Pan Bei, Zhao Geng-Xing, Zhu Xi-Cun, Liu Hai-Teng, Liang Shuang, Tian Da-De
National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer Resources, College of Resources and Environment, Shandong Agricultural University, Tai'an 271018, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2013 Aug;33(8):2203-6.
The hyperspectral reflectance of apple tree canopy during spring shoots stopping growth period was measured using ASD FieldSpec3 field spectrometer. Original spectral data were processed in deviation forms, and significant spectrum parameters correlated with chlorophyll content were found out with correlation analysis. The best vegetation indices were chosen and the apple canopy chlorophyll content estimation model was established by analyzing vegetation index of two-band combination in the sensitive region 400-1 350 nm. The result showed that (1) The sensitive band region of apple canopy chlorophyll content is 400-1 350 nm. (2) The vegetation index CCI(D(794)/D(763)) can commendably estimate the apple canopy chlorophyll content. (3) The model with CCI(D(794)/D(763)) as the independent variables was determined to be the best for chlorophyll content prediction of apple tree canopy. Therefore, using hyperspectral technology can estimate apple canopy chlorophyll content more rapidly and accurately, and provides a theoretical basis for rapid apple tree canopy nutrition diagnosis and growth monitoring.
利用ASD FieldSpec3野外光谱仪测量了苹果树冠在春梢停止生长期的高光谱反射率。原始光谱数据以偏差形式进行处理，并通过相关性分析找出了与叶绿素含量相关的显著光谱参数。通过分析400 - 1350 nm敏感区域内两波段组合的植被指数，选择了最佳植被指数并建立了苹果树冠叶绿素含量估算模型。结果表明：（1）苹果树冠叶绿素含量的敏感波段区域为400 - 1350 nm。（2）植被指数CCI(D(794)/D(763))能够较好地估算苹果树冠叶绿素含量。（3）以CCI(D(794)/D(763))为自变量的模型被确定为预测苹果树冠叶绿素含量的最佳模型。因此，利用高光谱技术能够更快速、准确地估算苹果树冠叶绿素含量，为苹果树树冠营养快速诊断和生长监测提供了理论依据。
