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Detecting Color-Producing Pigments in the Indian River Lagoon by Remote Sensing

Judice, Taylor J
http://orcid.org/0000-0003-1867-0718
http://rave.ohiolink.edu/etdc/view?acc_num=kent1566402904063089

Abstract Details

2019, MS, Kent State University, College of Arts and Sciences / Department of Earth Sciences.
The Indian River Lagoon (IRL) is a coastal marine estuary which encompasses over 250 km of the eastern Florida coastline. While providing refuge for diverse groups of marine and bird life, this sanctuary also generates an estimated $7.6 billion annually to Florida’s economy through fisheries, tourism, and other industries. Over the last several decades, various types of harmful algal blooms, such as that caused by Brown Tide species Aureoumbra lagunensis, have become more frequent across the region due to eutrophication of estuary waters from fertilizer and septic runoff, as well as from increased major storm events. Emerging satellite-based remote sensing techniques, such as the varimax-rotated, principal component analysis (VPCA) method, decomposes the integrated spectral signature from optically complex water into independent component spectra, which are identified with a library of known spectral constituents. Coupling in-situ cells counts, water-quality monitoring systems, and hyperspectral spectroradiometer reflectance measurements from June 29-30, 2018 for validation, this research addresses whether the VPCA technique applied to the Sentinel-3A Ocean Land Colour Imager (OLCI) imagery can detect A. lagunensis constituents in optically complex waters. Following the component validation, we conclude this investigation by discerning the detection limit of Brown Tide VPCA constituents with respect to the spatial frequency of Chlorophyll-a and Ochrophyta concentrations. Next, we produced a time-series of 10 images for the IRL from August 1, 2017, to November 21, 2018, to determine how constituents of Brown Tide related spectra vary with seasonal fluctuations in these water-quality parameters. This study has shown the detection limits of Brown Tide constituents using the VPCA spectral decomposition method to be less than 80 μg/L of Chlorophyll-a. Furthermore, our time-series observations of VPCA spatial variability suggests a primary potential source of nutrient pollution causing A. lagunensis growth to be centered within the Banana River region of the IRL. In conclusion, our findings indicate the VPCA satellite technique to be a transferable method for characterizing optically complex waters with harmful algal blooms.
Joseph Ortiz, Dr. (Advisor)
Elizabeth Herndon, Dr. (Committee Member)
Kuldeep Singh Chaudhary, Dr. (Committee Member)
131 p.
Geological; Geology; Hydrology; Remote Sensing
Aureoumbra, Brown tide, Harmful algal blooms, Nutrients, Remote Sensing, Satellite, VPCA spectral decomposition, ORCA

Recommended Citations

Citations

  • Judice, T. J. (2019). Detecting Color-Producing Pigments in the Indian River Lagoon by Remote Sensing [Master's thesis, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1566402904063089

    APA Style (7th edition)

  • Judice, Taylor. Detecting Color-Producing Pigments in the Indian River Lagoon by Remote Sensing. 2019. Kent State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1566402904063089.

    MLA Style (8th edition)

  • Judice, Taylor. "Detecting Color-Producing Pigments in the Indian River Lagoon by Remote Sensing." Master's thesis, Kent State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1566402904063089

    Chicago Manual of Style (17th edition)

kent1566402904063089
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© 2019, all rights reserved.
This open access ETD is published by Kent State University and OhioLINK.