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Identification and Characterization of Spectral Response Properties of Rice Canopy Infested by Leaf Folder

文献类型: 外文期刊

作者: Zhao, Jin-Ling 1 ; Zhao, Chun-Jiang 1 ; Yang, Hao 1 ; Zhang, Dong-Yan 1 ; Dong, Ying-Ying 1 ; Yuan, Lin 1 ;

作者机构: 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

关键词: Field hyperspectral data;Hyperspectral insect index;Infestation levels;Rice leaf folder

期刊名称:INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGY ( 影响因子:0.822; 五年影响因子:0.906 )

ISSN: 1560-8530

年卷期: 2013 年 15 卷 4 期

页码:

收录情况: SCI

摘要: As one of the most fatal insect pests, rice leaf folder [Cnaphalocrocis medinalis Guenee] reduces grain yield by folding the leaves and scraping the leaves' green tissues. This study aimed to identify and characterize such an insect using the ground-based hyperspectral data taken with a portable ASD (Analytical Spectral Devices, Inc.) spectrometer. After performing reflectance conversion and spectral-curve smoothing, the spectral response properties were firstly analyzed and compared concerning different infestation levels. Afterwards, the correlation analysis was conducted to optimally select characteristic bands sensitive to infestation severities according to the correlation coefficients (r), and three bands located at 424 nm (r=-0.802), 758 nm (r=-0.916), and 1141 nm (r=-0.895) were specifically chosen. Finally, a hyperspectral insect index of rice leaf folder (HIIRLF) was constructed using the reflectance values and corresponding weight coefficients in accordance with the contribution in spectral change rates of three bands. The results showed that there was a significant negative correlation between infestation levels and reflectance values. The HIIRLF was effective to identify the rice leaf folder, with a coefficient of determination (R-2) of 0.827 (n=18). Specifically, near-infrared spectra (692-1349 nm) were the best selection to differentiate infestation levels and the in situ hyperspectral data provided a better solution for non-destructively estimating the relative infestation levels of rice canopies caused by leaf folder. (C) 2013 Friends Science Publishers

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