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A modified chlorophyll absorption continuum index for chlorophyll estimation
作者姓名:YANG  Xiao-hua  HUANG  Jing-feng  WANG  Fu-min  WANG  Xiu-zhen  YI  Qiu-xiang  WANG  Yuan
作者单位:[1]Institute of Agricultural Remote Sensing & Information Application, Zhejiang University, Hangzhou 310029. China [2]Zhejiang Meteorological Institute. Hangzhou 310004, China
基金项目:Project (Nos. 40571115 and 40271078) supported by the National Natural Science Foundation of China
摘    要:There is increasing interest in using hyperspectral data for quantitative characterization of vegetation in spatial and temporal scopes. Many spectral indices are being developed to improve vegetation sensitivity by minimizing the background influence. The chlorophyll absorption continuum index (CACI) is such a measure to calculate the spectral continuum on which the analyses are based on the area of the troughs spanned by the spectral continuum, However, different values of CACI were obtained in this method because different positions of continuums were determined by different users. Furthermore, the sensitivity of CACI to agronomic parameters such as green leaf chlorophyll density (GLCD) has been reduced because the fixed positions of continuums are determined when the red edge shifted with the change in GLCD. A modified chlorophyll absorption continuum index (MCACI) is presented in this article. The red edge inflection point (REIP) replaces the maximum reflectance point (MRP) in near-infrared (NIR) shoulder on the CACI continuum. This MCACI has been proved to increase the sensitivity and predictive power of GLCD.

关 键 词:连续介质  叶绿素  敏感性  预测功率
收稿时间:2006-04-01
修稿时间:2006-08-05

A modified chlorophyll absorption continuum index for chlorophyll estimation
YANG Xiao-hua HUANG Jing-feng WANG Fu-min WANG Xiu-zhen YI Qiu-xiang WANG Yuan.A modified chlorophyll absorption continuum index for chlorophyll estimation[J].Journal of Zhejiang University Science,2006,7(12):2002-2006.
Authors:Xiao-hua Yang  Jing-feng Huang  Fu-min Wang  Xiu-zhen Wang  Qiu-xiang Yi  Yuan Wang
Institution:(1) Institute of Agricultural Remote Sensing & Information Application, Zhejiang University, Hangzhou, 310029, China;(2) Zhejiang Meteorological Institute, Hangzhou, 310004, China
Abstract:There is increasing interest in using hyperspectral data for quantitative characterization of vegetation in spatial and temporal scopes. Many spectral indices are being developed to improve vegetation sensitivity by minimizing the background influence. The chlorophyll absorption continuum index (CACI) is such a measure to calculate the spectral continuum on which the analyses are based on the area of the troughs spanned by the spectral continuum. However, different values of CACI were obtained in this method because different positions of continuums were determined by different users. Furthermore, the sensitivity of CACI to agronomic parameters such as green leaf chlorophyll density (GLCD) has been reduced because the fixed positions of continuums are determined when the red edge shifted with the change in GLCD. A modified chlorophyll absorption continuum index (MCACI) is presented in this article. The red edge inflection point (REIP) replaces the maximum reflectance point (MRP) in near-infrared (NIR) shoulder on the CACI continuum. This MCACI has been proved to increase the sensitivity and predictive power of GLCD. Project (Nos. 40571115 and 40271078) supported by the National Natural Science Foundation of China
Keywords:Continuum  Chlorophyll  Sensitivity  Prediction power
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