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A general Landsat model to predict canopy defoliation in broadleaf deciduous forestsAuthor(s): Phillip A. Townsend; Aditya Singh; Jane R. Foster; Nathan J. Rehberg; Clayton C. Kindon; Keith N. Eshleman; Steven W. Seagle
Source: Remote Sensing of Equipment. 119: 255-265.
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
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DescriptionDefoliation by insect herbivores can be a persistent disturbance affecting ecosystem functioning. We developed an approach to map canopy defoliation due to gypsy moth based on site differences in Landsat vegetation index values between non-defoliation and defoliation dates. Using field data from two study areas in the U.S. central Appalachians and five different years (2000, 2001, 2006, 2007, and 2008), we fit a sigmoidal model predicting defoliation as a function of the difference in the vegetation index.
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CitationTownsend, Phillip A.; Singh, Aditya; Foster, Jane R.; Rehberg, Nathan J.; Kindon, Clayton C.; Eshleman, Keith N.; Seagle, Steven W. 2012. A general Landsat model to predict canopy defoliation in broadleaf deciduous forests. Remote Sensing of Equipment. 119: 255-265.
Keywordsdefoliation, Landsat, NDII, gypsy moth, change detection
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