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Article
Use of Spectral Vegetation Indices Derived from Airborne Hyperspectral Imagery for Detection of European Corn Borer Infestation in Iowa Corn Plots
Journal of Economic Entomology
  • Matthew W. Carroll, United States Environmental Protection Agency
  • John A. Glaser, United States Environmental Protection Agency
  • Richard L. Hellmich, Iowa State University
  • Thomas E. Hunt, University of Nebraska Northeast Research and Extension Center
  • Thomas W. Sappington, Iowa State University
  • Dennis Calvin, Pennsylvania State University - Main Campus
  • Ken Kopenhaver, Institute for Technology Development
  • John Fridgen, Institute for Technology Development
Document Type
Article
Publication Date
10-1-2008
DOI
10.1603/0022-0493(2008)101[1614:UOSVID]2.0.CO;2
Abstract

Eleven spectral vegetation indices that emphasize foliar plant pigments were calculated using airborne hyperspectral imagery and evaluated in 2004 and 2005 for their ability to detect experimental plots of corn manually inoculated with Ostrinia nubilalis (Hübner) neonate larvae. Manual inoculations were timed to simulate infestation of corn, Zea mays L., by first and second flights of adult O. nubilalis. The ability of spectral vegetation indices to detect O. nubilalis-inoculated plots improved as the growing season progressed, with multiple spectral vegetation indices able to identify infested plots in late August and early September. Our findings also indicate that for detecting O. nubilalis-related plant stress in corn, spectral vegetation indices targeting carotenoid and anthocyanin pigments are not as effective as those targeting chlorophyll. Analysis of image data suggests that feeding and stem boring by O. nubilalis larvae may increase the rate of plant senescence causing detectable differences in plant biomass and vigor when compared with control plots. Further, we identified an approximate time frame of 5–6 wk postinoculation, when spectral differences of manually inoculated “second” generation O. nubilalis plots seem to peak.

Comments

This article is from Journal of Economic Entomology; 101 (2008); 1614-1623; doi: 10.1603/0022-0493(2008)101[1614:UOSVID]2.0.CO;2

Rights
Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.
Language
en
Date Available
2014-08-27
File Format
application/pdf
Citation Information
Matthew W. Carroll, John A. Glaser, Richard L. Hellmich, Thomas E. Hunt, et al.. "Use of Spectral Vegetation Indices Derived from Airborne Hyperspectral Imagery for Detection of European Corn Borer Infestation in Iowa Corn Plots" Journal of Economic Entomology Vol. 101 Iss. 5 (2008) p. 1614 - 1623
Available at: http://works.bepress.com/richard_hellmich/10/