Master of Science (MS)
First Advisor's Name
Assefa M. Melesse
First Advisor's Committee Title
Second Advisor's Name
Leonard J. Scinto
Second Advisor's Committee Title
Third Advisor's Name
Jennifer S. Rehage
Third Advisor's Committee Title
Chlorophyll-a, Chesapeake Bay, Ocean Color Algorithm, Coastal Water, Algal Bloom, MODIS
Date of Defense
This study analyses the spatial and temporal variability of chlorophyll-a in Chesapeake Bay; assesses the performance of Ocean Color 3M (OC3M) algorithm; and develops a novel algorithm to estimate chlorophyll-a for coastal shallow water. The OC3M algorithm yields an accurate estimate of chlorophyll-a concentration for deep ocean water (RMSE=0.016), but it failed to perform well in the coastal water system (RMSE=23.17) of Chesapeake Bay. A novel algorithm was developed which utilizes green and red bands of the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. The novel algorithm derived the chlorophyll-a concentration more accurately in Chesapeake Bay (RMSE=4.20) than the OC3M algorithm. The study indicated that the algorithm that uses red bands could improve the satellite estimation of chlorophyll-a in the coastal water system by reducing the noise associated with bottom reflectance and colored dissolved organic matter (CDOM)
Abbas, Mohd Manzar, "Developing Ocean Color Algorithm using Moderate Resolution Imaging Spectroradiometer (MODIS) Sensor for Shallow Coastal Water Bodies" (2018). FIU Electronic Theses and Dissertations. 3733.
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