Electronic Theses and Dissertations

Identifier

475

Date

2011

Date of Award

12-1-2011

Document Type

Thesis

Degree Name

Master of Science

Major

Earth Sciences

Concentration

Geography

Committee Chair

Esra Ozdenerol

Committee Member

Gregory Nathaniel Taff

Committee Member

Michael L Kennedy

Abstract

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.

Comments

Data is provided by the student.

Library Comment

dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.

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