Estimation of corn chlorophyll content using different red edge position algorithms

doi:10.3785/j.issn.1008-9209.2020.10.201

Journal of Zhejiang University (Agriculture and Life Sciences)

2021, Vol. 47

Issue (4): 464-472 DOI: 10.3785/j.issn.1008-9209.2020.10.201

Special Topic: Crop Phenotyping Technologies and Applications

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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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

Received: 20 October 2020 Published: 02 September 2021

CLC:

TP 722.4

Corresponding Authors: Feng YANG E-mail: 515780979@qq.com;f.yang@sicau.edu.cn

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Cite this article:

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.

URL:

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

利用不同红边位置算法估测玉米叶绿素含量

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

Fig. 1 Extraction of REP of corn based on continuous wavelet transformA. Original spectrum curve (400-1 000 nm); B. Wavelet coefficient curve (400-1 000 nm); C. Wavelet coefficient curve after REP-CWT 3 (700-760 nm).

Table 1 Statistics of leaf and canopy chlorophyll contents of corn

Fig. 2 Statistics of wavelength distribution of REP from leaf (A) and canopy (B) reflectance spectrums

Fig. 3 Quantitative relationships between REP and LCCs of corn under different algorithms

Fig. 4 Quantitative relationships between REP and CCCs of corn under different algorithms

Fig. 5 One to one relationships between the measured and predicted values of LCCs constructed by REP under different algorithms

Fig. 6 One to one relationships between the measured and predicted values of CCCs constructed by REP under different algorithms


[1]	岳学军,全东平,洪添胜,等.柑橘叶片叶绿素含量高光谱无损检测模型.农业工程学报,2015,31(1):294-302. DOI:10.3969/j.issn.1002-6819.2015.01.039 YUE X J, QUAN D P, HONG T S, et al. Non-destructive hyperspectral measurement model of chlorophyll content for citrus leaves. Transactions of the CSAE, 2015,31(1):294-302. (in Chinese with English abstract) doi: 10.3969/j.issn.1002-6819.2015.01.039

[2]	孙雪芳,丁在松,侯海鹏,等.不同春玉米品种花后光合物质生产特点及碳氮含量变化.作物学报,2013,39(7):1284-1292. DOI:10.3724/SP.J.1006.2013.01284 SUN X F, DING Z X, HOU H P, et al. Post-anthesis photosynthetic assimilation and the changes of carbon and nitrogen in different varieties of spring maize. Acta Agronomical Sinica, 2013,39(7):1284-1292. (in Chinese with English abstract) doi: 10.3724/SP.J.1006.2013.01284

[3]	王大成,张东彦,赵晋陵,等.基于红边位置提取验证成像与非成像高光谱数据的一致性.光谱学与光谱分析,2011,31(9):2450-2454. DOI:10.3964/j.issn.1000-0593(2011)09-2450-05 WANG D C, ZHANG D Y, ZHAO J L, et al. Using extraction of red edge position to validate consistency of hyperspectral imaging and non-imaging data. Spectroscopy and Spectral Analysis, 2011,31(9):2450-2454. (in Chinese with English abstract) doi: 10.3964/j.issn.1000-0593(2011)09-2450-05

[4]	贺佳,刘冰峰,郭燕,等.冬小麦生物量高光谱遥感监测模型研究.植物营养与肥料学报,2017,23(2):313-323. DOI:10.11674/zwyy.16173 HE J, LIU B F, GUO Y, et al. Biomass estimation model of winter wheat (Triticum aestivum L.) using hyperspectral reflectances. Journal of Plant Nutrition and Fertilizers, 2017,23(2):313-323. (in Chinese with English abstract) doi: 10.11674/zwyy.16173

[5]	田永超,杨杰,姚霞,等.水稻高光谱红边位置与叶层氮浓度的关系.作物学报,2009,35(9):1681-1690. DOI:10.3724/SP.J.1006.2009.01681 TIAN Y C, YANG J, YAO X, et al. Quantitative relationship between hyper-spectral red edge position and canopy leaf nitrogen concentration in rice. Acta Agronomica Sinica, 2009,35(9):1681-1690. (in Chinese with English abstract) doi: 10.3724/SP.J.1006.2009.01681

[6]	冯伟,朱艳,姚霞,等.利用红边特征参数监测小麦叶片氮素积累状况.农业工程学报,2009,25(11):194-201. DOI:10.3969/j.issn.1002-6819.2009.11.035 FENG W, ZHU Y, YAO X, et al. Monitoring nitrogen accumulation in wheat leaf with red edge characteristic parameters. Transactions of the CSAE, 2009,25(11):194-201. (in Chinese with English abstract) doi: 10.3969/j.issn.1002-6819.2009.11.035

[7]	薛利红,杨林章.采用不同红边位置提取技术估测蔬菜叶绿素含量的比较研究.农业工程学报,2008,24(9):165-169. XUE L H, YANG L Z. Comparative study on estimation of chlorophyll content in spinach leaves using various red edge position extraction techniques. Transactions of the CSAE, 2008,24(9):165-169. (in Chinese with English abstract)

[8]	高兴,李斐,杨海波,等.基于红边位置的马铃薯植株氮浓度估测方法研究.植物营养与肥料学报,2019,25(2):296-310. DOI:10.11674/zwyf.18058 GAO X, LI F, YANG H B, et al. Appropriate calculation method for the use of red edge position to estimate potato nitrogen concentration. Journal of Plant Nutrition and Fertilizer, 2019,25(2):296-310. (in Chinese with English abstract) doi: 10.11674/zwyf.18058

[9]	冯伟,朱艳,姚霞,等.小麦叶片色素含量的高光谱监测.应用生态学报,2008,19(5):992-999. FENG W, ZHU Y, YAO X, et al. Monitoring of wheat leaf pigment concentration with hyper-spectral remote sensing. Chinese Journal of Applied Ecology, 2008,19(5):992-999. (in Chinese with English abstract)

[10]	张清林,陈文惠,张永贺,等.基于红边位置的台湾相思树叶片叶绿素含量估测模型研究.亚热带资源与环境学报,2011,6(3):9-17. DOI:10.3969/j.issn.1673-7105.2011.03.003 ZHANG Q L, CHEN W H, ZHANG Y H, et al. Estimation models of chlorophyll contents in leaves of Acacia Confusa based on the red edge position. Journal of Subtropical Resources and Environment, 2011,6(3):9-17. (in Chinese with English abstract) doi: 10.3969/j.issn.1673-7105.2011.03.003

[11]	郝瑞娟,王周锋,王文科,等.CO2胁迫下大豆叶片红边位置最优算法的研究.大气与环境光学学报,2016,11(1):51-59. DOI:10.3969/j.issn.1673-6141.2016.01.007 HAO R J, WANG Z F, WANG W K, et al. Optimal algorithm of red edge position for soybean leaf under CO2 stress. Journal of Atmospheric and Environmental Optics, 2016,11(1):51-59. (in Chinese with English abstract) doi: 10.3969/j.issn.1673-6141.2016.01.007

[12]	CHO M A, SKIDMORE A K. A new technique for extracting the red edge position from hyperspectral data: the linear extrapolation method. Remote Sensing of Environment, 2006,101(2):181-193. DOI:10.1016/j.rse.2005.12.011 doi: 10.1016/j.rse.2005.12.011

[13]	程高峰,李秉柏,李萍萍,等.作物红边位置算法评述.江苏农业科学,2009(2):12-14. DOI:10.3969/j.issn.1002-1302.2009.02.004 CHENG G F, LI B B, LI P P, et al. Review on the crop red edge position algorithms. Jiangsu Agricultural Sciences, 2009(2):12-14. (in Chinese) doi: 10.3969/j.issn.1002-1302.2009.02.004

[14]	LI D, CHENG T, ZHOU K, et al. WREP: a wavelet-based technique for extracting the red edge position from reflectance spectra for estimating leaf and canopy chlorophyll contents of cereal crops. ISPRS Journal of Photogrammetry and Remote Sensing, 2017,129:103-117. DOI:10.1016/j.isprsjprs.2017.04.024 doi: 10.1016/j.isprsjprs.2017.04.024

[15]	陈建勋,王晓峰.植物生理学实验指导.广州:华南理工大学出版社,2006. CHEN J X, WANG X F. Experimental Guidance of Plant Physiology. Guangzhou: South China University of Technology Press, 2006.

[16]	贾彪,付江鹏.基于叶面积指数构建滴灌玉米营养生长期临界氮稀释曲线.农业工程学报,2020,36(6):66-73. DOI:10.11975/j.issn.1002-6819.2020.06.008 JIA B, FU J P. Critical nitrogen dilution curve of drip-irrigated maize at vegetative growth stage based on leaf area index. Transactions of the CSAE, 2020,36(6):66-73. (in Chinese with English abstract) doi: 10.11975/j.issn.1002-6819.2020.06.008

[17]	郭洋洋,张连蓬,王德高,等.小波分析在植物叶绿素高光谱遥感反演中的应用.测绘通报,2010(8):31-33, 53. GUO Y Y, ZHANG L P, WANG D G, et al. Application of wavelet analysis for determining chlorophyll concentration in vegetation by hyperspectral reflectance. Bulletin of Surveying and Mapping, 2010(8):31-33, 53. (in Chinese)

[18]	刘丹丹,聂荣娟,许晓斌.基于连续小波变换和RF算法的夏玉米氮素估算模型.大麦与谷类科学,2019,36(2):42-46. DOI:10.14069/j.cnki.32-1769/s.2019.02.010 LIU D D, NIE R J, XU X B. A model of estimating nitrogen levels in summer corn based on continuous wavelet transform and RF algorithm. Barley and Cereal Sciences, 2019,36(2):42-46. (in Chinese with English abstract) doi: 10.14069/j.cnki.32-1769/s.2019.02.010

[19]	周龙飞,顾晓鹤,成枢,等.倒伏胁迫下玉米抽雄期叶面积密度光谱诊断.中国农业科学,2019,52(9):1518-1528. DOI:10.3864/j.issn.0578-1752.2019.09.004 ZHOU L F, GU X H, CHENG S, et al. Spectral diagnosis of leaf area density of maize at heading stage under lodging stress. Scientia Agricultura Sinica, 2019,52(9):1518-1528. (in Chinese with English abstract) doi: 10.3864/j.issn.0578-1752.2019.09.004

[20]	LI L T, REN T, MA Y, et al. Evaluating chlorophyll density in winter oilseed rape (Brassica napus L.) using canopy hyperspectral red-edge parameters. Computers and Electronics in Agriculture, 2016,126:21-31. DOI:10.1016/j.compag.2016.05.008 doi: 10.1016/j.compag.2016.05.008

[21]	丁永军,张晶晶,李修华,等.基于光谱红边位置提取算法的番茄叶片叶绿素含量估测.农业机械学报,2016,47(3):292-297, 318. DOI:10.6041/j.issn.1000-1298.2016.03.041 DING Y J, ZHANG J J, LI X H, et al. Estimation of chlorophyll content in tomato leaf using spectrum red edge position extraction algorithm. Transactions of the Chinese Society for Agricultural Machinery, 2016,47(3):292-297, 318. (in Chinese with English abstract) doi: 10.6041/j.issn.1000-1298.2016.03.041

[22]	LIAO Q H, WANG J H, YANG G J, et al. Comparison of spectral indices and wavelet transform for estimating chlorophyll content of maize from hyperspectral reflectance. Journal of Applied Remote Sensing, 2013,7(1):073575. DOI:10.1117/1.JRS.7.073575 doi: 10.1117/1.JRS.7.073575

[23]	杨荣超,田海清,李斐,等.基于甜菜冠层高光谱红边参数的SPAD值诊断.江苏农业科学,2017,45(11):153-156. DOI:10.15889/j.issn.1002-1302.2017.11.042 YANG R C, TIAN H Q, LI F, et al. Diagnosis of SPAD value based on red edge parameters of sugarbeet canopy hyperspectra. Jiangsu Agricultural Sciences, 2017,45(11):153-156. (in Chinese) doi: 10.15889/j.issn.1002-1302.2017.11.042

[24]	DAS P K, CHOUDHARY K K, LAXMAN B, et al. A modified linear extrapolation approach towards red edge position detection and stress monitoring of wheat crop using hyperspectral data. International Journal of Remote Sensing, 2014,35(3/4):1432-1449. DOI:10.1080/01431161.2013.877616 doi: 10.1080/01431161.2013.877616

[25]	LI L, USTIN S L, LAY M. Application of AVIRIS data in detection of oil-induced vegetation stress and cover change at Jornada, New Mexico. Remote Sensing of Environment, 2005,94(1):1-16. DOI:10.1016/j.rse.2004.08.010 doi: 10.1016/j.rse.2004.08.010

[26]	PU R L, GONG P, BIGING G S, et al. Extraction of red edge optical parameters from Hyperion data for estimation of forest leaf area index. IEEE Transactions on Geoscience and Remote Sensing, 2003,41(4):916-921. DOI:10.1109/TGRS.2003.813555 doi: 10.1109/TGRS.2003.813555

[27]	CHENG T, RIA?O D, USTIN S L. Detecting diurnal and seasonal variation in canopy water content of nut tree orchards from airborne imaging spectroscopy data using continuous wavelet analysis. Remote Sensing of Environment, 2014,143:39-53. DOI:10.1016/j.rse.2013.11.018 doi: 10.1016/j.rse.2013.11.018

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