Monitoring Stripe Rust of Winter Wheat Using PHI Based on Sensitive Bands
LUO Ju-hua1, 2, HUANG Wen-jiang1*, GU Xiao-he1, JI Ning1, MA Li1, SONG Xiao-yu1, LI Wei-guo1, WEI Zhao-ling2
1.National Engineering Research Center For Information Technology in Agriculture, Beijing 100097, China 2.Resources and Environment College of Anhui Agricultural University, Hefei 230036, China
Abstract：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 300-1 500 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=19.241R1-2.206 67 R2+12.274 4.With this model, the severity degree of stripe rust of winter wheat was monitored successfully in PHI image.
罗菊花1，2，黄文江1*，顾晓鹤1，靳 宁1，马 丽1，宋晓宇1，李伟国1，韦朝领2 . 基于PHI影像敏感波段组合的冬小麦条锈病遥感监测研究[J]. 光谱学与光谱分析, 2010, 30(01): 184-187.
LUO Ju-hua1, 2, HUANG Wen-jiang1*, GU Xiao-he1, JI Ning1, MA Li1, SONG Xiao-yu1, LI Wei-guo1, WEI Zhao-ling2 . Monitoring Stripe Rust of Winter Wheat Using PHI Based on Sensitive Bands. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(01): 184-187.
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