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Short-term variability of suspended sediment and phytoplankton in Tampa Bay, Florida: Observations from a coastal oceanographic tower and ocean color satellitesZHIQIANG CHEN; CHUANMIN HU; MULLER-KARGER, Frank E et al.Estuarine, coastal and shelf science (Print). 2010, Vol 89, Num 1, pp 62-72, issn 0272-7714, 11 p.Article

Community structure of shoreline nekton in the estuarine portion of the Alafia River, Florida : Differences along a salinity gradient and inflow-related changesGREENWOOD, M. F. D; MATHESON, R. E; MCMICHAEL, R. H et al.Estuarine, coastal and shelf science (Print). 2007, Vol 74, Num 1-2, pp 223-238, issn 0272-7714, 16 p.Article

Development of a benthic index to assess sediment quality in the Tampa Bay EstuaryMALLOY, Kate J; WADE, David; JANICKI, Anthony et al.Marine pollution bulletin. 2007, Vol 54, Num 1, pp 22-31, issn 0025-326X, 10 p.Article

Application of Bacteroides fragilis phage as an alternative indicator of sewage pollution in Tampa Bay, FloridaMCLAUGHLIN, Molly R; ROSE, Joan B.Estuaries and coasts. 2006, Vol 29, Num 2, pp 246-256, issn 1559-2723, 11 p.Article

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Multi-channel resistivity investigations of the freshwater-saltwater interface : a new tool to study an old problemSWARZENSKII, Peter W; KRUSE, Sarah; REICH, Chris et al.IAHS-AISH publication. 2007, pp 100-106, issn 0144-7815, isbn 978-1-901502-04-6, 1Vol, 7 p.Conference Paper

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Exploring spatiotemporal patterns of phosphorus concentrations in a coastal bay with MODIS images and machine learning modelsCHANG, Ni-Bin; ZHEMIN XUAN; YANG, Y. Jeffrey et al.Remote sensing of environment. 2013, Vol 134, pp 100-110, issn 0034-4257, 11 p.Article

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Evaluation of chlorophyll-a remote sensing algorithms for an optically complex estuaryCHENGFENG LE; CHUANMIN HU; CANNIZZARO, Jennifer et al.Remote sensing of environment. 2013, Vol 129, pp 75-89, issn 0034-4257, 15 p.Article

Small-footprint, waveform-resolving lidar estimation of submerged and sub-canopy topography in coastal environmentsNAYEGANDHI, A; BROCK, J. C; WRIGHT, C. W et al.International journal of remote sensing (Print). 2009, Vol 30, Num 3-4, pp 861-878, issn 0143-1161, 18 p.Article

Field-scale application of three types of neural networks to predict ground-water levelsASEFA, Tirusew; WANAKULE, Nisai; ADAMS, Alison et al.Journal of the American Water Resources Association. 2007, Vol 43, Num 5, pp 1245-1256, issn 1093-474X, 12 p.Article

Assessments of urban growth in the Tampa Bay watershed using remote sensing dataXIAN, George; CRANE, Mike.Remote sensing of environment. 2005, Vol 97, Num 2, pp 203-215, issn 0034-4257, 13 p.Article

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