scholarly journals Multispectral in situ measurements of organic matter and chlorophyll fluorescence in seawater: Documenting the intrusion of the Mississippi River plume in the West Florida Shelf

2001 ◽  
Vol 46 (7) ◽  
pp. 1836-1843 ◽  
Author(s):  
Carlos E. Del Castillo ◽  
Paula G. Coble ◽  
Robyn N. Conmy ◽  
Frank E. Müller-Karger ◽  
Lisa Vanderbloemen ◽  
...  
Harmful Algae ◽  
2009 ◽  
Vol 8 (6) ◽  
pp. 898-909 ◽  
Author(s):  
Jennifer P. Cannizzaro ◽  
Chuanmin Hu ◽  
David C. English ◽  
Kendall L. Carder ◽  
Cynthia A. Heil ◽  
...  

2007 ◽  
Vol 24 (4) ◽  
pp. 702-712 ◽  
Author(s):  
Yonggang Liu ◽  
Robert H. Weisberg ◽  
Lynn K. Shay

Abstract To assess the spatial structures and temporal evolutions of distinct physical processes on the West Florida Shelf, patterns of ocean current variability are extracted from a joint HF radar and ADCP dataset acquired from August to September 2003 using Self-Organizing Map (SOM) analyses. Three separate ocean–atmosphere frequency bands are considered: semidiurnal, diurnal, and subtidal. The currents in the semidiurnal band are relatively homogeneous in space, barotropic, clockwise polarized, and have a neap-spring modulation consistent with semidiurnal tides. The currents in the diurnal band are less homogeneous, more baroclinic, and clockwise polarized, consistent with a combination of diurnal tides and near-inertial oscillations. The currents in the subtidal frequency band are stronger and with more complex patterns consistent with wind and buoyancy forcing. The SOM is shown to be a useful technique for extracting ocean current patterns with dynamically distinctive spatial and temporal structures sampled by HF radar and supporting in situ measurements.


2000 ◽  
Vol 45 (6) ◽  
pp. 1425-1432 ◽  
Author(s):  
Carlos E. Del Castillo ◽  
Fernando Gilbes ◽  
Paula G. Coble ◽  
Frank E. Müller-Karger

1996 ◽  
Vol 133 ◽  
pp. 287-297 ◽  
Author(s):  
WS Gardner ◽  
R Benner ◽  
RMW Amon ◽  
JB Cotner ◽  
JF Cavaletto ◽  
...  

2003 ◽  
Vol 30 (13) ◽  
Author(s):  
Jason K. Jolliff ◽  
John J. Walsh ◽  
Ruoying He ◽  
Robert Weisberg ◽  
Antoya Stovall-Leonard ◽  
...  

Author(s):  
MINGRUI ZHANG ◽  
LAWRENCE O. HALL ◽  
DMITRY B. GOLDGOF ◽  
FRANK E. MÜLLER-KARGER

A knowledge-guided approach to automatic classification of Coastal Zone Color images off the West Florida Shelf is described. The approach is used to identify red tides on the West Florida Shelf, as well as areas with high concentration of dissolved organic matter such as a river plume found seasonally along the West Florida coast over the middle of the shelf. The Coastal Zone Color images are initially segmented by the unsupervised Multistage Random Sampling Fuzzy c-Means algorithm. Then, a knowledge-guided system is applied to the centroid values of resultant clusters to label case I, case II waters, a dilute river plume ("green river"), and red tide. The domain knowledge base contains information on cluster distribution in feature space, as well as spatial information such as bathymetry data. Our knowledge base consists of a rule-guided system and an embedded neural network. From 60 images, after training the system, this procedure recognizes all 15 images which contained a river plume and 45 images without. The system can correctly classify 74% of the pixels that belong to the river plume, which provides a substantial advantage to users looking for offshore extensions of riverine influence. Red tides are also successfully identified in a time series of images for which ground truth confirmed the presence of a harmful bloom.


2004 ◽  
Vol 89 (1-4) ◽  
pp. 225-239 ◽  
Author(s):  
Gary L Hitchcock ◽  
Robert F Chen ◽  
G.Bernard Gardner ◽  
William J Wiseman

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