Stephen Smith

Off-Campus Extension activities involving the application of remote sensing, geographic information systems (GIS), and global positioning systems (GPS) technologies to cultural and environmental issues. Activities include hands-on consulting with individuals and groups, managing applied research projects, offering small technical workshops, giving informational presentations, and developing instructional videos delivered via the web. Stakeholders have included tribal groups, state agencies and programs, town and county staff, and non-governmental organizations. The IRIS GIS Program supplies state-of-the-art software, licensing, and technical support to 28 CCE county organizations. At present, this program provides 91 software licenses at no cost to the counties. Geospatial support is provided daily to CCE county organizations in the form of telephone support, face-to-face consultations, web-based consultations, and scheduled webinars.

On-Campus Extension Extension activities involve the application of remote sensing, geographic information systems (GIS), and global positioning systems (GPS) technologies to support is provided daily to faculty, staff, and students of the University. Geospatial support provided through class lectures, face-to-face project consultations, and via telephone, email, and web-based consultations. IRIS manages the ESRI/SUNY (GIS) site licenses (467) for CALS and provides support to the 16 departments involved.

Selected journal articles

• Findlay, S. E., Strayer, D. L., Smith, S. D., & Curri, N. (2014). Magnitude and Patterns of Change in Submerged Aquatic Vegetation of the Tidal Freshwater Hudson River. Estuaries and Coasts.
• Rivas, A. L., Fasina, F. O., Hammond, J. M., Smith, S. D., Hoogesteijn, A. L., Febles, J. L., Hittner, J. B., & Perkins, D. J. (2012). Epidemic Protection Zones: Centered on Cases or Based on Connectivity? Transboundary and Emerging Diseases. 59:6.
• Rivas, A. L., Anderson, K. L., Lyman, R., Smith, S. D., & Schwager, S. J. (2008). Proof of concept of a method that assesses the spread of microbial infections with spatially explicit and non-spatially explicit data. International Journal of Health Geographics. 7:13.
• Rivas, A. L., Chaffer, M., Chowell, G., Elad, D., Koren, O., Smith, S. D., & Schwager, S. J. (2008). Optimization of Epidemiologic Interventions: Evaluation of spatial and non-spatial methods that identify Johne’s disease-infected subpopulations targeted for intervention. Israel Journal of Veterinary Medicine. 63:17.
• Laba, M., Downs, R., Smith, S. D., Welsh, S., Neider, C., White, S., Richmond, M. E., Philpot, W. D., & Baveye, P. (2008). Mapping invasive wetland plants in the Hudson River National Estuarine Research Reserve using quickbird satellite imagery. Remote Sensing of Environment. 112:286-300.

Book Chapters

• Neider, W. C., Hoskins, S. B., Smith, S. D., & Findlay, S. E. (2009). Management Distribution and Spatial Change of Hudson River Estuary Submerged Aquatic Vegetation: Implications for Coastal Management and Natural Resource Protection. p. Chapter 11 Remote Sensing and Geospatial Technologies for Coastal Ecosystem Assessment and, Lecture Notes in Geoinformation and Cartography X. Yang (ed.), Springer-Verlag, Berlin Heidelberg, Germany.

Research Reports

• Laba, M., Smith, S. D., Richmond, M. E., Barnaba, E. M., Downs, R., Hoskins, S. B., Welsh, S., & Klinger, D. (2006). Discriminating and mapping invasive plant species using advanced remote sensing technology. NOAA/UNH Cooperative Institute for Coastal and Estuarine Environmental Technology, NOAA Grant #NA03NOS4190195, Durham, NH.