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浙江大学学报（农业与生命科学版）
浙江大学学报（农业与生命科学版）  2021, Vol. 47 Issue (4): 464-472    DOI: 10.3785/j.issn.1008-9209.2020.10.201
作物表型分析技术及应用专题     
利用不同红边位置算法估测玉米叶绿素含量
张佳伟(),王仲林,谭先明,王贝贝,杨文钰,杨峰()
四川农业大学农学院/西南作物生理生态与耕作重点实验室/四川省作物带状复合种植工程技术研究中心，成都 611130
Estimation of corn chlorophyll content using different red edge position algorithms
Jiawei ZHANG(),Zhonglin WANG,Xianming TAN,Beibei WANG,Wenyu YANG,Feng YANG()
Engineering Technology Research Center of Crop Strip Compound Planting of Sichuan Province/Southwest Key Laboratory of Crop Physiology, Ecology and Farming/College of Agronomy, Sichuan Agricultural University, Chengdu 611130, China
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摘要：

本研究基于玉米-大豆带状套作复合种植模式，以不同施氮水平下的玉米为试验材料，在拔节期、抽雄吐丝期和灌浆期分别测定其叶片与冠层的反射光谱和叶绿素含量，通过连续小波变换和其他算法（最大一阶导数法、四点内插法和线性外推法）分别提取其红边位置，系统分析红边位置与叶绿素含量之间的定量关系，以比较用各红边位置算法提取的红边位置在叶片和冠层尺度上对叶绿素含量估测的准确性及稳定性。结果表明：基于连续小波变换提取的红边位置，在叶片和冠层尺度上对叶绿素含量的估测精度较高，稳定性最强，表明连续小波变换方法在提取玉米反射光谱红边位置上是可行的。通过线性外推法提取的红边位置构建的玉米叶片叶绿素含量和四点内插法构建的冠层叶绿素含量定量估测模型的预测效果最佳。本研究为玉米反射光谱红边位置的提取提供了新方法，构建了玉米叶绿素含量在不同观测尺度（叶片、冠层）上最佳的定量估测模型，为玉米氮素营养状况的监测提供了有效途径。
关键词： 玉米;  红边位置;  连续小波变换;  叶绿素;  监测    
Abstract:

This research was based on the combined planting model of corn-soybean strip intercropping and the corns under different nitrogen levels were used as the test materials. The reflectance spectrum and chlorophyll content of leaves and canopies of corns were measured at the jointing stage, tasseling stage and filling stage. Red edge position (REP) was extracted by continuous wavelet transform (CWT) and other algorithms [maximum first derivative method (FD), four-point interpolation method (FPI) and linear extrapolation method (LEM)]. The quantitative relationships between REP and chlorophyll contents were systematically analyzed to compare the accuracy and stability of the REP extracted by each red edge algorithm on the two scales of leaf and canopy. The results showed that, based on the REP-CWT, the estimation accuracy of chlorophyll content was higher on leaf and canopy scales, and the stability was the strongest, which indicated that REP-CWT was feasible in extracting the REP of corn reflectance spectrum. The quantitative estimation models of corn leaf chlorophyll content and canopy chlorophyll content base on REP-LEM and REP-FPI, respectively, were the best. This study provides a new method for extracting the REP of corn reflectance spectrum, and then constructs the best quantitative estimation model of corn chlorophyll content on different observation scales (leaf and canopy), and offers an effective way to monitor the nitrogen nutrition status of corn.
Key words: corn    red edge position    continuous wavelet transform    chlorophyll    monitoring
收稿日期: 2020-10-20 出版日期: 2021-09-02
CLC:  TP 722.4  
基金资助: 国家重点研发计划(2016YFD0300602);成都市科技项目(2020-YF09-00033-SN)
通讯作者: 杨峰     E-mail: 515780979@qq.com;f.yang@sicau.edu.cn
作者简介: 张佳伟（https://orcid.org/0000-0002-0376-3711），E-mail：515780979@qq.com
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引用本文:

张佳伟,王仲林,谭先明,王贝贝,杨文钰,杨峰. 利用不同红边位置算法估测玉米叶绿素含量[J]. 浙江大学学报（农业与生命科学版）, 2021, 47(4): 464-472.

Jiawei ZHANG,Zhonglin WANG,Xianming TAN,Beibei WANG,Wenyu YANG,Feng YANG. Estimation of corn chlorophyll content using different red edge position algorithms. Journal of Zhejiang University (Agriculture and Life Sciences), 2021, 47(4): 464-472.

链接本文:

http://www.zjujournals.com/agr/CN/10.3785/j.issn.1008-9209.2020.10.201    或    http://www.zjujournals.com/agr/CN/Y2021/V47/I4/464

图1  基于连续小波变换提取的玉米红边位置A.原始光谱曲线图（400～1 000 nm）；B.小波系数曲线图（400～1 000 nm）；C.经REP-CWT 3变换后小波系数曲线图（700～760 nm）。

参量

Parameter

样本集分类

Sample set classification

样本数

Number of samples

平均值

Average

最大值

Maximum

最小值

Minimum

标准差

Standard deviation

叶片叶绿素含量

LCC/(mg/g)

建模集 Modeling set2253.9916.9571.0261.685
验证集 Validation set754.0336.9881.1131.687

冠层叶绿素含量

CCC/(g/m2)

建模集 Modeling set1111.3203.7960.1500.969
验证集 Validation set551.2783.4930.1670.938
表1  玉米叶片和冠层叶绿素含量统计
图2  叶片（A）和冠层（B）反射光谱红边位置波长分布统计
图3  不同算法红边位置与玉米叶片叶绿素含量的定量关系
图4  不同算法中红边位置与玉米冠层叶绿素含量的定量关系
图5  不同算法中基于红边位置构建的叶片叶绿素含量实测值与预测值1∶1关系图
图6  不同算法中基于红边位置构建的冠层叶绿素含量实测值与预测值1∶1关系图
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