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Dr. Jason Tullis 7 Ozark Hall |
Degrees:
- Ph.D., University of South Carolina, 2003
- M.S., University of South Carolina, 2001
- B.S., Brigham Young University, 1999
Teaching Areas:
Professor Tullis currently teaches various courses in geomatics or GIScience (geographic information science) including Principles of Remote Sensing (Fall), Vector GIS (Spring), Remote Sensing of Natural Resources (Spring even years), and GIScience in Biogeography (Spring odd years).
Research Interests:
United States
- “Remote Sensing-assisted Decision Support for Red Oak Borer Hazard Response”
- “LIDAR-derived Assessment of Deciduous Forest Biomass in the Ozark Mountains”
- “Arkansas Land-use / Land-cover Mapping with Machine Learning Decision Trees”
- “The Distribution of Cross Timbers in Western Arkansas”
- “Hurricane Storm Surge Prediction as a Function of DEM Input”
Latin America
- “Yearly Extraction of Central America’s Land Cover for Carbon Flux Monitoring”
- “Search for Latin American Ecosystem Crosswalks”
Extraterrestrial
- “Search for Martian Sinkholes”
Professional Biography:
Jason A. Tullis is an Assistant Professor in the Department of Geosciences and is affiliated with the Center for Advanced Spatial Technologies (CAST) and the Arkansas Center for Space and Planetary Sciences. He studied geographic information systems (GIS) and remote sensing at the following institutions: BS (1999), Brigham Young University, 1999; MS (2001), Ph.D. (2003), University of South Carolina. Dr. Tullis’ research interests include 1) management of spatial scale, 2) integration of multi-source remote sensor, in situ, and ancillary data, and 3) vegetation biophysical remote sensing. He has published in Photogrammetric Engineering & Remote Sensing, Geography Compass, Geocarto International, GIScience & Remote Sensing, International Journal of Remote Sensing, and Forest Ecology & Management. He has contributed to book chapters in Using Geospatial Technologies in Urban Environments (2005), Introductory Digital Image Processing (3rd Ed., 2005), and Manual of Remote Sensing: Platforms and Sensors (in press).