Anthony Vodacek

Anthony Vodacek's picture

Research Details

Research Interests
  • Remote Sensing
  • Integrating remote sensing and environmental models
  • Data assimilation
  • Spatial Thinking
  • Dynamic Data Driven Applications Systems (DDDAS)
  • Imaging spectroscopy
  • Land cover mapping and land cover change
  • Conservation remote sensing
  • Passive and active remote sensing of water quality
  • Remote detection of wildland fire
  • Feature extraction from hyperspectral data
  • Hybrid algorithms
  • Fourier analysis of landscape metrics
Curriculum Vitae

Personal Information

Contact Information
Room: 76-3258
Phone: (585)475-7816
Fax: (585)475-5988
Email: vodacek@cis.rit.edu

Chester F. Carlson Center for Imaging Science
Rochester Institute of Technology
54 Lomb Memorial Dr.
Rochester, NY 14623
Title and Degrees
PhD, Environmental Engineering, Cornell University, 1990
MS, Environmental Engineering, Cornell University, 1985
BS, Chemistry, University of Wisconsin - Madison, 1981
Other details
Selected Invited Presentations

April 2013. Remote Sensing of GeoHazards in the African Rift Valley. Physics Department, Andrews University.

March 2013. An introduction to remote sensing science at RIT and a report on baseline studies of the Lake Kivu System. National University of Rwanda.

December 2011. Assimilating Optical and Thermal Remote Sensing with Plume Models in Lake Ontario. GIS Day 2011 Modeling Symposium, Notre Dame University.

February 2011. Vodacek, A., C. Ebinger, and R. Hecky. Research plans in the Lake Kivu system arising from the 2010 workshop: Establishing environmental and geohazard baselines for change in the dynamic Lake Kivu System. International Workshop on the Monitoring and Development of Lake Kivu Gas Resources, Gisenyi, Rwanda.

December 2010. Remote Multispectral Imaging of Wildland Fires, Natural Hazards Session - Wildfires on Landscapes: Theory, Models, and Management II, AGU Fall Meeting.


Current Projects

1. Promoting spatial thinking in natural resource management through community mapping: the case of urban and rural secondary schools of Rwanda, Funding source: Innovation for Education (MINEDUC and UKAID). We are introducing spatial thinking into Rwandan high school curriculum in two target schools by teacher training and by providing mobile technology mapping applications to the students and encouraging them to explore and map their own communitites. Through rigorous assessment of student performance on spatial thinking assessments, we will quantify improvements in spatial thinking ability while also monitoring innovation by students and teachers alike. The following is our initial contribution from this project:
Tomaszewski, B.; Vodacek, A.; Parody, R.; Holt, N. In Review. Spatial Thinking Ability Assessment in Rwandan Secondary Schools: Baseline Results, Journal of Geography. Published online: 04 Aug 2014, doi:10.1080/00221341.2014.918165.

Some Past Projects


1. DDDAS for Object Tracking in Complex and Dynamic Environments (DOTCODE), Funding source: AFOSR. We are combining image analysis, vehicle motion models, crowdsourced data, and adaptive sensing in a dynamic data-driven application system (DDDAS) for object tracking. Our test data is high resolution video generated by DIRSIG. The following are some papers from this project:
Uzkent, B.; Hoffman, M.J.; Vodacek, A.; Chen, B., In Press. Feature Matching with an Adaptive Optical Sensor in a Ground Target Tracking System. IEEE Sensors Journal.
Chen, B., A. Vodacek, and N. D. Cahill. 2013. A Novel Adaptive Scheme for Evaluating Spectral Similarity in High-resolution Urban Scenes. IEEE J. Selected Topics Appl. Earth Obs. Remote Sens. (JSTARS). 6:1376-1385. doi:10.1109/JSTARS.2013.2254702
Uzkent, B.; Hoffman, M.J.; Vodacek, A.; Kerekes, J.P.; Chen, B., 2013. Feature Matching and Adaptive Prediction Models in an Object Tracking DDDAS, Procedia Computer Science, 18, pp. 1939-1948. doi:10.1016/j.procs.2013.05.363
Chen, B., A. Vodacek, and N.D. Cahill. 2012. Novel spectral similarity measure for high resolution urban scenes. Proc. IEEE 2012 Geoscience and Remote Sensing Symposium (IGARSS). pp. 6637-6640. DOI: 10.1109/IGARSS.2012.6352077
Vodacek, A., J.P. Kerekes, M.J. Hoffman. 2012. Adaptive Optical Sensing in an Object Tracking DDDAS, Procedia Computer Science, 9, pp. 1159-1166. doi:10.1016/j.procs.2012.04.125
2. Dynamics of the Lake Kivu System: Geological, Biological and Hydrographic Impacts on Biodiversity and Human Wellbeing, Funding source: John D. and Catherine T. MacArthur Foundation. A multidisciplinary of the past history and current status of the Lake Kivu System. The work combines baseline surveys including sediment cores, seismic profiling, earthquake monitoring, and terrestrial remote sensing to understand past change at a variety of spatial and temporal scales. From this new understanding of the dynamics of the system we gain a better understanding of system component interactions and potential scenarios for future change. The following is a conference paper from this project:
Basnet, B., and A. Vodacek. 2012. Multitemporal Landsat Imagery Analysis to Study the Dynamics of Land Cover over Lake Kivu Region. Proc. EARSeL 1st Int. Workshop on Temporal Analysis of Satellite Images. http://www.earsel.org/SIG/timeseries/proceedings.php

3. Collaborative Research: ITR: DDDAS: Data Dynamic Simulation for Disaster Management, Funding source: NSF
The following are some papers produced from this project:
Wang, Z., A. Vodacek, and J. Coen. 2009. Generation of synthetic infrared remote-sensing scenes of wildland fire. International Journal of Wildland Fire. 18:302-309. doi:10.1071/WF08089
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
4. Forest Fires Imaging Experimental System (FIRES) (Project Website)
Some project papers (see below for my full list of publications for others):
Li, Y., A. Vodacek, R.L. Kremens, A.E. Ononye, and C. Tang. 2005. A hybrid contextual approach to wildland fire detection using multispectral imagery., IEEE Trans. Geosci. Remote Sens. 43:2115-2126.
Vodacek, A., R.L. Kremens, A.J. Fordham, S.C. VanGorden, D. Luisi, J.R. Schott, and D.J. Latham. 2002. Remote optical detection of biomass burning using a potassium emission signature. International Journal of Remote Sensing, 23:2721-2726.
5. Integrating remote sensing with water quality modeling for prediction of beach closures at Ontario Beach, Rochester NY, NOAA. You can download a presentation describing this water quality modeling project given at ASLO in Santa Fe in February 2007.

6. Hyperspectral Imaging of Benthic Algae Habitat Along the Southern Shoreline of Lake Ontario (Project Website)

Current graduate students and research topic
Bin Chen (PhD), Classification and segmentation of high resolution multispectral urban scenes
Bikash Basnet (PhD), Identification of long-term land cover change in the Albertine Rift
Donath Uwanyirigira (MS), Undecided, but a topic related to remote sensing in Rwanda

Former graduate students, thesis/project titles, and present position
Alvin Spivey, PhD 2011, Multiple Scale Landscape Pattern Index Interpretation for the Persistent Monitoring of Land-Cover and Land-Use. Exelis.

Geoff Franz, MS 2009, Calibration of a Picosecond Camera for Use in a Lawer-Based Spectrofluorometer, DRS Technologies

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, Consultant

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, GE Healthcare.

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, The SI.

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, NASA-ORAU Postdoctoral Program

Former postdoctoral advisee, research area, and present position
Ambrose Ononye, Feature extraction of wildland fire parameters, Rock-Pone Technologies

Scholarships/Awards

  • IEEE - Senior Member (2013)

Publications

Vodacek, Anthony

REFEREED JOURNAL ARTICLES

    Tomaszewski, B.; Vodacek, A.; Parody, R.; Holt, N., Spatial Thinking Ability Assessment in Rwandan Secondary Schools: Baseline Results, Journal of Geography, Published online, DOI:10.1080/00221341.2014.918165 (2014)

    Rose, R.; Byler, D.; Eastman, J.J.; Fleishman, E.; Geller, G.; Goetz, S.; Guild, L.; Hamilton, H.; Hansen, M.; Headley, R.; Hewson, J.; Horning, N.; Kaplin, B.; Laporte, N.; Leidner, A.; Leimgruber, P.; Morisette, J.; Musinsky, J.; Pintea, L.; Prados, A.; Radeloff, V.; Rowen, M.; Saatchi, S.; Schill, S.; Tabor, K.; Turner, W.; Vodacek, A.; Vogelmann, J.; Wegmann, M.; Wilkie, D.; Wilson, C., The top 10 conservation questions that can be addressed through remote sensing technologies, Conservation Biology, In Review (2014)

    Uzkent, B.; Hoffman, M.J.; Vodacek, A.; Chen, B., Feature Matching with an Adaptive Optical Sensor in a Ground Target Tracking System, IEEE Sensors Journal, Early access online., 10.1109/JSEN.2014.2346152. (2014)

    Chen, B.; Vodacek, A.; Cahill, N.D., A Novel Adaptive Scheme for Evaluating Spectral Similarity in High-resolution Urban Scenes., IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6, 3, pp. 1376-1385 (2013)

    Vodacek, A., Linking year-to-year Cladophora variability in Lake Ontario to the temperature contrast between nearshore and offshore waters during the spring, Journal of Great Lakes Research, 38, Supplement 4, doi: 10.1016/j.jglr.2012.02.013, pp. 85-90 (2012)

    Wang, Z.; Vodacek, A.; Coen, J.L., Generation of synthetic infrared remote-sensing scenes of wildland fire, International Journal of Wildland Fire, 18, 3, pp. 302-309 (2009)

    Makarewicz, J.C.; Lewis, T.W.; Bosch, I.; Noll, M.R.; Herendeen, N.; Simon, R.D.; Zollweg, J.; Vodacek, A., The impact of agricultural best management practices on downstream systems: Soil loss and nutrient chemistry and flux to Conesus Lake, New York, USA, Journal of Great Lakes Research, 35, pp. 23-36 (2009)

    Mandel, J.A.; Bennethum, L.S.; Beezley, J.D.; Coen, J.L.; Douglas, C.C.; Kim, M.; Vodacek, A., A wildland fire model with data assimilation, Mathematics and Computers in Simulation, 79, pp. 584-606 (2008)

    Li, Y.; Vodacek, A.; Kremens, R.L.; Garrett, A.J.; Bosch, I.; Makarewicz, J.C.; Lewis, T.W., Circulation and stream plume modeling in Conesus Lake., Environmental Modeling and Assessment., 13, pp. 175-289 (2008)

    Li, Y.; Vodacek, A.; Zhu, Y., An automatic statistical segmentation algorithm for extraction of fire and smoke regions, Remote Sensing of Environment, 108, pp. 171-178 (2007)

    Ononye, A.E.; Vodacek, A.; Saber, E., Automated extraction of fire line parameters from multispectral infrared images., Remote Sensing of Environment, 108, pp. 179-188 (2006)

    Li, Y.; Vodacek, A.; Kremens, R.L.; Ononye, A.E., A hybrid contextual approach to wildland fire detection using multispectral imagery., IEEE Transactions on Geoscience and Remote Sensing, 43, pp. 2115-2126 (2005)

    Kremens, R.L.; Faulring, J.W.; Gallagher, A.J.; Seema, A.; Vodacek, A., Autonomous field-deployable wildland fire sensors., International Journal of Wildland Fire, 12, pp. 237-244 (2003)

    Vodacek, A.; Kremens, R.L.; Fordham, A.J.; VanGorden, S.C.; Luisi, D.; Schott, J.R.; Latham, D.J., Remote optical detection of biomass burning using a potassium emission signature., International Journal of Remote Sensing, 23, pp. 2721-2726 (2002)

    Vodacek, A., Environmental applications of remote sensing., RIT Digital Media Library (2000)

    D'Sa, E.J.; Steward, R.G.; Vodacek, A.; Blough, N.V.; Phinney, D., Optical absorption of seawater colored dissolved organic matter determined using a liquid capillary waveguide., Limnology and Oceanography, 44, pp. 1142-1148 (1999)

    Bartlett, J.S.; Voss, K.J.; Sathyendranath, S.; Vodacek, A., Raman scattering by pure water and seawater., Applied Optics, 37, pp. 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., Journal of the American Chemical Society, 119, pp. 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., Limnology and Oceanography, 42, pp. 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, Inorganic Chemistry, 36, pp. 2406-2412 (1997)

    Kaiwar, S.P.; Vodacek, A.; Blough, N.V.; Pilato, R.S., Excited state properties of quinoxaline-substituted platinum 1,2-enedithiolates., Journal of the American Chemical Society, 119, pp. 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., Journal of Geophysical Research, 110, C10, pp. 22727-22736 (1996)

    Hoge, F.E.; Williams, M.E.; 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., Journal of Geophysical Research, 100, pp. 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., Limnology and Oceanography, 40, pp. 411-415 (1995)

    Hoge, F.E.; Vodacek, A.; Swift, R.N.; Yungel, J.K.; Blough, N.V., Inherent optical properties of the ocean: Retrieval of the absorption coefficient of chromophoric dissolved organic matter from airborne laser spectral fluorescence measurements., Applied Optics, 34, pp. 7032-7038 (1995)

    Vodacek, A.; Green, S.A.; Blough, N.V., An experimental model of the solar-stimulated fluorescence of chromophoric dissolved organic matter., Limnology and Oceanography, 39, pp. 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., Journal of Geophysical Research, 98, C12, pp. 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., Limnology and Oceanography, 38, 7, pp. 1394-1402 (1993)

    Vodacek, A., An explanation of the spectral variation in freshwater CDOM fluorescence., Limnology and Oceanography, 37, 8, pp. 1808-1813 (1992)

    Vodacek, A., Synchronous fluorescence spectroscopy of dissolved organic matter in surface waters: application to airborne remote sensing., Remote Sensing of Environment, 29, pp. 51-65 (1989)

    Philpot, W.D.; Vodacek, A., Laser-induced fluorescence: Limits to the remote detection of hydrogen ion, aluminum, and dissolved organic matter., Remote Sensing of Environment, 29, 1, pp. 51-65 (1989)

    Vodacek, A.; Philpot, W.D., Environmental effects on laser-induced fluorescence spectra of natural waters., Remote Sensing of Environment, 21, 1, pp. 83-95 (1987)


REFEREED CONFERENCE PROCEEDINGS

    Uzkent, B.; Hoffman, M.J.; Vodacek, A.; Kerekes, J.P.; Chen, B., Feature Matching and Adaptive Prediction Models in an Object Tracking DDDAS, Procedia Computer Science, Procedia Computer Science, 18, pp. 1939-1948 (2013)

    Vodacek, A.; Kerekes, J.P.; Hoffman, M.J., Adaptive Optical Sensing in an Object Tracking DDDAS, Procedia Computer Science, 9, pp. 1159-1166 (2012)


CONFERENCE PROCEEDINGS

    Chen, B.; Vodacek, A.; Cahill, N.D., Novel spectral similarity measure for high resolution urban scene, Proceedings of 2012 IEEE International Geoscience & Remote Sensing Symposium, IEEE, 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Bavaria, Germany, July (2012)

    Basnet, B.; Vodacek, A., Multitemporal Landsat imagery analysis to study the dynamics of land cover change over Lake Kivu region, 1st EARSeL Workshop on Temporal Analysis of Satellite Images, EARSeL, 1st EARSeL Workshop on Temporal Analysis of Satellite Images, Myconos, Kikladhes, Greece, May (2012)

    Vodacek, A.; Li, Y.; Garrett, A.J., Remote sensing data assimilation in environmental models, Proceedings of AIPR '08, IEEE, Applied Imagery Pattern Recognition Workshop, 2008, Washington, District of Columbia, United States, October (2008)

    Beezley, J.D.; Chakraborty, S.; Coen, J.L.; Douglas, C.C.; Mandel, J.A.; Vodacek, A.; Wang, Z., Real-Time Data Driven Wildland Fire Modeling., Lecture Notes in Computer Science, International Conference on Computational Science, ICCS 2008, 5103, Krakow, Malopolskie, Poland, pp. 46-53 (2008)

    Mandel, J.A.; Beezley, J.D.; Bennethum, L.S.; Chakraborty, S.; Coen, J.L.; Douglas, C.C.; Hatcher, J.; Kim, M.; Vodacek, A., A dynamic data driven wildland fire model, Proceedings of the 7th international conference on Computational Science, Graduate University of the Chinese Academy of Sciences, International Conference on Computational Science - ICCS 2007, 4487, Beijing, Beijing, China, pp. 1042-1049 (2007)

    Coen, J.L.; Beezley, J.D.; Bennethum, L.S.; Douglas, C.C.; Kim, M.; Kremens, R.L.; Mandel, J.; Qin, G.; Vodacek, A., A Wildland Fire Dynamic Data-Driven Application System, American Meteorological Society, 11th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS), 14-18 January, San Antonio, Texas, United States (2007)

    Douglas, C.C.; Li, D.; Lodder, R.A.; Ewing, R.E.; Efendiev, Y.; Qin, G.; Coen, J.L.; Kritz, M.; Beezley, J.D.; Iskandarani, M.; Vodacek, A.; Haase, G., DDDAS approaches to wildland fire modeling., Proceedings of the First China-Japan-Korea-Joint Conference on Numerical Mathematics, Hokkaido University, First China-Japan-Korea-Joint Conference on Numerical Mathematics, Hakodate, Hokkaido, Japan, pp. 23-26, August (2006)

    Douglas, C.C.; Lodder, R.A.; Ewing, R.E.; Efendiev, Y.; Qin, G.; Coen, J.L.; Kritz, M.; Beezley, J.D.; Mandel, J.A.; Iskandarani, M.; Vodacek, A.; Haase, G., DDDAS Approaches to Wildland Fire Modeling and Contaminant Tracking., Proceedings of the 38th conference on Winter simulation, IEICE ESS, Winter Simulation Conference, Dynamic data driven application simulation: sensor/simulation fusion, ISBN:1-4244-0501-7, Monterey, California, United States, pp. 2117-2124 (2006)

    Douglas, C.C.; Beezley, J.D.; Coen, J.L.; Li, D.; Li, W.; Mandel, A.K.; Mandel, J.A.; Qin, G.; Vodacek, A., Demonstrating the Validity of a Wildfire DDDAS, Proceedings of the International Conference on Computational Science, University of Reading, International Conference on Computational Science - ICCS 2006, 3993, doi:10.1007/11758532_69, Reading, England, United Kingdom, pp. 522-529 (2006)

    Raqueno, R.V.; Raqueno, N.G.; Weidemann, A.D.; Effler, S.W.; Perkins, M.G.; Vodacek, A.; Schott, J.R.; Philpot, W.D.; Kim, M., Megacollect 2004: hyperspectral collection experiment over the waters of the Rochester Embayment., Proceedings of the SPIE, SPIE Defense and Security, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, Spectral Phenomenology and Collection Experiments, 5806, Orlando, Florida, United States, pp. 566-577, March (2005)

    Mandel, J.A.; Bennethum, L.S.; Chen, M.; Coen, J.L.; Douglas, C.C.; Franca, L.P.; Johns, C.J.; Kim, M.; Knyazev, A.V.; Kulkarni, V.; Qin, G.; Vodacek, A.; Wu, J.; Zhao, W.; Zornes, A., Towards a dynamic data driven application system for wildfire simulation., roceedings of the International Conference on Computational Science, Emory University, International Conference on Computational Science - ICCS 2005, 3515, doi:10.1007/11428848_82, Atlanta, Georgia, United States, pp. 632-639 (2005)

    Ononye, A.E.; Vodacek, A.; Kremens, R.L., Fire temperature retrieval using constrained spectral unmixing and emissivity estimation., SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, 5806, pp. 352-360 (2005)

    Vodacek, A.; Kremens, R.L.; Ononye, A.E.; Faulring, J.W., Remote image and field data collection for a dynamic fire modeling system, Proc. 10th Forest Service Remote Sensing Applications Conference, USDA, Remote Sensing for Field Users, Salt Lake City, UT, April 2004, J.D. Greer, Ed., ASPRS, ISBN 1-57083-075-4, United States (2005)

    Ononye, A.E.; Vodacek, A.; Kremens, R.L., Improved fire temperature estimation using constrained spectral unmixing, Proc. 10th Forest Service Remote Sensing Applications Conf., USDA, Remote Sensing for Field Users, Salt Lake City, UT, April 2004, J.D. Greer, Ed., ASPRS, ISBN 1-57083-075-4, United States (2005)

    Li, Y.; Vodacek, A.; Kremens, R.L.; Ononye, A.E., A hybrid contextual fire detection algorithm using MODIS Imagery, Proc. 10th Forest Service Remote Sensing Applications Conference, USDA, Remote Sensing for Field Users, Salt Lake City, UT, April 2004, J.D. Greer, Ed., ASPRS, ISBN 1-57083-075-4, United States (2005)

    Wang, Z.; Vodacek, A.; Kremens, R.L.; Ononye, A.E., Modeling synthetic remote sensing scenes containing wildland fire, 10th Forest Service Remote Sensing Applications Conf., USDA, Remote Sensing for Field Users, Salt Lake City, Utah, April 2004, J.D. Greer, Ed., ASPRS, ISBN 1-57083-075-4, United States (2005)

    Vodacek, A.; Ononye, A.E.; Wang, Z.; Li, Y., Automatic estimation of direction of propagation of fire from aerial imagery, Proc. 10th Forest Service Remote Sensing Applications Conf., USDA, Remote Sensing for Field Users, Salt Lake City, UT, April 2004, J.D. Greer, Ed., ASPRS, ISBN 1-57083-075-4, United States (2005)

    Ononye, A.E.; Vodacek, A.; Li, Y.; Wang, Z., Mapping of active fire area by image gradient techniques, Proc. 10th Forest Service Remote Sensing Applications Conf., USDA, Remote Sensing for Field Users, Salt Lake City, UT, April 2004, J.D. Greer, Ed., ASPRS, ISBN 1-57083-075-4, United States (2005)

    Wang, Z.; Vodacek, A.; Kremens, R.L.; Ononye, A.E., Modeling wildland fire with DIRSIG., Proceedings of the SPIE, SPIE Defense and Security, Visual Information Processing XIII, Poster Session, 5438, Orlando, Florida, United States, pp. 290-296, April (2004)

    Mandel, J.A.; Chen, M.; Franca, L.P.; Johns, C.J.; Puhalskii, A.; Coen, J.L.; Douglas, C.C.; Kremens, R.L.; Vodacek, A.; Zhao, W., A Note on Dynamic Data Driven Wildfire Modeling., Computational Science - ICCS 2004, International Conference on Computational Science, ICCS 2004, 3038, Krakow, Malopolskie, Poland, pp. 725-731 (2004)

    Li, Y.; Vodacek, A.; Kremens, R.L.; Ononye, A.E., A new algorithm for global forest fire detection using multispectral images., Proceedings of the SPIE, SPIE AeroSense, Targets and Backgrounds IX: Characterization and Representation, Poster Session, 5075, Orlando, Florida, United States, pp. 367-377, April (2003)

    Ononye, A.E.; Vodacek, A.; Kremens, R.L.; Li, Y.; Merritt, D., Empirical testing of subpixel detection of fire., Proceedings of the SPIE, SPIE AeroSense, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, Spectral Applications and Methodologies II, 5093, Orlando, Florida, United States, pp. 343-352, April (2003)

    Raqueno, R.V.; Raqueno, N.G.; Fairbanks, R.R.; Schott, J.R.; Vodacek, A.; Hamel, J., Hyperspectral analysis tools for the multiparameter inversion of water quality factors in coastal regions., Proceedings of the SPIE, SPIE Annual Meeting, Imaging Spectrometry VI, Scene Phenomenology, 4132, San Diego, California, United States, pp. 323-333, August (2000)

    Fairbanks, R.R.; Schott, J.R.; Vodacek, A., The impact of clouds on SeaWiFS derived water quality., Proceedings of the IEEE, IEEE, International Geoscience and Remote Sensing Symposium (IGARSS) 2000, 1, Honolulu, Hawaii, United States, pp. 252-254 (2000)

    Vodacek, A.; Blough, N.V., Seasonal variation of CDOM in the Middle Atlantic Bight: terrestrial inputs and photooxidation., Proceedings of the SPIE, SPIE, Ocean Optics XIII, Optical Properties, 2963, Halifax, Nova Scotia, Canada, pp. 132-137 (1997)

    Vodacek, A., Observation of DOM composition by synchronous fluorescence spectroscopy, ISPRS, 5th International Colloquium on Physical Measurements and Signatures in Remote Sensing, 2, Courchevel, Centre, France, pp. 763-766 (1991)

    Vodacek, A.; Vertucci, F.A., The remote sensing of lake acidification using laser fluorosensing, ASPRS, 51st annual ASP meeting, 2, Washington, District of Columbia, United States, pp. 793-802 (1985)

    Vodacek, A.; Philpot, W.D., Use of induced fluorescence measurements to assess aluminum- organic interactions in acidified lakes., ASPRS, 51st annual ASP meeting, 2, Washington, District of Columbia, United States, pp. 460-469 (1985)


OTHER

    Vodacek, A., 2011 Comp Exam questions, (2012)

    Arnold, G.; Carlock, B.; Harris, M.; Romney, A.; Zollweg, J.; Vodacek, A.; Tomaszewski, B., GIS Modeling of Social Vulnerability in Burkina Faso, ArcUser. 15(1): 20-23, (2012)

    Vodacek, A., 2010 Comp Exam Questions, (2011)

    Vodacek, A.; Ebinger, C.; Hecky, R., Integrated Volcanologic, Tectonic, and Biogeochemical, and Geohazard Assessment of Lake Kivu., (2010)

    Vodacek, A., 2009 Comp Exam Questions, (2009)

    Fairbanks, R.R.; Schott, J.R.; Vodacek, A.; Rhody, H.E.; Brown, S.D., HydroMOD: A water quality remote sensing prediction tool, (1999)


CONFERENCE PRESENTATION (NO PROCEEDINGS)

    Basnet, B.; Vodacek, A., High resolution land cover classification using object-based image analysis techniques, ASPRS, 2014 Annual Conference, Louisville, Kentucky, United States (2014)

    Tomaszewski, B.; Vodacek, A.; Rwanyiziri, G.; Sehene, J., Promoting spatial thinking in natural resource management through community mapping: the case of urban and rural secondary schools of Rwanda, GSDI Association, Global Geospatial Conference 2013, Addis Ababa, Addis Ababa, Ethiopia, November (2013)

    van Aardt, J.A.; McKeown, D.; Vodacek, A.; Duvvuri, S.; Pillai, A.; Renschler, C.; Faulring, J.W.; Bischoff, H.; Collins, H.; Boyd, D., Information Products Laboratory for Emergency Response: Rapid Turnaround Geospatial Disaster Management Products with Fire and Earthquake Response as Case Studies, • American Society for Photogrammetric Engineering and Remote Sensing (ASPRS), ASPRS 2010 Annual Conference, San Diego, CA, USA, April (2010)

    Vodacek, A.; Kremens, R.L.; Fordham, A.J.; Luisi, D.; Schott, J.R.; VanGorden, S.C., Spectral features of biomass fires, SPIE, SPIE Northeast Regional Conference on Optoelectronic, Photonics, and Imaging, Rochester, New York, United States, April (2001)

    Raqueno, R.V.; Schott, J.R.; Vodacek, A.; Fairbanks, R.R.; Hamel, J., Hyperspectral analysis tools for the multiparameter inversion of water quality factors in coastal regions, Great Lakes Research Consortium, Student Faculty Conference, Syracuse, New York, United States, March (2000)

    Fairbanks, R.R.; Hamel, J.; Raqueno, R.V.; Schott, J.R.; Vodacek, A.; Simmons, R.E., HYDROMOD: a tool for water quality monitoring with hyperspectral imaging, Great Lakes Research Consortium, Student Faculty Conference, Syracuse, New York, United States, March (2000)


POSTERS

    Mathews, A.A.; Tomaszewski, B.M.; Szarzynski, J.; Vodacek, A., Disaster Risk Reduction Spatial Thinking: A Serious Games Approach, Information Systems for Crisis Response and Management, ISCRAM 2014, State College, Pennsylvania, United States (2014)