Date of Award
Master of Science
Gregory Nathaniel Taff
Michael L Kennedy
The purpose of this thesis is to determine the appropriate scale to detect Chinese Privet (Ligustrum sinense Lour.), an invasive plant species in Shelby Farms Park. To test predictions that accuracy of detection of Chinese Privet varies with the spatial resolution of WorldView-2 satellite imagery. Supervised maximum likelihood classifications are performed upon WorldView-2, 8-band multispectral image mosaics at 2, 4, 6, and 8 meter pixel resolutions. The appropriate scale for detection was selected by performing accuracy assessments of selected land use classes, which were shown to be the least spectrally separable from Chinese Privet, using confusion matrices to report user’s accuracy, producer’s accuracy, and Kappa statistics of the classified imagery at each resolution. Results indicate that WorldView-2 8-band satellite imagery resampled to a 4 meter pixel resolution produced the highest measures for the performance indicators.
Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
Quarles, Rodney, "A Method For Determining The Appropriate Spatial Resolution To Detect Ligustrum Sinense In Shelby Farms Park Using Worldview-2 Multi-Spectral Satellite Imagery." (2011). Electronic Theses and Dissertations. 381.