小波法反演条锈病胁迫下冬小麦冠层叶片全氮含量

被引：15

作者：

何汝艳

乔小军

蒋金豹

郭会敏

机构：

[1] 中国矿业大学(北京)地球科学与测绘工程学院

来源：

农业工程学报 | 2015年 / 31卷 / 02期

关键词：

支持向量机; 小波变换; 氮; 叶片; 条锈病; 冬小麦;

D O I：

暂无

中图分类号：

S435.121.42 [];

学科分类号：

090401 ; 090402 ;

摘要：

为监测条锈病胁迫下冬小麦的氮素营养状况,该文通过野外试验测量了感染条锈病的冬小麦冠层光谱数据和相应叶片全氮(leaf total nitrogen,LTN)含量,分析了冬小麦条锈病病情指数(disease index,DI)与LTN之间的关系,对冠层光谱进行了连续小波变换(continuous wavelet transform,CWT)处理得到小波系数,并选择一些高光谱指数,分别利用支持向量机(support vector machine,SVM)回归方法构建了小波系数、高光谱指数与冬小麦LTN含量之间的反演模型。研究表明,随着冬小麦DI增大,LTN含量逐渐减小,相关系数为-0.784;CWT处理得到的小波系数为自变量构建的反演冬小麦LTN含量的模型精度普遍高于高光谱指数为自变量的模型精度,其中以Mexican Hat小波函数处理得到的小波系数423(4)建立的反演模型为最优模型,RMSE为0.315,RE为7.62%。因此,该研究表明可以联合应用CWT与SVM方法对条锈病胁迫下冬小麦LTN含量进行反演,且具有较高的估测精度。该研究成果对小麦作物病害预防、指导作物施肥具有重要现实应用意义。

引用

页码：141 / 146

页数：6

共 31 条

[1]

Detecting diurnal and seasonal variation in canopy water content of nut tree orchards from airborne imaging spectroscopy data using continuous wavelet analysis.[J].Tao Cheng;David Riaño;Susan L. Ustin.Remote Sensing of Environment.2014,

[2] Using optimal combination method and in situ hyperspectral measurements to estimate leaf nitrogen concentration in barley [J].

Xu, Xin-gang ;

Zhao, Chun-jiang ;

Wang, Ji-hua ;

Zhang, Jing-cheng ;

Song, Xiao-yu .

PRECISION AGRICULTURE, 2014, 15 (02) :227-240

[3] Comparison of different hyperspectral vegetation indices for canopy leaf nitrogen concentration estimation in rice [J].

Tian, Yong-Chao ;

Gu, Kai-Jian ;

Chu, Xu ;

Yao, Xia ;

Cao, Wei-Xing ;

Zhu, Yan .

PLANT AND SOIL, 2014, 376 (1-2) :193-209

[4]

Comparison between wavelet spectral features and conventional spectral features in detecting yellow rust for winter wheat.[J].Jingcheng Zhang;Lin yuan;Ruiliang Pu;Rebecca W. Loraamm;Guijun Yang;Jihua Wang.Computers and Electronics in Agriculture.2014,

[5]

Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3.[J].J.G.P.W. Clevers;A.A. Gitelson.International Journal of Applied Earth Observations and Geoinformation.2012,

[6] Using Hyperspectral Remote Sensing Data for Retrieving Canopy Chlorophyll and Nitrogen Content [J].

Clevers, Jan G. P. W. ;

Kooistra, Lammert .

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2012, 5 (02) :574-583

[7]

Continuous wavelet analysis for the detection of green attack damage due to mountain pine beetle infestation.[J].T. Cheng;B. Rivard;G.A. Sánchez-Azofeifa;J. Feng;M. Calvo-Polanco.Remote Sensing of Environment.2009, 4

[8] A simple spectral index using reflectance of 735 nm to assess nitrogen status of rice canopy [J].

Lee, Yuh-Jyuan ;

Yang, Chwen-Ming ;

Chang, Kuo-Wei ;

Shen, Yuan .

AGRONOMY JOURNAL, 2008, 100 (01) :205-212

[9]

Monitoring leaf nitrogen status with hyperspectral reflectance in wheat.[J].W. Feng;X. Yao;Y. Zhu;Y.C. Tian;W.X. Cao.European Journal of Agronomy.2007, 3

[10]

Retrieval of chlorophyll concentration from leaf reflectance spectra using wavelet analysis.[J].George Alan Blackburn;Jelle Garke Ferwerda.Remote Sensing of Environment.2007, 4

← 1 2 3 4 →