Zhu Xi-Cun, Zhao Geng-Xing, Dong Fang, Wang Ling, Lei Tong, Zhan Bing
College of Resources and Environment, Shandong Agricultural University, Tai'an 271018, Shandong, China.
Ying Yong Sheng Tai Xue Bao. 2009 Oct;20(10):2424-30.
By using ASD FieldSpec 3 field spectrometer, the hyperspectral reflectance of apple flowers at full-blooming stage was measured under laboratory conditions, and the correlations of the hyperspectral reflectance with the phosphorus content of apple flowers were analyzed based on the original spectrum and the first derivative spectral characteristics of the flowers. The sensitive wavebands were determined, the characteristic spectral parameters were constructed, and the monitoring models for the phosphorus content of apple flowers were established accordingly. Correlation analysis showed that the phosphorus content of apple flowers was significantly positively correlated with the original spectral reflectance at 350-370 nm, 670-1385 nm, and 1620-1760 nm, and the first derivative reflectance at 500-520 nm, and significantly negatively correlated with the first derivative reflectance at 670-730 nm. The spectral parameters DVI (936, 676), DVI (977, 676), NDVI (936, 676) and NDVI (977, 676) had close correlations with the phosphorus content of apple flowers, the correlation coefficients being all > 0.77. By using these spectral parameters as independent variables, four monitoring models for the phosphorus content of apple flowers were established, among which, the model with NDVI (936, 676) as the variable was validated as the best monitoring model, its determination coefficient was the highest (R2 = 0.9385), root mean square error and relative error were the smallest (RMSE = 0.6883, and RE = 7.6%), and prediction accuracy reached 92.4%.
利用ASD FieldSpec 3野外光谱仪,在实验室条件下测定了苹果花盛开期的高光谱反射率,并基于花朵的原始光谱和一阶导数光谱特征,分析了高光谱反射率与苹果花磷含量的相关性。确定了敏感波段,构建了特征光谱参数,并据此建立了苹果花磷含量的监测模型。相关性分析表明,苹果花磷含量与350 - 370nm、670 - 1385nm和1620 - 1760nm处的原始光谱反射率以及500 - 520nm处的一阶导数反射率呈显著正相关,与670 - 730nm处的一阶导数反射率呈显著负相关。光谱参数DVI(936, 676)、DVI(977, 676)、NDVI(936, 676)和NDVI(977, 676)与苹果花磷含量密切相关,相关系数均>0.77。以这些光谱参数为自变量,建立了4个苹果花磷含量监测模型,其中以NDVI(936, 676)为变量的模型被验证为最佳监测模型,其决定系数最高(R2 = 0.9385),均方根误差和相对误差最小(RMSE = 0.6883,RE = 7.6%),预测准确率达到92.4%。