农业现代化研究2017，Vol.38Issue(2)：315-321,7.DOI:10.13872/j.1000-0275.2017.0018
生姜叶片氮含量的高光谱遥感估算模型研究
Research on hyperspectral remote sensing estimation model for leaf nitrogen content in ginger
摘要
Abstract
Rapid estimation leaf nitrogen content in crops has important significance for knowing crop growth, monitoring diseases and insect pests, and evaluating crop yield. In this study, the hyperspectral data and leaf nitrogen content in gingers for different varieties, growth stages, and nitrogen fertilizer gradients were obtained from April to September in 2015. The estimation results of leaf nitrogen content in gingers were comparatively analyzed by using the combination of vegetation index, normalized differential vegetation index, and ratio vegetation index. The sensitive wavebands for estimating leaf nitrogen content in gingers were selected. The NDSI(754, 713) and RSI(754, 713) as two new spectral indexes were constructed by using waveband combination algorithm. The results showed that MCARI(705, 750)/OSAVI(705, 750) had the best effect for estimating the leaf nitrogen content in gingers in all the selected vegetation indexes, theR2, RMSE and RE were 0.73, 0.27 and 11.64%, respectively. The NDSI(754, 713) constructed by waveband combination algorithm had the better effect than the MCARI(705, 750)/OSAVI(705, 750) for estimating the leaf nitrogen content in gingers, with theR2 of its estimation accuracy being 0.83. The 713 nm and 754 nm as two sensitive wavebands were both in the vegetation red-edge region. The measured and predicted values of leaf nitrogen content in gingers had a good consistency through the model validation. TheR2, RMSE and RE of calibration set were 0.78, 0.20 and 9.81%, respectively. Based on the analysis mentioned above, it can provide technical support for the agricultural administrative department to learn the growth of gingers quickly and make a suitable fertilization strategy.关键词
生姜/叶片氮含量/高光谱数据/光谱指数/波段组合Key words
ginger/leaf nitrogen content/hyperspectral data/spectral index/combination of wavebands分类
农业科技引用本文复制引用
廖钦洪,李会合,张琴..生姜叶片氮含量的高光谱遥感估算模型研究[J].农业现代化研究,2017,38(2):315-321,7.基金项目
国家自然科学基金项目(41401419) （41401419）
重庆市教委科学技术研究项目(KJ1501123) （KJ1501123）
重庆文理学院学生科研项目(XSKY2016089).National Natural Science Foundation of China (41401419) （XSKY2016089）
Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJ1501123) （KJ1501123）
Student Research Project of Chongqing Academy of Arts and Sciences (XSKY2016089). （XSKY2016089）
