Monitoring Stripe Rust of Winter Wheat Using PHI Based on Sensitive Bands

被引：3

作者：

Luo Ju-hua ^{[1
,2
]}

Huang Wen-jiang ^{[1
]}

Gu Xiao-he ^{[1
]}

Ji Ning ^{[1
]}

Ma Li ^{[1
]}

Song Xiao-yu ^{[1
]}

Li Wei-guo ^{[1
]}

Wei Zhao-ling ^{[2
]}

机构：

[1] Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

[2] Anhui Agr Univ, Resources & Environm Coll, Hefei 230036, Peoples R China

来源：

SPECTROSCOPY AND SPECTRAL ANALYSIS | 2010年 / 30卷 / 01期

关键词：

Pushbroom imaging spectrometer (PHI); Sensitive bands; Stripe rust; Disease indexes; LEAVES;

D O I：

10.3964/j.issn.1000-0593(2010)01-0184-04

中图分类号：

O433 [光谱学];

学科分类号：

0703 ; 070302 ;

摘要：

Forty six points representing different severity degree of stripe rust were established in winter wheat field. The canopy reflectance was collected by an ASD hand-held spectrometer at each point. Meanwhile, the diseases index was investigated. These data were used for the following analysis. Firstly, the relationships between diseases index and reflectance of bands in the range of 300-1500 nm were analyzed. The sensitive bands were selected for stripe rust detecting. Secondly, considering the character of PHI image, red bands (620-718 nm) and near infrared bands (770-805 nm) were assigned as the best bands. Finally, the mean reflectance of red bands (620-718 nm) and near infrared bands (770-805 nm) was calculated respectively to construct the reverse model with the observed diseases indexes: DI=19.241R(1)-2.20667 R-2+12.2744. With this model, the severity degree of stripe rust of winter wheat was monitored successfully in PHI image.

引用

页码：184 / 187

页数：4

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