%0 Journal Article
%T Quantitative relationships between leaf total nitrogen concentration and canopy reflectance spectra of rice.<br>水稻叶片全氮浓度与冠层反射光谱的定量关系
%A ZHOU Dong-qin
%A TIAN Yong-chao
%A YAO Xia
%A ZHU Yan
%A CAO Wei-xing
%A <br>周冬琴
%A 田永超
%A 姚霞
%A 朱艳
%A 曹卫星
%J 应用生态学报
%D 2008
%I 
%X By the method of statistics, this paper approached the quantitative relationships between leaf total nitrogen concentration (LNC) and canopy reflectance spectra of rice, based on the data from 5-year field experiments involving different varieties and nitrogen fertilization rates. The results showed that the LNC had higher correlations with the key spectral parameters of two bands than of single band. The relative, differential, and normalized difference vegetation indices (RVI, DVI, NDVI) of the bands in near infrared (760-1,220 nm) and visible light 510 nm, 560 nm, 680 nm and 710 nm all showed significantly positive correlations to LNC, and NDVI showed the best. All the parameters having significant correlations with LNC were selected to compare the R2 and SE in the regression equations with LNC, which confirmed that the NDVI of R1220 and R710 was the best parameter for predicting the LNC. The quantitative equation LNC = 3.2708 x NDVI (1220, 710) + 0.8654 was tested by the data from other three field experiments with different rice cultivars, water conditions and nitrogen fertilization rates, and the estimated R2, slope, and RMSE were ranged in 0.674-0.862, 0.908-1.010 and 11.315%-19.491%, respectively, indicating a good fit between the predicted and observed values of LNCs, which suggested that this model was feasible for predicting the LNC of rice under different cultivation conditions.
%K rice
%K canopy reflectance spectra
%K leaf total nitrogen concentration
%K monitoring model<br>水稻
%K 冠层反射光谱
%K 片全氮浓度
%K 监测模型
%K 水稻
%K 叶片全
%K 氮浓度
%K 冠层反射光谱
%K 定量关系
%K rice
%K spectra
%K reflectance
%K canopy
%K nitrogen
%K concentration
%K total
%K leaf
%K relationships
%K 预测性
%K 不同栽培条件
%K 符合度
%K 模型
%K 实测值
%K 预测值
%K RMSE
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=42FEDDFE54F8BCD9D5FD1926ABDD7722&aid=19EC1B1E440B6A87118153FF47E32D5B&yid=67289AFF6305E306&vid=2A8D03AD8076A2E3&iid=0B39A22176CE99FB&sid=5FF9F4F7CB1800C7&eid=A04F01817ECB9A48&journal_id=1001-9332&journal_name=应用生态学报&referenced_num=2&reference_num=32