冬小麦冠层叶片氮素营养方向反射光谱的预测  

Prediction of Leave Nitrogen Content of Winter Wheat Canopy Based on Direction Reflection Spectrum

作　　者：肖春华[1] 李少昆[1] 卢艳丽[2] 王克如[1] 高世菊[2] 谢瑞芝[2] 隋学艳[1] 柏军华[2] 

机构地区：[1]新疆兵团绿洲生态农业重点实验室/石河子大学农学院,新疆石河子832003 [2]中国农业科学院作物科学研究所/国家农作物基因资源与基因改良重大科学工程,北京100081

出　　处：《石河子大学学报（自然科学版）》2008年第3期280-285,共6页Journal of Shihezi University(Natural Science)

基　　金：国家高技术研究发展计划(863计划)项目(2006AA10Z207,2006AA10A302);国家自然基金项目(30760109)

摘　　要：以2个小麦品种,4个氮素水平的裂区实验设计,对垂直垄平面上不同观测角度冬小麦冠层光谱与叶片氮素含量的关系进行研究。结果表明,在选择的10种光谱特征参量中,RVI与冠层叶片氮素含量相关性最高,不同角度RVI中,0°观测角的RVI的相关性最显著。对冠层不同角度RVI及叶片氮素进行多种模型拟合,其中0°的GROWTH模型拟合效果最好,建立的0°模型RMSE为0.3402,预测准确率达到90.3%,比180°模型预测精度高23.7%,比90°高5.5%;对2个小麦品种分别建立0°观测角GROWTH模型,普通蛋白型小麦J411模型RMSE为0.2915,反演准确率达到91.64%,ZY9507模型RMSE比J411高31%,预测准确率低3.3%,说明建立的模型更适合普通蛋白含量小麦品种叶片氮素含量检测。We took two winter wheat varieties and four nitrogen quantity experimentation, and studied the relation of bidirection canopy reflected spectrum on vertical wheat row plane and nitrogen content of wheat leaves. The results showed, among seven selected spectrum vegetable indexes, the correlation coefficient of RVI[670,890] and cat apy leaves nitrogen content（CLNC） were significant;that of 0° was highest among different angles.The GROWTH model simulation of 0° was the best among regression models, RMSE of 0° models were 0. 3402, exact ratio of simulation were 90.3 %, were 23.7 % and 5.5 % higher than of 180° and 90°. For two wheat varieties, RMSE of 0° model for J411 was 0. 2915,31% higher than that of ZY9507; exact ratio of simulation was 91.64%, 3.3% lower than that of ZY9507. It is feasible improving the precision of remote sensing measure by different observation angle.

关 键 词：叶片氮素含量 多时相多角度光谱 RVI 生长模型 

分 类 号：S512.11[农业科学—作物学]