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Tharindu_Abeysinghe_Master's_Thesis.pdf (3.74 MB)

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Mapping Invasive Phragmites australis in the Old Woman Creek Estuary Using Remote Sensing

Abeysinghe, Tharindu Hasantha
http://orcid.org/0000-0003-4902-3054
http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1546430964233226

Abstract Details

2019, Master of Science (MS), Bowling Green State University, Geology.
The application of remote sensing techniques in mapping, classifying and monitoring land cover, land use and vegetation are popular among the researchers and scientists for several decades. It became more productive and economical in recent years with the advancement of information technology in a sophisticated and revolutionary manner. Currently, remote sensing is a widely used effective technique that provides spatial and temporal information about vegetation and invasive species in wetlands. The first objective of this study was to assess the effectiveness of the data obtained via Unmanned Ariel Vehicles (UAV) to identify invasive Phragmites australis in the Old Woman Creek (OWC) in Ohio. Secondly, the study aimed to determine the most suitable algorithm to distinguish between Phragmites australis and other vegetation types using pixel based and object based classification methods and a combination of feature layers derived from the UAV images. Pixel based classification found to be performing better than object based classification. Pixel based Neural Network (NN) was identified as the best classifier to map Phragmites in OWC with the least error of omission of 1.59% and the overall accuracy of 94.80% based on the Sequoia image acquired in August that was stacked with Canopy Height Model (CHM) from August and NDVI, which was derived using UAV data acquired in October (NDVIOct). The study emphasizes the necessity of a suitable sampling method and the use of optimum parameters of non-parametric classifiers. The study provides future directions for data acquisition to map Phrgamites at early and mid-summer to find data to eradicate Phragmites effectively in OWC estuary.
Anita Simic Milas, Ph.D. (Advisor)
Andrew Gregory, Ph.D. (Committee Member)
Angelica Vazquez-Ortega, Ph.D. (Committee Member)
127 p.
Ecology; Environmental Science; Geography; Remote Sensing
Remote Sensing; Classification; Invasive Plants; Mapping; UAV; Old Woman Creek

Recommended Citations

Citations

  • Abeysinghe, T. H. (2019). Mapping Invasive Phragmites australis in the Old Woman Creek Estuary Using Remote Sensing [Master's thesis, Bowling Green State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1546430964233226

    APA Style (7th edition)

  • Abeysinghe, Tharindu. Mapping Invasive Phragmites australis in the Old Woman Creek Estuary Using Remote Sensing. 2019. Bowling Green State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1546430964233226.

    MLA Style (8th edition)

  • Abeysinghe, Tharindu. "Mapping Invasive Phragmites australis in the Old Woman Creek Estuary Using Remote Sensing." Master's thesis, Bowling Green State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1546430964233226

    Chicago Manual of Style (17th edition)

bgsu1546430964233226
274
© 2019, all rights reserved.
This open access ETD is published by Bowling Green State University and OhioLINK.