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Detecting an invasive shrub in deciduous forest understories using remote sensing

Wilfong, Bryan N.
http://rave.ohiolink.edu/etdc/view?acc_num=miami1217288997

Abstract Details

2008, Master of Environmental Science, Miami University, Environmental Sciences.
Remote sensing has been used to directly detect and map invasive plants, but has not been used for forest understory invaders because they are obscured by a canopy. However, if the invasive species has a leaf phenology distinct from native forest species, then temporal opportunities exist to detect the invasive. Lonicera maackii, an Asian shrub that invades North American forests, expands leaves earlier and retains leaves later than native woody species. I explored whether Landsat 5 TM and Landsat 7 ETM+ imagery could predict L. maackii cover across woodlots in Darke and Preble Counties in south western Ohio and Wayne County, Indiana. The best predictor of L. maackii cover was Normalized Difference Vegetation Index (NDVI) from November 2005, with a quadratic function providing a better fit (R2 = 0.75) than a linear function. This predictive model was verified with 15 other woodlots. With refinement, this approach can map understory invasion by L. maackii.
David L. Gorchov, PhD (Advisor)
Mary C. Henry, PhD (Committee Member)
Jerry E. Green, PhD (Committee Member)
40 p.
Ecology; Forestry; Remote Sensing
Lonicera maackii; invasive species; remote sensing; Landsat; ETM; ETM+; deciduous forest; understory; Normalized Difference Vegetation Index; NDVI

Recommended Citations

Citations

  • Wilfong, B. N. (2008). Detecting an invasive shrub in deciduous forest understories using remote sensing [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1217288997

    APA Style (7th edition)

  • Wilfong, Bryan. Detecting an invasive shrub in deciduous forest understories using remote sensing. 2008. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1217288997.

    MLA Style (8th edition)

  • Wilfong, Bryan. "Detecting an invasive shrub in deciduous forest understories using remote sensing." Master's thesis, Miami University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=miami1217288997

    Chicago Manual of Style (17th edition)

miami1217288997
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© 2008, all rights reserved.
This open access ETD is published by Miami University and OhioLINK.