A Second Chlorophyll Absorption Continuum Index
- 作者：Xiaohua YangJingfeng HuangWang FuminWang XiuzhenLiu ZhanyuYiqiuxiangWang Yuan
- 会议时间：2006-08-11
- 关键词：Continuum ; Chlorophyll ; Sensitivity ; Prediction Power
- 作者单位：Xiaohua Yang,Jingfeng Huang(Institute of Agricultural Remote Sensing & Information Application,Huajiachi Campus,Zhejiang University,310029 Hangzhou,China;Ministry of Education Key Laboratory of Environmental Remediation and Ecological Health,Zhejiang University,310029 Hangzhou,China)Wang Fumin,Liu Zhanyu(Ministry of Education Key Laboratory of Environmental Remediation and Ecological Health,Zhejiang University,310029 Hangzhou,China)Wang Xiuzhen(Zhejiang Meteorological Institute,Hangzhou 310004,China)Yiqiuxiang,Wang Yuan(Institute of Agricultural Remote Sensing & Information Application,Huajiachi Campus,Zhejiang University,310029 Hangzhou,China)
- 母体文献：2006环境遥感学术年会论文集
- 会议名称：2006环境遥感学术年会
- 会议地点：银川
- 主办单位：中国地理学会
- 语种：chi
- 分类号：S71;S56
摘要
At present,there is an increasing interest in quantitative characterization for vegetation in spatial and temporal scopes with hyperspectral data.Many spectral models and 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 contintium on which the analyses are based on the shape and area of the troughs spanned by spectral continuum.However,different values of CACI were obtained in this method because the 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 Second Chlorophyll Absorption Continuum Index (MCACI) is presented in this article.The REIP replaces the Maximum Reflectance Point (MRP) in Near-Infrared (NIR) shoulder on the continuum of CACI.The REIP is one of the main parameters that can describe the variation characteristics of vegetation.This MCACI has been proved to increase the sensitivity and predictive power of GLCD.