%0 Journal Article
%T The Inversion of Leaf Biochemical Components and Grain Quality Indicators of Winter Wheat with Spectral Reflectance<br>利用光谱反射率估算叶片生化组分和籽粒品质指标研究
%A WANG Ji-hu
%A HUANG Wen-jiang
%A ZHAO Chun-jiang
%A YANG Min-hua
%A WANG Zhi-jie
%A <br>王纪华
%A 黄文江
%A 赵春江
%A 杨敏华
%A 王之杰
%J 遥感学报
%D 2003
%I 
%X The field spectra reflectance data selected at key growth stages of winter wheat were analyzed. It indicated that the wavelength bands related to leaf nitrogen content selected by regression equation located at 820-1100nm and 1150-1300nm. The proper spectrum reflectance form should be established for donating the spectrum reflectance and leaf nitrogen content at different growth stages. The proper forms were as following: the regression equation of derivative form at reviving stage, and the reciprocal form at booting stage and the basic form at ripening stage. The results showed that there were robust correlations between leaf nitrogen content and other leaf biochemical constituents, dried biomass indicators and grain quality indicators. The regression equations between leaf nitrogen content and other leaf biochemical constituents, dried biomass indicators and grain quality indicators were established. The predictions of soluble sugar content, leaf water content, stem water content, leaf starch content, leaf dried weight, plant dried weight, and LAI etc. by leaf nitrogen content were feasible. It has very significant level among grain protein, dry gluten content and leaf nitrogen content at anthesis stage, and no significant correlation of leaf nitrogen content and other grain quality indicators. So it is feasible for forecasting the grain protein and dry gluten content by leaf nitrogen content data acquired by remote sensing.
%K hyperspectral data
%K leaf nitrogen content
%K biochemical component
%K grain quality<br>光谱反射率
%K 冬小麦
%K 叶片含氮量
%K 生化组分
%K 估算
%K 籽粒品质指标
%K 品质监测
%K 遥感监测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=46E75C7154B8522ED9233CA48D8E9F74&yid=D43C4A19B2EE3C0A&vid=DF92D298D3FF1E6E&iid=38B194292C032A66&sid=CAA7BAE04CB631A1&eid=03E56C113B4E5A88&journal_id=1007-4619&journal_name=遥感学报&referenced_num=1&reference_num=0