Teaching Responsibilities

• FOR 4214 Forest Photogrammetry & Spatial Data Processing
• FOR 4214 Forest Photogrammetry & Spatial Data Processing Lab
• FOR 5254 Remote Sensing of Natural Resources
• FOR 5104 Interdisciplinary Seminar in Remote Sensing and GIS

Selected Research Activities

• Decision Support for Loblolly Pine Carbon Management: From Research to Operations. NASA

  To evaluate, verify and validate, and benchmark solutions that integrate Earth science observations and predictions resulting from NASA research into existing forest management decision support tools. 3/15/06 to 3/14/09; Wynne, R.H., Potter, C.S., Genovese, V.B., Seiler, J.R., Fox, T.R., Amateis, R.L., Radtke,  P.J., Liu, X., Sampson, D.A., Prisley, S.P., and others. NASA  $1,015,675

• Remote Sensing for Precision Silviculture - 1/1/06 to present; Wynne, R.H., Fox, T.R., Allen, F.L. Forest Nutrition Cooperative    $79,691

• StateView Program Development and Operations for the State of Virginia - 4/1/04 to present; Campbell, J.B., Wynne, R.H., McGee, J.A. AmericaView Inc. (USGS) $352,500

• Digital Soil Mapping Operational Initiative – Mojave Desert Region - 9/20/07 to 11/30/08; Galbraith, J.M, Wynne, R.H. USDA NRCS $46,589

Recent Peer Reviewed Articles

• Browder, J.O., M.A. Pedlowski, R. Walker, R.H. Wynne, P.M. Summers, A. Abad, N. Becerra-Cordoba, and J. Mil-Homens, 2008. Revisiting theories of frontier expansion in the Brazilian Amazon: A survey of the colonist farming population in Rondônia's post-frontier, 1992-2002. World Development 36(8):1469-1492.
• Rotz, J.D., A.O. Abaye, R.H. Wynne, E.B. Rayburn, G. Scaglia , and R.D. Phillips, 2008. Assessment of terrestrial remote sensing as a viable means to measure productive ground cover. Rangeland Ecology and Management 61(2):245-248.
• Sampson, D. A., R. H. Wynne, and J. R. Seiler, 2008. Edaphic and climatic effects on forest stand development, net primary production, and net ecosystem productivity simulated for Coastal Plain loblolly pine in Virginia. Journal of Geophysical Research 113, G01003, doi:10.1029/2006JG000270.

• Van Aardt, J.A.N., R.H. Wynne, and J.A. Scrivani, 2008. Lidar-based mapping of forest volume and biomass by taxonomic group using structurally homogeneous segments. Photogrammetric Engineering & Remote Sensing 74(8):1033-1044.

• Budreski, K.A., R.H. Wynne, J.O. Browder, and J.B. Campbell, 2007. Comparison of segment and pixel-based non-parametric land cover classification in the Brazilian Amazon using multitemporal Landsat TM/ETM+ imagery. Photogrammetric Engineering & Remote Sensing 73(7):813-827.
• Phillips, R.D., L.T. Watson, and R.H. Wynne, 2007. Hybrid image classification and parameter selection using a shared memory parallel algorithm. Computers and Geosciences 33:875-897.
• Van Aardt, J.A.N., and R.H. Wynne, 2007. Examining pine spectral separability using hyperspectral data from an airborne sensor: an extension of field-based results. International Journal of Remote Sensing 28:431-436.
• Wynne, R.H., K.A. Joseph, J.O. Browder, and P.E. Summers, 2007. Comparing farmer-based and satellite-derived deforestation estimates in the Amazon basin using a hybrid classifier. International Journal of Remote Sensing 28(6):1299-1315.
• Musy, R.F., R.H. Wynne, C.E. Blinn, J.A. Scrivani, and R.E. McRoberts, 2006. Automated forest area estimation via iterative guided spectral class rejection. Photogrammetric Engineering & Remote Sensing 72:949-960.
• Van Aardt, J.A.N., R.H. Wynne, and R.G. Oderwald, 2006. Forest volume and biomass estimation using small-footprint lidar-distributional parameters on a per-segment basis. Forest Science 52:636-649.
• Wynne, R.H., 2006. Lidar remote sensing of forest resources at the scale of management. Photogrammetric Engineering & Remote Sensing 72(12):1310-1314.

• Bortolot, Z.J., and R.H. Wynne, 2005. Determining forest biomass in small footprint LIDAR scenes: an individual tree-based approach that incorporates training data. ISPRS Journal of Photogrammetry & Remote Sensing 59:342– 360.

• Browder, J.O, R.H. Wynne, and M.A. Pedlowski, 2005. Agroforestry diffusion and secondary forest regeneration in the Brazilian Amazon: Further findings from the Rondonia Agroforestry Pilot Project (1992-2002). Agroforestry Systems 65:99-111.

• Popescu, S.C., and R.H. Wynne, 2004. Seeing the trees in the forest: Using lidar and multispectral data fusion with local filtering and variable window size for estimating tree height. Photogrammetric Engineering & Remote Sensing 70(5):589-604.
• Popescu, S.C., R.H. Wynne, and J.A. Scrivani, 2004. Fusion of small-footprint lidar and multispectral data to estimate plot-level volume and biomass in deciduous and pine forests in Virginia, USA. Forest Science 50(4):551-565.
• Winn, M.F., R.H. Wynne, P.A. Araman, and J.E. Baumgras, 2004. ALOG: A Spreadsheet-Based Program for Generating Artificial Logs. Forest Products Journal 54(1):62-66.
• Bortolot, Z.J., and R.H. Wynne, 2003. A means of spectroscopically determining the nitrogen content of green tree leaves measured at the canopy level that requires no in situ nitrogen data. International Journal of Remote Sensing 24(3):619-624.
• Popescu, S.C., R.H. Wynne, and R.F. Nelson, 2003. Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass. Canadian Journal of Remote Sensing 29(5):564-577.

Professional Achievements

• NASA New Investigator, 2001

• Third place in Geospatial Solutions Fourth Annual Applications Contest, 2003

• Course Creation Fellow (with co-author Steven Sader) for Forest Monitoring and Management course, Institute for Advanced Education in Geospatial Sciences, 2003-2006

• First Honorable Mention for the 2005 American Society for Photogrammetry and Remote Sensing Talbert Abrams Award for best 2004 article in Photogrammetric Engineering & Remote Sensing

• Second Place, American Society for Photogrammetry and Remote Sensing Leica Geosystems Award for Best Scientific Paper in Remote Sensing in 2006.