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204E Aiken Center
Rubenstein School
University of Vermont
81 Carrigan Drive
Burlington, VT 05405
Current research involves the application of advanced object-oriented classification techniques (eCognition) to very high resolution (0.16m) digital orthophotography, QuickBird and IKONOS satellite imagery, and LIDAR data to address issues in stormwater management, water quality (fecal contamination of rivers and streams and algal blooms in Lake Champlain), and stream geomorphology. Responsibilities include instruction of undergraduate and graduate courses in GIS, remote sensing (including digital image processing), and global environmental assessment.Program Coordinator for the UVM-wide Geospatial Technologies Minor initiated in 2007.
Ph.D., Department of Geosciences, specializing in ecological biogeography, Oregon State University, Corvallis, Oregon
M.A., Geography, San Jose State University, San Jose, California
B.A., Social Science (Geography option), San Jose State University, San Jose, California
Applying advanced remote sensing, image processing, and GIS to environmental issues
Lance E. Besaw, Donna M. Rizzo, Michael Kline, Kristen L. Underwood, Jeffrey J. Doris, Leslie A. Morrissey, and Keith Pelletier, 2009, Stream Classification using Hierarchical Artificial Neural Networks: A Fluvial Hazard Management Tool, Journal of Hydrology, 373:34-43.
Vanderbilt, V. C., G. L. Perry, G. P. Livingston, S. L. Ustin, M, C. Diaz Barrios, F. M. Breon, M. M. Leroy, J. Y. Balois, L. A. Morrissey, S. T. Shewchuk, J. A. Stearn, S. E. Zedler, J. L. Syder, S. Bouffies, M. Herman, 2002, Inundation Discriminated using Sun Glint, IEEE Transactions on Geoscience and Remote Sensing, 40:1279-1287.
Morrissey L.A., G. P. Livingston, and S. C. Zoltai, Influences of Fire and Climate on Patterns of Carbon Emissions in Boreal Peatlands, Chapter in Fire, Climate Change, and Carbon Cycling in the Boreal Forest, (eds. E. Kasischke and B. Stocks), John Wiley and Sons, New York, 2000, pg. 423-439.
