%0 Journal Article %T Monitoring leaf nitrogen accumulation with hyper-spectral remote sensing in wheat
基于高光谱遥感的小麦叶片氮积累量 %A FENG Wei %A ZHU Yan %A TIAN Yong-Chao %A CAO Wei-Xing %A YAO Xia %A LI Ying-Xue %A
冯伟 %A 朱艳 %A 田永超 %A 曹卫星 %A 姚霞 %A 李映雪 %J 生态学报 %D 2008 %I %X Crop nitrogen status is a key indicator for evaluating crop growth,increasing yield and improving grain quality.Non-destructive and rapid assessment of leaf nitrogen is required for improving nitrogen management in wheat production.This study aims at identification of the quantitative relationship between leaf nitrogen accumulation and canopy reflectance spectra in winter wheat(Triticum aestivum L.) using three field experiments with different wheat varieties and nitrogen levels.Results showed that leaf nitrogen accumulation in wheat increased with increasing nitrogen rates.Canopy reflectance changed with increasing leaf nitrogen accumulation.Sensitivity bands occurred mainly during visible light and near infra-red,and strong correlation existed between red light and leaf nitrogen accumulation.The relationships of eight vegetation indicators and leaf nitrogen accumulation were analyzed using statistical models.Hyper-spectral variables were significantly correlated with leaf nitrogen accumulation,and the relationships of leaf nitrogen accumulation to SDr/SDb,FD742 and AVHRR-GVI were all highly significant with determination of coefficients(R2) as 0.9163,0.9097 and 0.9142,respectively,and standard errors(SE) as 1.165,1.079 and 1.077,respectively.Tests with another independent dataset showed that FD742 and REPIG could well predict leaf nitrogen accumulation in wheat with an R2 of 0.8449 and 0.8394,and root mean square error(RMSE) of 0.984 and 1.014,respectively.This suggests that FD742 and REPIG can be used to estimate leaf nitrogen accumulation,of which FD742 performed best in modeling and testing. %K winter wheat %K hyper-spectral remote sensing %K leaf nitrogen accumulation %K monitoring model
小麦 %K 高光谱遥感 %K 叶片氮积累量 %K 监测模型 %K 光谱遥感 %K 小麦 %K 叶片氮积累量 %K wheat %K remote %K sensing %K accumulation %K nitrogen %K leaf %K 积累状况 %K 氮素 %K 条件 %K 评估 %K 变量 %K 比较 %K 观察值 %K 预测值 %K 红边位置 %K RMSE %K 精度 %K 估测 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=FE163E5DB2274E5937319DE98913EC37&aid=F86746DE0980A138EA47FC5A743612F8&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=CA4FD0336C81A37A&sid=81873594E3655137&eid=6B2231C8AAD78843A8D75220882C1596&journal_id=1000-0933&journal_name=生态学报&referenced_num=0&reference_num=33