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Dr. Jason Tullis, Assistant Professor of Geosciences

Dr. Jason Tullis
Assistant Professor of Geosciences
Department of Geosciences

J. William Fulbright College of Arts & Sciences   

                                                                          

007 Ozark Hall
Phone: 479-575-3159
FAX: 479-575-3469
jatullis@uark.edu


Degrees:

Teaching Areas:

Professor Tullis currently teaches courses in Geographic Information Systems (GIS), Biogeography, Reseach Methods in Geography, Remote Sensing, and Spatial Technology

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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

Central America

Republic of South Africa

Earth

Mars