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以仙客来为试材,研究了在不同水分处理情况下仙客来冠层光谱与叶片含水率之间的关系,并对不同叶片含水率与水分指数之间关系进行了线性、二项式与指数反演研究。结果表明:不同时期下冠层叶片水含量的敏感波段为944、1 033、1 105、1 970、2 813、3 350nm;采用计算归一化水分指数NDVI(820,1 600)进行光谱指数计算,结果表明,指数回归模型检测结果最优,决定系数为0.73006;所建立的回归模型可以进行仙客来水分状况监测。
Taking cyclamen as test material, the relationship between canopy spectra and leaf moisture content of cyclamen under different water treatments was studied. The relationship between the leaf water content and moisture index of different leaves was linear and binomial Inversion with Exponential. The results showed that the sensitive bands of water content of canopy leaves were 944,1 033,1 105,1 970,2 813,3 350 nm at different periods. The spectral index was calculated by calculating normalized moisture index NDVI (820,1 600) The results show that the exponential regression model has the best detection result with a coefficient of determination of 0.73006. The regression model established can monitor the water status of cyclamen.