Development of satellite bloom detection products for coastal Oregon Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/3r074x61k

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  • Two bloom-detection products were developed for the Oregon coast that describe the relative percent change observed between successive pairs of 8-day chlorophyll-a (CHL) and fluorescence line-height (FLH) products obtained from the MODerate Resolution Imaging Spectroradiometer aboard the Aqua spacecraft (MODIS-Aqua). The CHL[subscript dev] and FLH[subscript dev] products, respectively, were optimized to detect bloom onset via satellite in a region typified by high-frequency biological variability at the time scale of days and persistent cloud cover. Daily CHL[subscript dev] and FLH[subscript dev] imagery highlights the geographic locations of greatest temporal change observed between weekly average CHL or FLH products over time, providing a way to track the onset and advection of algal blooms. "Bloom indices" based on CHL[subscript dev] and FLH[subscript dev] were developed as a temporal metric of regional-scale bloom events. Comparison of these indices to in situ mooring data collected off the central Oregon coast from summer 2009 through winter 2010 demonstrated successful detection of all upwelling-induced bloom events, plus a late-season harmful algal bloom associated with wind relaxation and warming surface waters. During summer and autumn of 2009, significant correlation was observed between blooms detected by the CHL[subscript dev] and FLH[subscript dev] indices and two in situ metrics of upwelling-favorable conditions: 1) temperature, with temporal lags of -1 (r=-0.41) and 0 days (r=-0.45), respectively, and wind stress, with temporal lags of +2 (r=-0.25 and -0.41, respectively). Consistent with the regional oceanography, winds were shown to be dominant drivers of observed blooms during the summer and autumn. Winter 2009 through spring 2010 yielded high-variability bloom indices, due to frequent, variable cloud coverage, and no significant correlation was observed between the indices and in situ data. Coupled with physical proxies collected via satellite or in situ, these products provide an excellent foundation for remote bloom detection in Oregon’s coastal waters and regions with similar biological and physical conditions.
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