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Dr. Jason Tullis 007 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 courses in Geographic Information Systems (GIS), Biogeography, Reseach Methods in Geography, Remote Sensing, and Spatial Technology
Job Duties:
Academic Interests and Accomplishments:
Dr. Tullis is an Assistant Professor in the Department of Geosciences and is affiliated with the Center for Advanced Spatial Technologies (CAST). In the late 1990s he worked as a biogeographer for the Uinta National Forest where he was trained in photogrammetry, fire ecology, and field surveying techniques. While continuing his education he worked as a GIS/remote sensing design analyst where he gained experience in digital image processing, GIS programming, and in situ surveying in conjunction with remote sensor data collection missions. Dr. Tullis has taught remote sensing and GIS modeling courses including Principles of Remote Sensing, Remote Sensing of Natural Resources, and Introduction to Raster GIS. He is currently co-authoring A Geospatial Primer, an online course for University of Mississippi’s Institute for Advanced Education in Geospatial Sciences (IAEGS). Dr. Tullis is conducting research in several areas, including: a) prediction of storm surge inundation boundaries using SLOSH modeling and LIDAR-derived DEMs, b) remote sensing-assisted spatial decision support system (SDSS) design for addressing red oak decline, c) predicted changes in temperate grassland productivity with global climate change, and d) automated detection of land cover change in Arkansas, Central America, and the Republic of South Africa. Dr. Tullis has published his work in Photogrammetric Engineering & Remote Sensing and in Geocarto International. He has contributed to book chapters in Geospatial Technologies in Urban Environments (2005) and in Introductory Digital Image Processing (3rd Ed., 2005).
Countries & Research:
United States
- “Development of Geospatial Techniques for the Prediction and Assessment of Red Oak Decline Due to Red Oak Borer”
- “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: Exploring a LIDAR-derived Alternate in Beaufort County, SC”
Central America
- “An Enterprise Geospatial Architecture and Development of Automated Analysis Methodologies for Central American Carbon Sequestration Analysis”
Republic of South Africa
- “Remote Sensing-assisted Validation of Registered Agricultural Water Use for the Republic of South Africa Department of Water Affairs and Forestry Decision Support System”
Earth
- “Predicted Changes in Temperate Grassland Productivity with Global Climate Change”
Mars
- “Search for Martian Sinkholes”