Scientia Agricultura Sinica ›› 2019, Vol. 52 ›› Issue (14): 2425-2435.doi: 10.3864/j.issn.0578-1752.2019.14.004

• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY·AGRICULTURE INFORMATION TECHNOLOGY • Previous Articles     Next Articles

Spectral Response Analysis of Canopy Water Content of Winter Wheat Under Different Irrigation Conditions

SUN Qian1,2,3,GU XiaoHe1,2(),SUN Lin3,WANG Miao4,ZHOU LongFei1,2,3,YANG GuiJun1,2,LI WeiGuo5,SHU MeiYan1,2,3   

  1. 1National Engineering Research Center for Information Technology in Agriculture, Beijing 100097
    2Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture/Beijing Research Center for Information Technology in Agriculture, Beijing 100097
    3College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, Shandong
    4Hebei Agricultural Technology Extension General Station, Shijiazhuang 050011
    5Institute of Agricultural Information, Jiangsu Academy of Agricultural Sciences, Nanjing 210014
  • Received:2019-03-05 Accepted:2019-03-29 Online:2019-07-16 Published:2019-07-26
  • Contact: XiaoHe GU E-mail:guxh@nercita.org.cn

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Abstract:

【Objective】 Rapid and non-destructive diagnosis of canopy water content is of great significance for monitoring winter wheat growth, drought assessment and variable irrigation. The response of canopy spectrum to canopy water content under different irrigation treatments was analyzed in this study.【Method】Based on field variable irrigation experiments, the influence of growth stage and irrigation water on canopy water content of winter wheat were analyzed. The response rule of canopy spectrum to canopy water content under different irrigation treatments was explained. The canopy equivalent water thickness (EWTc) was used as the characterization index. Based on continuous wavelet transform (CWT), a spectral diagnostic model of EWTc of winter wheat was constructed. The accuracy of the model was verified by independent samples. 【Result】 The results showed that the EWTc of winter wheat increased with the increase of irrigation water in the later growth stage, and decreased with the advance of growth process. The canopy spectral reflectance of winter wheat decreased with the progress of the growth process. The canopy spectral reflectance of winter wheat at different irrigation treatments in near infrared and mid-infrared bands were as follows: 1 water > 0.5 water > 0 water. Compared with the original canopy spectral reflectance, the correlation between wavelet coefficients after continuous wavelet transform and EWTc was improved in different degrees at the decomposition scales of 1, 2, 3, 5, 6 and 7. In addition, the increase ranged from 8.40% to 26.20%. The spectral diagnostic model of canopy equivalent water thickness constructed at 2 400 nm in scale 6, 1 596 nm in scale 2, and 2 397 nm in scale 7 was better in stability and accuracy. The verification sample determined the coefficient R 2=0.5411, and RMSE=0.0127 cm.【Conclusion】The canopy water content of winter wheat changed regularly with irrigation time and irrigation amount, and showed obvious spectral response characteristics in the water sensitive band. Continuous wavelet transform technology could effectively improve the correlation between canopy spectral parameters and canopy equivalent water thickness. The spectral diagnosis of canopy water content of winter wheat was realized. It could provide technical support for variable irrigation decision-making in winter wheat field.

Key words: winter wheat, EWTc, LAI, irrigation, CWT, canopy spectrum

Fig. 1

Schematic diagram of experimental plot"

Table 1

The date of irrigation and data collection (M-D)"

生育期
Growth stage		 灌溉日期
Irrigation date		 田间取样时间
Field sampling time		 光谱和LAI测定时间
Spectral and LAI measurement time
孕穗期 Booting stage 04-17 04-24 04-24
扬花期 Flowering stage 04-27 05-04 05-04

Fig. 2

Changes of EWTc in winter wheat"

Fig. 3

Changes of spectra in winter wheat canopy"

Fig. 4

Changes of soil spectra with different water contents"

Fig. 5

Correlation coefficient between original spectral reflectance and EWTc"

Fig. 6

Correlation coefficient between wavelet energy coefficient and EWTc at different decomposition scales"

Fig. 7

Absolute value of correlation coefficient between wavelet energy coefficient and EWTc"

Table 2

Maximum absolute value of correlation coefficients of original spectra and wavelet coefficients with EWTc"

分解尺度
Decomposition scale		 ∣R∣最大值
Maximum absolute value of R		 波长
Wavelength (nm)		 提高幅度
Increase range (%)
原始光谱
Original spectra		 0.5167 1946 —
1 0.6521 1222 26.2048
2 0.6353 1596 22.9534
3 0.5601 1595 8.3995
4 0.5064 734 -1.9934
5 0.5727 2418 10.8380
6 0.6355 2400 22.9921
7 0.6004 2397 16.1990
8 0.4664 1316 -9.7349
9 0.4508 474 -12.7540
10 0.2736 2345 -47.0486

Fig. 8

Scatter plot of predicted and measured values of EWTc"

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