, the result of band depth ratio ( BDR) combined estima-tion model validation SMLR is much better ( RMSE =2.54, RE =4.5%).The results showed that the derivative of the spectral data processing can improve the value of the correlation coefficient with the SPAD, and the band combines depth information multivariate regression, compared to vegetation index estimation model, can improve the accuracy of SPAD value better.