The estimating model of chlorophyll relative content in leaves of winter wheat by remote sensing
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DOI:10.7606/j.issn.1000-7601.2006.05.29
Key Words: TM(Thematic Mapper)  remote sensing  chlorophyll relative content  winter wheat
Author NameAffiliation
WU Su-xia Qinghai Institute of Meteorological Science,Xining 810001,ChinaCenter for Agricultural Resources Research Institute of Genetics and Developmental Biology CAS,Shijiazhuang 050021,China 
FENG Shu-qing Qinghai Institute of Meteorological Science,Xining 810001,China 
MAO Ren-zhao Center for Agricultural Resources Research Institute of Genetics and Developmental Biology CAS,Shijiazhuang 050021,China 
HOU Mei-ting Center for Agricultural Resources Research Institute of Genetics and Developmental Biology CAS,Shijiazhuang 050021,China 
WANG Bo Center for Agricultural Resources Research Institute of Genetics and Developmental Biology CAS,Shijiazhuang 050021,China 
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Abstract:
      Based on the analysis of previous methods of monitoring chlorophyll content,this paper discussed the feasibility of estimating chlorophyll relative content in leaves of winter wheat at different stages by using the TM(Thematic Mapper) images.According to the correlativity between remote sensing variables and measured chlorophyll relative content,the mathematical models were established to estimate chlorophyll relative content at heading and booting stages by remote sensing,which laid a foundation for monitoring the growing state of winter wheat by using remote sensing technology.