Jason A. Tullis

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Professor / Department Chair

University of Arkansas

Also affiliated: University of South Carolina (2003–2005)

13 h-index 41 pubs 1,242 cited

Research Areas

Biomedical Subjects

Links

ORCID Research Group

OverviewAI-generated summary

Jason A. Tullis is a professor at the University of Arkansas at Fayetteville. His research focuses on the application of machine learning and artificial intelligence to geoscientific data, particularly in agricultural and environmental contexts. He has investigated methods for object-based change detection using correlation image analysis and image segmentation, as well as the synergistic use of Lidar and color aerial photography for mapping urban imperviousness. Tullis has also explored the impact of Lidar post-spacing on digital elevation model accuracy and flood zone delineation, and employed remote sensing and GIS-assisted approaches for landscape epidemiology, such as in the study of West Nile virus.

His work includes the development of cyberinfrastructure for managing geoscientific AI workflows, exemplified by the "Geoweaver" project. Tullis also contributes to discussions on ethical replicability and reproducibility in GIScience. His scholarship metrics include an h-index of 13, with 41 total publications and 1,240 total citations. He has collaborated with researchers including Jackson Cothren, Malcolm Williamson, Lawton Lanier Nalley, and Harrison Smith, all from the University of Arkansas at Fayetteville.

Metrics

h-index: 13
Publications: 41
Citations: 1,242

Positions

Professor / Department Chair 2017–present

University of Arkansas Department of Geosciences ORCID

Selected Publications

Harvesting insights: interpretable machine learning to understand environmental drivers of U.S. maize and soybean yield (2026)

Scientific Reports 4 citations DOI OpenAlex
Spatiotemporal Characterization of Soybean Phenology in the Arkansas Delta Region Using Multi-Source Remotely Sensed Data from 2002 to 2020 (2025)

Papers in Applied Geography DOI OpenAlex
Framework for Mapping Sublimation Features on Mars’ South Polar Cap Using Object-Based Image Analysis (2025)

Remote Sensing DOI OpenAlex
A review of cyberinfrastructure for machine learning and big data in the geosciences (2022)

Geological Society of America eBooks 3 citations DOI OpenAlex
Context for Reproducibility and Replicability in Geospatial Unmanned Aircraft Systems (2022)

Remote Sensing 6 citations DOI OpenAlex
Challenges and Limitations of Geospatial Data and Analyses in the Context of COVID-19 (2021)

Human dynamics in smart cities 4 citations DOI OpenAlex
Geoweaver: Connecting Dots for Artificial Intelligence in Geoscience (2020)

AGU Fall Meeting Abstracts OpenAlex
Geoweaver: Advanced Cyberinfrastructure for Managing Hybrid Geoscientific AI Workflows (2020)

ISPRS International Journal of Geo-Information 36 citations DOI OpenAlex
Geographic information system (GIS)-based image analysis for assessing growth of Physarum polycephalum on a solid medium (2015)

Fungal Biology and Biotechnology 3 citations DOI OpenAlex
Deciduous Forest Structure Estimated with LIDAR-Optimized Spectral Remote Sensing (2013)

Remote Sensing 10 citations DOI OpenAlex
A geological characterization of Ligeia Mare in the northern polar region of Titan (2013)

Planetary and Space Science 23 citations DOI OpenAlex
A remote sensing and GIS-assisted landscape epidemiology approach to West Nile virus (2013)

Applied Geography 48 citations DOI OpenAlex
Spatial Scale Management Experiments Using Optical Aerial Imagery and LIDAR Data Synergy (2010)

GIScience & Remote Sensing 15 citations DOI OpenAlex
Per-segment Aboveground Forest Biomass Estimation Using LIDAR-Derived Height Percentile Statistics (2009)

GIScience & Remote Sensing 22 citations DOI OpenAlex
Modeling red oak borer, Enaphalodes rufulus (Haldeman), damage using in situ and ancillary landscape data (2007)

Forest Ecology and Management 9 citations DOI OpenAlex