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A new spectral index for the quantitative identification of yellow rust using fungal spore information

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Yellow rust (Puccinia striiformis f.sp.Tritici) is a frequently occurring fungal disease of winter wheat (Triticum aestivum L.).During yellow rust infestation,fungal spores appear on the surface of the leaves as yellow and narrow stripes parallel to the leaf veins.We analyzed the effect of the fungal spores on the spectra of the diseased leaves to find a band sensitive to yellow rust and established a new vegetation index called the yellow rust spore index (YRSI).The estimation accuracy and stability were evaluated using two years of leaf spectral data,and the results were compared with eight indices commonly used for yellow rust detection.The results showed that the use of the YRSI ranked first for estimating the disease ratio for the 2017 spectral data (R2 =0.710,RMSE =0.097) and outperformed the published indices (R2 =0.587,RMSE =0.120) for the validation using the 2002 spectral data.The random forest (RF),k-nearest neighbor (KNN),and support vector machine (SVM) algorithms were used to test the discrimination ability of the YRSI and the eight commonly used indices using a mixed dataset of yellow-rust-infested,healthy,and aphid-infested wheat spectral data.The YRSI provided the best performance.

Yellow rustspectral indexfungal sporesquantitative identificationhyperspectral remote sensingwinter wheat

Yu Ren、Huichun Ye、Wenjiang Huang、Huiqin Ma、Anting Guo、Chao Ruan、Linyi Liu、Binxiang Qian

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Key Laboratory of Digital Earth Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing,China

University of Chinese Academy of Sciences,Beijing,China

Hainan Key Laboratory 15f Earth Observation,Hainan Institute of Aerospace Information,Chinese Academy of Sciences,Sanya,China

research was funded by the Chinese Academy of SciencesNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Special Support Program for High-level Personnel Recruitment (Wenjiang Huang)Youth Innovation Promotion Association CAS (Huichun Ye)and the Future Star Talent Program of Aerospace Information Research Institute,CAS (Huichun Ye)

183611KYSB2020008041871339420713204207142341801338

2021

地球大数据(英文版)

地球大数据(英文版)

ISSN：
年,卷(期)：2021.5(2)
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