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Scott A. Pugh

Forest Inventory & Analysis
410 MacInnes Drive
Houghton, MI 49931-1134
United States
906-482-6303 x17
Current Research
I am combining my experience as a forester and database and software developer to create business intelligence tools as Web dashboards and data visualizations. I am creating interactive tools that allow the public to explore the status and trends of forest resources. This work includes researching enhancements for reporting estimates, measures of precision, and comparisons among estimates from Forest Inventory & Analysis (FIA) data. I am a member of a FIA team that provides development, training, and support for FIA data and data mining tools.
Research Interest

• Forest health

• Biometrics

• Geographic information systems, image processing, and remote sensing

• Software development

• Dashboard and data visualization development

• Database quality control and assurance

Why This Research Is Important
Monitoring the status and trends of forest resources and disseminating this knowledge to the public is in everyone's best interest. The benefits provided by forests are far reaching and vary with the ever changing forest conditions.
  • University of New Hampshire, M.S. Forestry, Applying Spatial Autocorrelation Analysis to Evaluate Error in New England Forest Cover Type Maps Derived from Landsat Thematic Mapper Data, 1997
  • Michigan Technological University, B.S. Forestry, Biometrics, Silviculture, GIS, Remote Sensing et al., 1993
Professional Organizations
  • Full Member,  Society of American Foresters (SAF),  1996 - Current
  • Full Member,  American Society for Photogrammetry & Remote Sensing,  1994 - 2000
Featured Publications
Other Publications
Citations of Non-Forest Service Publications
  • Pugh, Scott A.; Turner, Jeffery A.; Burrill, Elizabeth A.; David, Winnie. 2018. The Forest Inventory and Analysis Database: population estimation user guide (Edition: November, 2018). U.S. Department of Agriculture, Forest Service. p. [Online]. Available at web address: