Relationship between canopy reflectance and plant water status of wheat

Abstract

Abstract: The study on the relationship between canopy reflectance characteristics and plant water status of wheat under different soil water and nitrogen levels showed that the water contents of canopy leaf and plant had a significant correlation with the spectral reflectance of 460～510,610～680,1 480～1 500 and 810～870 nm bands at different growth stages and that of 460～1 500 and 560～1 480 nm bands over the whole growth period.The correlation degrees of canopy leaf(CL),upper-layer leaf(UL) and lower-layer leaf (LL) water content with spectral index were in the order of CL>LL>UL.In addition,the water contents of canopy leaf and plant after jointing stage were negatively linearly related to the ratio index R(610,560) and spectral index(R(610,560)/ND(810,610)),but positively correlated with the normalized difference index((R₈₁₀-R₆₁₀)/(R₈₁₀ +R₆₁₀)),indicating that spectral index(R(610,560)/ND(810,610)) could be a good indicator for monitoring water status in wheat plant.

Key words: Wheat, Leaf layer, Leaf water content, Plant water content, Reflectance spectra, Spectral index

CLC Number:

Q945.17

TIAN Yongchao, ZHU Yan, CAO Weixing, DAI Tingbo. Relationship between canopy reflectance and plant water status of wheat[J]. Chinese Journal of Applied Ecology, 2004, (11): 2072-2076.

References

[1] Ceccato P,Flasse S,Gregoire MJ.2002.Designing a spectral index to estimate vegetation water content from remote sensing data Ⅱ.Validation and applications.Remote Sens Environ,82:198～207
[2] Ceccato P,Flasse S,Tarantola S.2001.Detecting vegetation leaf water content using reflectance in the optical domain.Remote Sens Environ,77:22～33
[3] Ceccato P,Nadine G,Stephane F.2002.Designing a spectral index to estimate vegetation water content from remote sensing data Ⅰ.Theoretical approach.Remote Sens Environ,82:188～197
[4] Chen H-L(陈怀亮),Mao L-X(毛留喜),Hong D-Y(冯定原).1999.A review:Theories,methods and development on soil moisture monitoring by remote sensing.Rem Sens Technol Appl(遥感技术与应用),14(2): 55～65(in Chinese)
[5] CROPSCAN Inc.2000.Data Logger Controller,User's Guide and Technical Reference.CROPSCAN Inc.Rochester,MN.
[6] Fernandez S,Vidal D,Simon E.1994.Radiometric characteristics of Triticum aestivum cv.Astral under water and nitrogen stress.Int J Remote Sens,15(9):1867～1884
[7] Hinzman LD,Bauer ME,Daughtry CST.1986.Effects of nitrogen fertilization on growth and reflectance characteristics of winter wheat.Remote Sens Environ,19:47～61
[8] Penuelas J,Filella I,Sirrano L.1996.Cell wall elasticity and water index (R970 nm/ R 900 nm) in wheat under different nitrogen availabilities.Int J Remote sense,17(2):373～382
[9] Penuelas J,Inoue Y.1999.Reflectance indices indicative of changes in water and pigment contents of peanut and wheat leaves.Photosynthetica,36(3):355～360
[10] Penuelas J,Pinol J,Ogaya R.1997.Estimation of plant water concentration by the reflectance water index WI (R900/R970).Int J Remote Sens,18(13):2896～2875
[11] Shen G-R(申广荣),Tian G-L(田国良).2000.Remote sensing monitoring of drought in Huanghe,Huaihe and Haihe plain based on GIS-The calculation of crop water stress index model.Acta Ecol Sin(生态学报),20(2): 224～228(in Chinese)
[12] Tian Q-J(田庆久),Gong P(宫鹏),Zhao C-J(赵春江).2000.The feasibility analysis of diagnosing the water status of wheat by spectral reflectance.Chin Sci Bull(科学通报),45(24):2645～2650 (in Chinese)
[13] Tian QJ,Tong QX,Guo XW.2001.Spectroscopic determination of wheat water status using 1 650～1 850 nm spectral absorption features.Int J Remote Sens,22(12): 2329～2338
[14] Tray MB,James SS,Gray EV.1994.Light reflectance compared with other nitrogen stress measurements in corn leaves.Agron J,86:934～938
[15] Wang J-H(王纪华),Zhao C-J(赵春江),Guo X-W(郭晓维).2001.Study on the water status of the wheat leaves diagnosed by the spectra reflectance.Sci Agric Sin(中国农业科学),34(1):104～107(in Chinese)
[16] Xue L-H(薛利红),Cao W-X(曹卫星),Luo W-H(罗卫红).2003.Diagnosis of nitrogen status in rice leaves with canopy spectral reflectance.Sci Agric Chin(中国农业科学),36(7):807～812