Petr Votava

Research Interests

• Satellite data processing, software engineering, operating systems and architecture, parallel processing, sensor web.
• Data mining/anomaly detection, semantic web, information extraction, natural language processing.

Projects

• Terrestrial Observation and Prediction System (TOPS)
• Anomaly Detection and Analysis Framework for Terrestrial Observation and Prediction System
• Harnessing the Sensor Web through Model-based Observation
• Extending Web Access to NASA Data and Model Results

Education and Training

• University of California at Berkeley, Project Management Certificate.
• University of Montana, Missoula, MT, M.S. in Computer Science.
• University of Montana, Missoula, MT, B.S. in Computer Science.
• Highline Community College, Seattle, WA, A.A. in Computer Science.

Publications

Votava, P., K. Golden, R. Nemani. Planning for Earth Science Data Processing. In proceedings of International Symposium on Environmental Software Systems (ISESS) 2004.

Votava, P., R. Nemani, D. Cooke, H. Hernandez, C. Ma. Parallel Distributed Application Framework for Earth Science Data Processing. In proceedings of ScanGIS 2003.

Votava et al. Distributed Application Framework for Earth-Science Data Processing. In proceedings of IEEE IGARSS 2002, June 2002, Toronto, Canada.

Feihua, Y., M.A. White, A.R. Michaelis, K. Ichii, H. Hashimoto, P. Votava, A. Zhu and R. Nemani. 2006. Prediction of continental scale evapotranspiration by combining MODIS and AmeriFlux data through support vector machine. IEEE Trans. Geosci. & Remote Sensing, 44(11): 3452-3462.

Myneni, R. B., Yang, W., Nemani, R. R., Huete, A. R., Dickinson, R. E., Knyazikhin, Y., Didan, K., Fu, R., Negron Juarez, R. I., Saatchi, S. S., Hashimoto, H., Ichii, K., Shabanov, N. V., Tan, B., Ratana, P., Privette, J. L., Morisette, J. T., Vermote E. F., Roy, D. P., Wolfe, R. E., Friedl, M. A., Running, S. W., Votava, P., El-Saleous, N., Devadiga, S., Su, Y., and Salomonson, V. V., Large seasonal swings in leaf area of Amazon rainforests. Proceedings of National Academy of Sciences of the United States America, 104(12), pp. 4820-4823, 2007

Yang, F., Ichii, K., White, M.A., Hashimoto, H., Michaelis, A.R., Votava, P., Zhu, A.-X., Huete, A., Running, S.W., Nemani, R.R. 2007. Developing a continental-scale measure of gross primary production by combining MODIS and AmeriFlux data through Support Vector Machine approach, Remote Sensing of Environment, 110 (1), pp. 109-122.

Nemani,RR., Petr Votava, Andrew Michaelis, Michael White, Forrest Melton, Joseph Coughlan, Keith Golden, Hirofumi Hashimoto, Kazuhito Ichii, Lee Johnson, Matt Jolly, Cristina Milesi, Ranga Myneni, Lars Pierce, Steve Running, Christina Tague, and Wanlin Pang. 2007. Remote Sensing methodologies for ecosystem management. In: Food and Water Security" Ed: U. Aswathanarayana (India), Taylor amp; Francis Book Series, London, pg3-21.

Ichii, K., White, M.A., Votava, P., Michaelis, A., Nemani, R.R. 2008. Evaluation of snow models in terrestrial biosphere models using ground observation and satellite data: Impact on terrestrial ecosystem processes, Hydrological Processes, 22 (3), pp. 347-355.