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Using satellite multispectral imagery for damage mapping of armyworm ( Spodoptera frugiperda ) in maize at a regional scale
Author(s) -
Zhang Jingcheng,
Huang Yanbo,
Yuan Lin,
Yang Guijun,
Chen Liping,
Zhao Chunjiang
Publication year - 2017
Publication title -
pest management science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.296
H-Index - 125
eISSN - 1526-4998
pISSN - 1526-498X
DOI - 10.1002/ps.4736
Subject(s) - spodoptera , fall armyworm , mythimna separata , pest analysis , multispectral image , biology , china , integrated pest management , insect pest , botany , agronomy , geography , remote sensing , lepidoptera genitalia , archaeology , gene , biochemistry , recombinant dna
BACKGROUND: Armyworm, a destructive insect for maize, has caused a wide range of damage in both China and the United States in recent years. To obtain the spatial distribution of the damage area, and to assess the damage severity, a fast and accurate loss assessment method is of great importance for effective administration. The objectives of this study were to determine suitable spectral features for armyworm detection and to develop a mapping method at a regional scale on the basis of satellite remote sensing image data. RESULTS: Armyworm infestation can cause a significant change in the plant’s leaf area index, which serves as a basis for infestation monitoring. Among the number of vegetation indices that were examined for their sensitivity to insect damage, the modified soil-adjusted vegetation index was identified as the optimal vegetation index for detecting armyworm. A univariate model relying on two-date satellite images significantly outperformed a multivariate model, with the overall accuracy increased from 0.50 to 0.79. CONCLUSION: A mapping method for monitoring armyworm infestation at a regional scale has been developed, based on a univariate model and two-date multispectral satellite images. The successful application of this method in a typical armyworm outbreak event in Tangshan, Hebei Province, China, demonstrated the feasibility of the method and its promising potential for implementation in practice. © 2015 Society of Chemical Industry