首页|基于 PROSPECT模型的蔬菜叶片叶绿素含量和SPAD值反演

基于 PROSPECT模型的蔬菜叶片叶绿素含量和SPAD值反演

扫码查看
叶绿素含量是衡量植物营养和病虫害发生情况的重要指标.传统的分光光度法对植物叶片破坏性较大且无法实时、快速、无损地获取叶绿素含量.新兴的利用叶绿素仪测量叶绿素相对含量(以下简称SPAD值)的方法不能定量获取实际含量.光学辐射传输模型PROSPECT 从生物物理、化学的角度以及能量传输的过程出发,定量描述了叶片色素、水分、结构参数等对叶片反射光谱的影响.因此,提出利用PROS-PECT模型同时反演蔬菜叶片叶绿素含量和SPAD值,实时、快速、无损、定量获取植物叶片叶绿素的含量.第一,多次测量三种蔬菜叶片的反射光谱,并用叶绿素仪测量SPAD值.然后,预处理光谱数据,获得平均反射率光谱.第二,以欧式距离为评价函数,利用PROSPECT 模型对实测反射率光谱进行拟合.拟合过程中三种蔬菜欧式距离最大为0.008 9 ,最小为0. 006 4 ,平均为0. 007 5 ,表明该模型能够很好地拟合蔬菜叶片的反射率光谱.第三,根据拟合结果,反演叶绿素含量和透射率光谱,再根据透射率光谱获取叶片在940和650 nm波长处的光透过率,计算叶片的反演SPAD值.第四,建立反演叶绿素含量、反演SPAD值与实测SPAD值的关系模型.结果表明:(1)利用该模型反演得到的叶绿素含量值与实测SPAD值有较好的线性关系,其关系模型为:y=1.463 3 x+16. 374 3 ,两者相关系数为0. 927 1 ,模型的决定系数为0. 862 ,均方根误差为2.11 ;(2)利用该模型反演得到的SPAD值与实测SPAD值之间线性关系较好,其关系模型为: y=0. 986 9 x-0.668 3 ,两者相关系数为0.845 1 ,模型的决定系数为0.714 3 ,均方根误差为3.380 2 .研究表明,通过测量植物叶片的反射率光谱,利用PROSPECT 模型可以无损、定量地获取蔬菜叶片的叶绿素含量和SPAD值.该方法可推广至其他植物的叶绿素测量和实时监测,为变量施肥、精准种植提供可靠的数据支持.研究结果对蔬菜生长态势的无损监测具有重要的意义.
Inversion of Chlorophyll Content and SPAD Value of Vegetable Leaves Based on PROSPECT Model
Chlorophyll content is an important indicator for evaluation of plant nutrition and the occurrence of the pests .T he tra-ditional spectrophotometry causes damage to plant leaves and can not be used to obtain the chlorophyll content in a real time ,fast and non-destructive way .T he chlorophyll meter is recently developed to measure the relative content of chlorophyll (referred to as SPAD value).But this method cannot be used to quantitatively obtain the actual content .T he optical radiation transmission model PROSPECT can quantitatively describe the effects of leaf pigment ,moisture and structural parameters on the reflection spectrum of the leaves with careful consideration of the biophysics ,chemistry and the process of energy transfer in the leaves .In the paper ,therefore ,this model is used to simultaneously inverse the chlorophyll content and SPAD value of vegetable leaves , and obtain the chlorophyll content of plant leaves real-timely ,quickly ,non-destructively and quantitatively .First ,the reflection spectra of the leaves for three vegetables were measured several times ,and the SPAD values of these leaves were measured with a chlorophyll meter .T hen ,the spectral data were preprocessed to obtain the average reflectance spectrum .Second ,the averaged reflectance spectra were fitted by the PROSPECT model with the Euclidean distance as the evaluation function .T he maximum distance of the three vegetables in the fitting process was 0.008 9 ,the minimum was 0.006 4 ,and the average was 0.007 5 . Such a low Euclidean distance indicated that the model could well fit the reflectance spectrum of vegetable leaves .T hirdly ,ac-cording to the fitting results ,the chlorophyll content and the transmittance spectrum were inversed ,and the inversed SPAD val-ue of the leaves was calculated with the light transmittance of the leaves at 940 and 650 nm as input parameters .Fourth ,this pa-per established a relationship model between the inversed chlorophyll content ,the inversed SPAD value and the measured SPAD value.T wo main results were obtained :(1) the chlorophyll content obtained by the model has a good linear relationship with the measured SPAD value and the relationship model is y= 1.463 3 x+ 16.374 3 .T he correlation coefficient between them is 0.927 1 .T he coefficient of determination of the model is 0. 862 and the root mean square error is 2.11 .(2) A good linear rela-tionship of y=0. 986 9 x-0.668 3 is obtained for the inversed SPAD value and the measured SPAD value .T he correlation coeffi-cient between them is 0.845 1 .T he coefficient of determination of the model is 0. 714 3 and the root mean square error is 3.380 2 .T he research show s that the PROSPECT model can be used to obtain the chlorophyll content and SPAD value of vege-table leaves nondestructively and quantitatively with the measured reflectance spectrum of plant leaves as input parameters .T his method can be extended to other plants for chlorophyll measurement and real-time monitoring and can provide reliable data sup-port for variable rate fertilization and precision planting .T he results presented in this paper can be applied to monitor the grow th of the vegetables nondestructively .

HyperspectralVegetable leafChlorophyll contentSPAD valueInversion

雷祥祥、赵静、刘厚诚、张继业、梁文跃、田佳灵、龙拥兵

展开 >

华南农业大学电子工程学院,广东 广州 510642

华南农业大学园艺学院,广东 广州 510642

高光谱 蔬菜叶片 叶绿素含量 SPAD值 反演

广东省重点领域研发计划项目广东省重点领域研发计划项目广东省 2019 年省级乡村战略振兴专项国家自然科学基金

2019B0202190022019B020214005 粤财农2019 73号11774099资助

2019

光谱学与光谱分析
中国光学学会

光谱学与光谱分析

CSTPCDCSCD北大核心SCIEI
影响因子:0.897
ISSN:1000-0593
年,卷(期):2019.39(10)
  • 12
  • 19