%0 Journal Article
%T Relationships between Rice LAI, CH.D and Hyperspectra Data<br>高光谱数据与水稻叶面积指数及叶绿素密度的相关分析
%A LIU Wei-dong
%A XIANG Yue-qin
%A ZHENG Lan-fen
%A TONG Qing-xi
%A WU Chang-shan
%A <br>刘伟东
%A 项月琴
%A 郑兰芬
%A 童庆禧
%A 吴长山
%J 遥感学报
%D 2000
%I 
%X The paper studied the variational process of leaf area index (LAI), leaf chl orophyll density (CH.D) and Hyperspectral data with growing period. The correla tion between the hyperspectral data and LAI, CH.D of rice was also analyzed. Sp ectral derivative technique was used to suppress the effects of low frequency sp ectral noises on background (such as Soil and so on). The derivatives of relfect ance spectrum can enhance the correlation and improve the precision of predictin g LAI and CH.D. Results show that the derivatives of reflectance spectrum and CH .D more markedly correlate with LAI at some wavelength; CH.D is more av ailable to express crop canopy spectral information than LAI.
%K spectral derivatives
%K LAI
%K CH
%K D
%K regression analysis<br>光谱微分技术
%K 叶面积指数
%K 叶绿素密度
%K 相关分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=1AD530DCAC1C64E601AE97C97E4D9D79&yid=9806D0D4EAA9BED3&vid=E158A972A605785F&iid=E158A972A605785F&sid=69E4C201C13601F9&eid=E2B9962CCD971A0D&journal_id=1007-4619&journal_name=遥感学报&referenced_num=44&reference_num=0