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

• Remote Sensing for Forest Carbon Management. NASA

  To improve the integration of remote sensing into decision support systems used for forest carbon monitoring, modeling, and management.

• 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.

Recent Refereed Journal Articles

• Joseph, K.A., R.H. Wynne, J.O. Browder, and J.B. Campbell, in press. 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.
• Van Aardt, J.A.N., R.H. Wynne, and R.G. Oderwald, in press. Object-oriented forest volume and biomass estimation using small-footprint lidar height and intensity distributions. Forest Science.
• 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 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.
• 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.
• 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. Inter. Jour. of Remote Sensing 24:619-624.
• 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.
• Olsson, H., and R.H. Wynne, 2004. Forestry. Section 7.3 of International Academy of Astronautics Position Paper on Cost Effective Earth Observation Missions. (Sandau, editor), pp. 73-76.
• 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. Photo. Eng. & Remote Sensing 70:589-604.
• 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. Can. Jour. of Rem. Sens. 29:564-577.
• 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. For. Sci. 50:551-565.
• 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 54:62-66.
• Wynne, R.H. 2004. Forest mensuration with remote sensing: A retrospective and a vision for the future. Southern Forest Science: Past, Present, and Future. U.S. Government Printing Office, pp. 109-116.
• Wynne, R.H., M.S.M. Touré, N. Sengupta, and A. Ballo. 2005. Land use changes in the Madiama Commune. Conflict, Social Capital, and Managing Natural Resources (K.M. Moore, editor), CAB International, pp. 71-75.

Professional Achievements

• NASA New Investigator, 2001
• Member, American Association for the Advancement of Science
• Member, American Society for Photogrammetry and Remote Sensing
• Member, Ecological Society of America
• Member, Sigma Xi, Secretary, Virginia Tech Chapter, 2003-2004
• Member, Society of American Foresters
• Member, Virginia Academy of Sciences
• Member, IEEE Geoscience and Remote Sensing Society
• Member, Virginia Forestry Association
• 1999 Best Conference Paper, Wildlife Sessions (Game), Southeastern Section of The Wildlife Society. Schairer, G. L., R. H. Wynne, M.L. Fies, and S.D. Klopfer. Predicting landscape quality for Northern Bobwhite from classified Landsat imagery.
• Guest Associate Editor, Forest Science, 2000-present for occasional remote sensing manuscripts; special issue on forestry remote sensing applications published June, 2003.
• Honored for exceptional service to the Commonwealth of Virginia in 2002 for leadership in and active support of the Virginia Base Mapping Program
• DOE Outstanding Achievement Award for STTR Phase I project “System for the Remote Measurement of Carbon Sequestration.”
• Third place in Geospatial Solutions Fourth Annual Applications Contest, 2003
• Popescu, S.C., P.R. Radtke, and R.H. Wynne, 2003. Forest measurements with airborne and ground-based laser scanning. Geospatial Solutions (August).
• Course Creation Fellow (with co-author Steven Sader) for Forest Monitoring and Management course, Institute for Advanced Education in Geospatial Sciences, 2003-2004.
• 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.
• 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.