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Anthony Vodacek
Associate Professor
           Research Interests
Anthony Vodacek
  • Remote Sensing
  • Integrating remote sensing and environmental models
  • Data assimilation
  • Dynamic Data Driven Applications Systems (DDDAS)
  • Persistent Simulation
  • Imaging spectroscopy
  • Passive and active remote sensing of water quality
  • Remote detection of wildland fire
  • Feature extraction from hyperspectral data
  • Fourier analysis of landscape metrics
Courses currently taught
3. Imaging Science Fundamentals (undergrad)
2. Environmental Applications of Remote Sensing (undergrad)
3. Spectral Instrumentation and Methods (graduate)

I work in the Digital Imaging and Remote Sensing Laboratory (DIRS)

PhD, Environmental Engineering, Cornell University, 1990
MS, Environmental Engineering, Cornell University, 1985
BS, Chemistry, University of Wisconsin - Madison, 1981

Room 76-3258

585-475-7816
585-475-5988 (fax)


Center for Imaging Science
Rochester Institute of Technology
54 Lomb Memorial Dr.
Rochester, NY 14564
Recent Invited Presentations

March 2008. Improving environmental forecasts using remote sensing data assimilation. Department of Earth and Environmental Sciences, University of Rochester.

October 2007. Assimilating remote sensing with dynamic data-driven environmental models. Department of Mechanical and Aerospace Engineering, University at Buffalo.

July 2006. Water Quality and DDDAS. DDDAS and Environmental Problems Workshop, National Laboratory for Scientific Computing (LNCC), Petropolis, Brasil.

February 2006. Environmental Forecasting with Remote Sensing.  Center for Electronic Imaging Systems (CEIS) University Technology Showcase, Rochester, NY

September 2005. Hyperspectral analysis of a wide range of water types including coastal ecologies. Seeing the Big Picture Symposium, Sarasota, FL.

May 2005. Role of remote sensing in environmental forecasting systems. 4th Annual New York State Remote Sensing Symposium, Johnstown, NY.


Current Projects

1. Collaborative Research: ITR: DDDAS: Data Dynamic Simulation for Disaster Management,  NSF

A. Project Web site

B. The following are two papers that have appeared in Remote Sensing of Environment.   The link is the Authors Accepted Manuscript without page numbers:

Ononye, A., A. Vodacek, and E. Saber. 2007. Automated Extraction of Fire Line Parameters from Multispectral Infrared Images.  Remote Sensing of Environment. 108:179-188. doi:10.1016/j.rse.2006.09.029
Li, Y., A. Vodacek, and Y. Zhu. 2007. An Automatic Statistical Segmentation Algorithm for Extraction of Fire and Smoke Regions. Remote Sensing of Environment. 108:171-178. doi:10.1016/j.rse.2006.10.023

2. Integrating remote sensing with water quality modeling for prediction of beach closures at Ontario Beach, Rochester NY, NOAA

A. Presentation describing this water quality modeling project given at ASLO in Santa Fe in February 2007
Past Projects

1. Forest Fires Imaging Experimental System (FIRES)

2. Hyperspectral Imaging of Benthic Algae Habitat Along the Southern Shoreline of Lake Ontario

Current graduate students and research topic
Yushan Zhu (PhD), Great Lakes aquatic optics
Alvin Spivey (PhD), Dynamic remote sensing feedback to hydrologic modeling, Fourier analysis of landscape metrics

Former graduate students, thesis titles, and present position
Shari McNamara, MS 2007, Using Multispectral Sensor WASP-Lite to Analyze Harmful Algal Blooms, ITT

Zhen Wang, PhD 2007, Modeling Wildland Fire Radiance in Synthetic Remote Sensing Scenes, undecided.

Yan Li, PhD 2007, An Integrated Water Quality Modeling System with Dynamic Remote Sensing Feedback, Rapiscan Systems.

Ying Li, PhD 2006, Remote Sensing Algorithm Development for Wildland Fire Detection and Mapping, Rapiscan Systems.

Gretchen Sprehe, MS 2005, Application of Phenology to Assist in Hyperspectral Species Classification of a Northern Hardwood Forest, NGA.

Andrew Fordham, MS 2002, Band Selection and Algorithm Development for Remote Sensing of Wildfires, Lockheed-Martin

Nikole Wilson, MS 2000, Hyperspectral Imaging for Bottom Type Classification and Water Depth Determination, Dr. of Veterinary Medicine

Kirk Knobelspiesse, MS 2000, Atmospheric Compensation for SeaWiFS Images of Lake Superior Utilizing Spatial Information, PhD student at Columbia Univ.

Former postdoctoral advisee, research area, and present position
Ambrose Ononye, Feature extraction of wildland fire parameters, Lickenbrock Engineering, Troy, NY
Last Updated ( Thursday, 27 March 2008 )

Refereed Journal Articles

  • Li, Y., A. Vodacek, N. Raqueno, R. Kremens, A.J. Garrett, I. Bosch, J.C. Makarewicz, and T.W. Lewis. Circulation and stream plume modeling in Conesus Lake. Environmental Modeling and Assessment. 13:275-289. doi:10.1007/s10666-007-9090-x. (2008)
  • Mandel, J., L.S. Bennethum, J.D. Beezley, J.L. Coen, C.C. Douglas, M. Kim, and A. Vodacek. A wildland fire model with data assimilation. Available online 8 April 2008, Mathematics and Computers in Simulation. doi:10.1016/j.matcom.2008.03.015 (2008)
  • Wang, Z., A. Vodacek, and J. Coen. Generation of synthetic infrared remote sensing scenes. Accepted with minor revision, Int. Journal of Wildland Fire. (2008)
  • Ononye, A., A. Vodacek, and E. Saber. Automated extraction of fire line parameters from multispectral infrared images. Remote Sensing of Environment. 108:179-188. doi:10.1016/j.rse.2006.09.029. (2007)
  • Li, Y., A. Vodacek, and Y. Zhu. An automatic statistical segmentation algorithm for extraction of fire and smoke regions. Remote Sensing of Environment. 108:171-178. doi:10.1016/j.rse.2006.10.023. (2007)
  • Li, Y., A. Vodacek, R.L. Kremens, and A. Ononye. A hybrid contextual approach to wildland fire detection using multispectral imagery. IEEE Trans. GeoSci. Remote Sensing. 43:2115-2126. (2005)
  • Kremens, R. J. Faulring, A. Gallagher, A. Seema, and A. Vodacek. Autonomous field-deployable wildland fire sensors. Int. J. Wildland Fire. 12:237-244. (2003)
  • Vodacek, A., R.L. Kremens, A.J. Fordham, S.C. VanGorden, D. Luisi, J.R. Schott, and D.J. Latham. Remote optical detection of biomass burning using a potassium emission signature. Int. J. Remote Sens. 23:2721-2726 . (2002)
  • Vodacek, A. Environmental applications of remote sensing. Informatik/ Informatique. 4:21-26. http://www.svifsi.ch/revue/pages/issues/n004/no004.html (2000)
  • D'Sa, E.;Steward, R.G. ; Vodacek, A.; Blough, N.V.; Phinney, D. Optical absorption of seawater colored dissolved organic matter determined using a liquid capillary waveguide. Limnol. Oceanogr. 44:1142-1148. (1999)
  • Bartlett, J.S.; Voss, K.J.; Sathyendranath, S.; Vodacek, A. Raman scattering by pure water and seawater. Appl. Opt. 37:3324-3332. (1998)
  • Kaiwar, S.P.;Vodacek, A.; Blough, N.V.; Pilato, R.S. . Protonation-state-dependent luminescence and excited-state electron-transfer reactions of 2- and 4-pyridine(-ium)-substituted metallo-1,2-enedithiolates. J. Am. Chem. Soc. 119:9211-9214. (1997)
  • Vodacek, A.; DeGrandpre,M.D.; Peltzer, E.T. ; Nelson, R.K.; Blough, N.V.. Seasonal variation of CDOM and DOC in the Middle Atlantic Bight: Terrestrial inputs and photooxidation. Limnol. Oceanogr. 42:674-686. (1997)
  • Kaiwar, S.P.; Hsu, J.K. ;Vodacek, A. ; Yap, G. ;Liable-Sands, L.M.;Rheingold, A.L.; Pilato, R.S. Metallo 2,3-disulfidothienoquinoxaline, 2,3-disulfidothienopyridine, and 2-sulfido-3-oxidothienoquinoxaline complexes: Synthesis and characterization Inorg. Chem. 36:2406-2412. (1997)
  • Kaiwar, S.P.;Vodacek, A.; Blough, N.V.; Pilato, R.S.. Excited state properties of quinoxaline-substituted platinum 1,2-enedithiolates. J. Am. Chem. Soc. 119:3311-3316. (1997)
  • DeGrandpre, M.D.; Vodacek, A. ; Nelson, R.K.; Bruce, E.J. ; Blough, N.V. Seasonal seawater optical properties of the U.S. Middle Atlantic Bight. J. Geophys. Res. 101:22727-22736. (1996)
  • Hoge, F.E.; Williams, M.K.; Swift, R.N. ; Yungel, J.K.;Vodacek, A. Progress toward global oceanic carbon assessment: satellite retrieval of the absorption coefficient of chromophoric dissolved organic matter in continental margins. J. Geophys. Res. 100:24847-24854. (1995)
  • Vodacek, A.; Hoge, F.E.; Swift, R.N.; Yungel, J.K.;Peltzer, E.T. ;Blough, N.V. The use of in situ and airborne fluorescence measurements to determine UV absorption coefficients and DOC concentrations in surface waters. Limnol. Oceanogr. 40:411-415. (1995)
  • Hoge, F.E., A. Vodacek, R.N. Swift, J.K. Yungel, and N.V. Blough Inherent optical properties of the ocean: Retrieval of the absorption coefficient of chromophoric dissolved organic matter from airborne laser spectral fluorescence measurements. Appl. Opt. 34:7032-7038. (1995)
  • Vodacek, A.; Green, S.A.; Blough, N.V. An experimental model of the solar-stimulated fluorescence of chromophoric dissolved organic matter. Limnol. Oceanogr. 39:1-11. (1994)
  • Hoge, F.E;Swift, R.N.; Yungel, J.K.; Vodacek, A. Fluorescence of dissolved organic matter: a comparison of North Pacific and North Atlantic Oceans during April 1991. J. Geophys. Res. 98:22779-22787. (1993)
  • Hoge, F.E.; Vodacek, A.; Blough, N.V. Inherent optical properties of the ocean: Retrieval of the absorption coefficient of DOM from spectral fluorescence measurements. Limnol. Oceanogr. 38:1394-1402. (1993)
  • Vodacek, A. An explanation of the spectral variation in freshwater CDOM fluorescence. Limnol. Oceanogr. 37:1808-1813. (1992)
  • Vodacek, A. Synchronous fluorescence spectroscopy of dissolved organic matter in surface waters: application to airborne remote sensing. Rem. Sens. Environ. 29:51-65. (1989)
  • Philpot, W.D.; Vodacek, A. Laser-induced fluorescence: Limits to the remote detection of hydrogen ion, aluminum, and dissolved organic matter. Rem. Sens. Environ. 29:51-65. (1989)
  • Vodacek, A.; Philpot, W.D. Environmental effects on laser-induced fluorescence spectra of natural waters. Rem. Sens. Environ. 21:83-95. (1987)

    • Conference Proceedings

  • Mandel, J., J.D. Beezley, L.S. Bennethum, S. Chakraborty, J.L. Coen, C.C. Douglas, J. Hatcher, M. Kim, and A. Vodacek A dynamic data driven wildland fire model Y. Shi, G.D. van Albada, P.M.A. Sloot and J.J. Dongarra (Eds). Computational Science - ICCS 2007, Lecture Notes in Computer Science. Springer. Vol. 4487. p. 1042-1049. (2007)
  • Douglas, C.C., J. D. Beezley, J. Coen, Deng Li, Wei Li, A. K. Mandel, J. Mandel, G. Qin, and A. Vodacek. Demonstrating the Validity of a Wildfire DDDAS. V. N. Alexandrov, G. D. van Albada, P. M. A. Sloot, and J. J. Dongarra (Eds.). Computational Science - ICCS 2006, Lecture Notes in Computer Science, Springer, Vol. 3993, p. 522-529. doi:10.1007/11758532_69 (2006)
  • Douglas, C.C., D. Li, R.A. Lodder, R.E. Ewing, Y. Efendiev, G. Qin, J. Coen, M. Kritz, J.D. Beezely, J. Mandel, M. Iskandarani, A. Vodacek, G. Haase. DDDAS approaches to wildland fire modeling. Proceedings of the First China-Japan-Korea-Joint Conference on Numerical Mathematics, August 3-7, Sapporo, Japan, H. Okamoto, D. Sheen, Z. Shi, T. Ozawa, T. Sakajo, and Y. Chen (eds.), Hokkaido University Mathematics Report 112. (2006)
  • Douglas, C.C., R.A. Lodder, R.E. Ewing, Y. Efendiev, G. Qin, J. Coen, M. Kritz, J.D. Beezley, J. Mandel, M. Iskandarani, A. Vodacek, G. Haase. DDDAS Approaches to Wildland Fire Modeling and Contaminant Tracking. Proc. Winter Simulation Conference, WSC 06. p. 2117-2124. doi:10.1109/WSC.2006.323011 (2006)
  • Mandel, J., L.S. Bennethum, M. Chen, J.L. Coen, C.C. Douglas, L.P. Franca, C.J. Johns, M. Kim, A.V. Knyazev, R.Kremens, V.Kulkarni, G. Qin, A. Vodacek, J. Wu, W. Zhao, and A. Zornes. Towards a dynamic data driven application system for wildfire simulation. V.S. Sunderam et al. (Eds.): Computational Science - ICCS 2005, Lecture Notes in Computer Science, Springer, Vol. 3515, p. 632-639. doi:10.1007/11428848_82 (2005)
  • Ononye, A.E., A. Vodacek, and R.L. Kremens. Fire temperature retrieval using constrained spectral unmixing and emissivity estimation. In: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, S.S. Shen and P.E. Lewis, Eds. Proc. SPIE Vol. 5806, p. 352-360. (2005)
  • Raqueno, R. V., N. G. Raqueno, A. D. Weidemann, S. W. Effler, M. Perkins, A. Vodacek, J. R. Schott, W. D. Philpot, M. Kim. Megacollect 2004: hyperspectral collection experiment over the waters of the Rochester Embayment. In: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI; Sylvia S. Shen, Paul E. Lewis; Eds. Proc. SPIE Vol. 5806, p. 566-577. (2005)
  • Vodacek, A., R. Kremens, A. Ononye, and J. Faulring. Remote image and field data collection for a dynamic fire modeling system. In: Remote Sensing for Field Users. Proc. 10th Biennial USDA Forest Service Remote Sensing Applications Conference. Salt Lake City, UT. CD-ROM. ISBN 1-57083-075-4. ASPRS. (2005)
  • Ononye, A., A. Vodacek, and R. Kremens. Improved fire temperature estimation using constrained spectral unmixing. Remote Sensing for Field Users. Proc. 10th Biennial USDA Forest Service Remote Sensing Applications Conf. Salt Lake City, UT. CD-ROM. ISBN 1-57083-075-4. ASPRS. (2005)
  • Li, Y., A. Vodacek, R. Kremens, and A. Ononye. A hybrid contextual fire detection algorithm using MODIS Imagery. Remote Sensing for Field Users. Proc. 10th Biennial USDA Forest Service Remote Sensing Applications Conf. Salt Lake City, UT. CD-ROM. ISBN 1-57083-075-4. ASPRS. (2005)
  • Wang, Z., A. Vodacek, R. Kremens, and A. Ononye. Modeling wildland fire with DIRSIG. Remote Sensing for Field Users. Proc. 10th Biennial USDA Forest Service Remote Sensing Applications Conf. Salt Lake City, UT. CD-ROM. ISBN 1-57083-075-4. ASPRS. (2005)
  • Vodacek, A., A. Ononye, Z. Wang, and Y. Li. Automatic estimation of direction of propagation of fire from aerial imagery. Remote Sensing for Field Users. Proc. 10th Biennial USDA Forest Service Remote Sensing Applications Conf. Salt Lake City, UT. CD-ROM. ISBN 1-57083-075-4. ASPRS. (2005)
  • Ononye, A., A. Vodacek, Y. Li, and Z. Wang. Mapping of active fire area by image gradient technique using multi-spectral imagery. Remote Sensing for Field Users. Proc. 10th Biennial USDA Forest Service Remote Sensing Applications Conf. Salt Lake City, UT. CD-ROM. ISBN 1-57083-075-4. ASPRS. (2005)
  • Mandel, J., M. Chen, L.P. Franca, C. Johns, A. Puhalskii, J.L. Coen, C.C. Douglas, R. Kremens, A. Vodacek, and W. Zhao. A Note on Dynamic Data Driven Wildfire Modeling. M. Bubak et al. (Eds.): Computational Science - Proceedings ICCS 2004, Lecture Notes in Computer Science Springer, Vol. 3038, p. 725-731. (2004)
  • Wang, Z., and A. Vodacek. Modeling wildland fire with DIRSIG. Visual Information Processing XIII. Proc. SPIE Vol. 5438. p. 290-296. (2004)
  • Li, Y., A. Vodacek, R. L. Kremens, A. E. Ononye. A new algorithm for global forest fire detection using multispectral images. In: Targets and Backgrounds IX: Characterization and Representation, Wendell R. Watkins, Dieter Clement, William R. Reynolds, Eds., Proc. SPIE, Vol. 5075, p. 367-377. (2003)
  • Ononye, A., A. Vodacek, R.L. Kremens, Y. Li, and D. Merritt. Empirical testing of subpixel detection of fire. Algorithms and Technologies for Multispectral , Hyperspectral, and Ultraspectral Imagery IX, Proc. SPIE Vol. 5093, p. 343-352. (2003)
  • Fairbanks, R.R., J. Schott, and A. Vodacek. The impact of clouds on SeaWiFS derived water quality. IGARSS 2000. Vol. 1, p. 252-254. (2000)
  • Raqueno, R.V., N.G. Raqueno, R.R. Fairbanks, J.R. Schott, A. Vodacek, J. Hamel. Hyperspectral analysis tools for the multiparameter inversion of water quality factors in coastal regions. Imaging Spectrometry VI, Proc. SPIE Vol. 4132, p. 323-333. (2000)
  • Vodacek, A. and N.V. Blough. Seasonal variation of CDOM in the Middle Atlantic Bight: terrestrial inputs and photooxidation. Ocean Optics XIII, Proc. SPIE Vol. 2963, p. 132-137. (1997)
  • Vodacek, A. Observation of DOM composition by synchronous fluorescence spectroscopy. Physical Measurements and Signatures in Remote Sensing. ESA SP-319 Vol 2, p. 763-766. (1991)
  • Vertucci, F.A., and A. Vodacek. The remote sensing of lake acidification using laser fluorosensing. In: Technical papers 51st annual ASP meeting, Washington, DC, 1985. Vol. 2, p. 793-802. (1985)
  • Vodacek, A., and W.D. Philpot. Use of induced fluorescence measurements to assess aluminum- organic interactions in acidified lakes. Technical papers 51st annual ASP meeting, Washington, DC, 1985. Vol. 2, p. 460-469. (1985)

    • Book Chapters

  • Mandel, J.; Chen, M.; Coen, J.L.; Douglas, C.C.; Franca, L.P.; Johns, C.; Kremens, R.;Puhalskii, A.; Vodacek, A.; Zhao, W. Dynamic Data Driven Wildfire Modeling. Dynamic Data Driven Applications Systems, F. Darema (Ed.), Kluwer, Amsterdam. Submitted. (2007)

    • Vitae

  • Vodacek, A. Vodacek CV  (2006)
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