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Remote Sensing Technology and Application  2005, Vol. 20 Issue (4): 315-3620    DOI: 10.11873/j.issn.1004-0323.2005.4.315
article     
Study oo the Model Development for Estimating the Total N Contentin Cotton Leaves and Canopies under Water Stress by Using Hyperspectral Remote Sensing
SUN Li1, CHEN Xi1, BO An-ming1,FENG Xian-wei1,MA Ya-qin2, WANG Deng-wei2
(1.Xinjiang institute of Ecology and Geography Chinese Academy of Sciences,Urmqi830011,China;2.Research Center of Xinjiang Croup High-Yield,Shihezi University,Shihezi832003,China)
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Abstract  

In this paper, the hyperspectral data of cotton canopies grown in north Xinjiang at the main growing stage under water stress are derived by using an ASD spectrocoparator made in USA, the rededge integral areas are used to estimate the total N content in leaves of cotton canopies, and the analyzing method based on the spectral position variables is derived from the first differential spectral data. An analysis on the correlation between the red-edge integral areas (used as the independent variables) and the total N contents in leaves of cotton canopies (used as functions) is carried out so as to develop a mathematical model about the correlation between the red-edge integral areas and the total N contents in canopy leaves of cotton variety of Xin Luzao No.6. The correlations between the chlorophyll contents and the total N contents in separate leaves of cotton canopies under the different irrigation water volumes are researched. The results show that there is a significant positive correlation between the chlorophyll content and the total N content in leaves of cotton canopies (R=0.8723, n=39), and the data of chlorophyll contents can be used to effectively estimate the total N content in separate cotton leaves; there is also a significant correlation between the red-edge integral areas and the total N contents in leaves of cotton canopies,and the correlation coefficient is 0.7394 (n=40). The total N contents in canopy leaves of cotton varieties of Xin Luzao No. 6 and No.8 can be accurately estimated by using the developed model, and the values of RMSE are 0.3859 and 0.4272 respectively. It is considered that there is a potentiality to use the variables of red-edge integral areas for predicting the total N contents in leaves of cotton canopies, and it is also feasible that the data of displacement and change of red-edge extent can be used to recognize the moisture stress of cotton plants if a rational recognition system is develop. The conclusions of the study are as follows: (1) The physiological and biochemical properties of both cotton leaves and canopies are changed with cotton growth; (2) There is a significant correlation between the chlorophyll content and total N contents in cotton leaves (R=0.8723, n=38), and the total N contents in cotton leaves can be estimated by a mathematical model; (3) The analyzing method based on the variables of spectral position of "red edge" of cotton leaves, derived from the first differential spectral data, reveals that the change extent, shape and area of the "red edge" contain the information of various wavebands, and the capability of predicting Nnutrient in cotton leaves and canopies can be provided by using the developed model based on the variables from these wavebands; (4) It is reveals that the moisture supply is sufficient, the N metabolizing in cotton plants is hearty, the cotton plants grow luxuriantly, and the red edge of cotton leaves shifts towards blue light if the chlorophyll content in cotton leaves is high. It is feasible that the data of displacement and change of red-edge extent can be used to recognize the moisture stress of cotton plants if a rational recog-
nition system is develop.

Key words:  Cotton      Waters stress      Hyperspectrum      Chlorophyll content      Total N content      Red-edge      Cotton      Waters stress      Hyperspectrum      Chlorophyll content      Total N content      Red-edge     
Received:  20 October 2004      Published:  27 October 2011
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SUN Li, CHEN Xi, BO An-ming,FENG Xian-wei,MA Ya-qin, WANG Deng-wei. Study oo the Model Development for Estimating the Total N Contentin Cotton Leaves and Canopies under Water Stress by Using Hyperspectral Remote Sensing. Remote Sensing Technology and Application, 2005, 20(4): 315-3620.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2005.4.315     OR     http://www.rsta.ac.cn/EN/Y2005/V20/I4/315

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