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Using satellite multispectral imagery for damage mapping of armyworm ( Spodoptera frugiperda) in maize at a regional scale.
- Source :
- Pest Management Science; Feb2016, Vol. 72 Issue 2, p335-348, 14p
- Publication Year :
- 2016
-
Abstract
- 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 [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1526498X
- Volume :
- 72
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Pest Management Science
- Publication Type :
- Academic Journal
- Accession number :
- 112213451
- Full Text :
- https://doi.org/10.1002/ps.4003