Research Scientist
Jennifer Cannizzaro
Jennifer Cannizzaro

Education:

2004 — M.S., Marine Science, University of South Florida (St. Petersburg, FL)

1993 — B.A., Biology, Mount Holyoke College (South Hadley, MA)

Awards/Honors:

2004 — Outstanding Thesis Award for “Detection and quantification of Karenia brevis blooms on the west Florida shelf from remotely sensed ocean color imagery” (M.S. thesis), University of South Florida, St. Petersburg, FL

2002 — Honorary Mention awarded for best poster titled “Remote detection of red tide blooms on the west Florida shelf: A novel classification technique” at Ocean Optics XVI meeting, Santa Fe, NM

1993 — Graduated cum laude, Mount Holyoke College

Positions:

2005 — Present, Research Associate/Research Scientist, University of South Florida, College of Marine Science

1993 — 2005, Biological Scientist, University of South Florida, College of Marine Science

Research Interests:

My research interests primarily include developing, refining, and validating algorithms for retrieving inherent optical properties and chlorophyll concentrations in the Gulf of Mexico using satellite ocean color sensors. My work has also been focused recently on developing optical techniques for detecting and monitoring harmful algal blooms along the west Florida shelf using in situ optical instrumentation and satellite ocean color data.

Selected Publications:

Cannizzaro, J.P., Hu, C., English, D.C., Carder, K.C., Heil, C.A., Muller-Karger, F.E., 2009. Detection of Karenia brevis blooms on the west Florida shelf using in situ backscattering and fluorescence data. Harmful Algae 8: 898-909.

Cannizzaro, J.P., Carder, K.L., Chen, F.R., Heil, C.A., Vargo, G.A., 2008. A novel technique for detection of the toxic dinoflagellate, Karenia brevis, in the Gulf of Mexico from remotely sensed ocean color data. Continental Shelf Research 28: 137-158.

Cannizzaro, J.P., Carder, K.L., 2006. Estimating chlorophyll a concentrations from remote-sensing reflectance data in optically shallow waters. Remote Sensing of Environment 101, 13-24.

Carder, K.L., Cannizzaro, J.P., Chen, F.R., Lee, Z.P., 2006. MODIS Semi-Analytic Algorithm for IOP. In: Lee, Z.P. (Eds.), Remote sensing of inherent optical properties: Fundamentals, tests of algorithms, and applications. IOCCG, Dartmouth, Canada, pp.63-71.

Carder, K.L., Cannizzaro, J.P., Lee, Z.P., 2005. Ocean color algorithms in optically shallow waters: Limitations and improvements. In: Frouin, R.J., Babin, M., Sathyendranath, S. (Eds.), SPIE Optics and Photonics, San Diego, CA, pp. 1-11.

Cannizzaro, J.P., Carder, K.L., Chen, F.R., Walsh, J.J., Lee, Z.P., Heil, C., 2004. A novel optical classification technique for detection of red tides in the Gulf of Mexico: application to the 2001-2002 bloom event. In: K.A. Steidinger, J.H.L., C.R. Tomas, G.A. Vargo (Eds.), Harmful Algae 2002. Florida Fish and Wildlife Conservation Commission and Intergovernmental Oceanographic Commission of UNESCO, St. Petersburg, FL, USA, pp. 282-284.

Carder, K.L., Chen, F.R., Cannizzaro, J.P., Hawes, S.K., Lee, Z., 2004. MODIS Ocean Science Team Algorithm Theoretical Basis Document (ATBD 19): Case 2 Chlorophyll a.

Carder, K.L., Chen, F.R., Cannizzaro, J.P., Campbell, J.W., Mitchell, B.G., 2004. Performance of the MODIS semi-analytical ocean color