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Arid Land Geography ›› 2003, Vol. 26 ›› Issue (4): 408-412.doi: 10.13826/j.cnki.cn65-1103/x.2003.04.020

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Estimating of the Total Nitrogen Content (TN) In Cotton Canopy by Using Hyperspectral Remote Sensing Under Water Stress

MA Ya-qin1, BAO An-ming2, WANG Deng-wei1, SUN Li2, HUANG Chun-yan1, FENG Xian-wei2, XIAO Chun-hua1, YANG Xin-jun1   

  1. 1 Research Center of Xinjiang Crop High-Y ield,Shihezi Uuniversity,Shihezi 832003;
    2 Xinjiang institute of Ecology and Geography Chinese Academy of Sciences,Urmqi 830011
  • Received:2003-03-17 Revised:2003-10-14 Online:2003-04-25 Published:2025-12-22

Abstract: Under water stress,this project studied the correlation between leaf chlorophyll content (CHL.C) and leaf total nitrogen (TN) content,and analyzed Red Edge Area and canopy total nitrogen content using first derivative spectral data in cotton main growing periods.As result that there was a high positively correlation between leaf chlorophyll content (CHL.C) and leaf total nitrogen (TN) content,correlation coefficient (r=0.8723∗∗,n=39),the first derivative spectral data deduce Red Edge Area positively correlation with canopy TN content,correlation coefficient (r=0.7394∗∗,n=40).Established mathematic regression models were used to estimate TN content in Xin Luzao No.6and Xin Luzao No.8respectively,the results show that RMSE is0.3859and0.4272.The study imply that leaf chlorophyll content can efficiently estimate leaf TN content, and Red Edge Area had lager applied potential capacity to estimate total nitrogen content in cotton canopy.

Key words: cotton, waters tress, hyperspectral, chlorophyll content, TN content Red Edge Area

CLC Number: 

  • F327