Geosystems Research Institute
Established in 2000, the Geosystems Research Institute is a collaborative of academic scientists, engineers, and government and industry stakeholders active in conducting research to advance knowledge and practice in earth and it's systems to improve policy and public awareness.
News
MSU's Burch Moves to ORED as Associate Vice President
August 25, 2023 - Mississippi ...
Pricope Joins MSU as Associate Vice President for Research
August 25, 2023 - Narcisa ...
2023 Hypoxia Monitoring Results Featured in Press Releases and Media Event
August 8, 2023 - Scientists ...Research
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Maritime Domain Awareness
Maritime Domain Awarenes Using Networked Unmanned System with Integrated High Resolution Sensors
Maritime Domain Awarenes Using Networked Unmanned System with Integrated High Resolution Sensors
Airport Wildlife
Airport Wildlife Monitoring Utilizing sUAS
Airport Wildlife Monitoring Utilizing sUAS
Cuban Bulrush
Aquatic Invasive Species: Cuban Bulrush
Aquatic Invasive Species: Cuban Bulrush
MBRACE
Mississippi Based Restore Act Center of Excellence
Mississippi Based Restore Act Center of Excellence
AAR
Advancing Agricultural Research Through High-Performance Computing
Advancing Agricultural Research Through High-Performance Computing
Gull Escape Reactions
Identifying Gull Escape Reactions Using Multiple Object Tracking (MOT) with sUAS Videos
Identifying Gull Escape Reactions Using Multiple Object Tracking (MOT) with sUAS Videos
Marsh Terraces
The Efficacy of Marsh Terraces in Enhancing and Restoring Gulf Coastal Wetlands
The Efficacy of Marsh Terraces in Enhancing and Restoring Gulf Coastal Wetlands
RST
Remote Sensing Toolkit to Incorporate Planetary Data
Remote Sensing Toolkit to Incorporate Planetary Data
Amphibious Ground Vehicles
Amphibious Unmanned Ground Vehicle Sensor System for Rapid Detection of PFAS in Water
Amphibious Unmanned Ground Vehicle Sensor System for Rapid Detection of PFAS in Water
All Projects
Research
Previous
Next
Maritime Domain Awareness
Maritime Domain Awarenes Using Networked Unmanned System with Integrated High Resolution Sensors
Maritime Domain Awarenes Using Networked Unmanned System with Integrated High Resolution Sensors
Airport Wildlife
Airport Wildlife Monitoring Utilizing sUAS
Airport Wildlife Monitoring Utilizing sUAS
Cuban Bulrush
Aquatic Invasive Species: Cuban Bulrush
Aquatic Invasive Species: Cuban Bulrush
MBRACE
Mississippi Based Restore Act Center of Excellence
Mississippi Based Restore Act Center of Excellence
AAR
Advancing Agricultural Research Through High-Performance Computing
Advancing Agricultural Research Through High-Performance Computing
Gull Escape Reactions
Identifying Gull Escape Reactions Using Multiple Object Tracking (MOT) with sUAS Videos
Identifying Gull Escape Reactions Using Multiple Object Tracking (MOT) with sUAS Videos
Partners in Success
Expanding the Intersection between Producer Experimentation and University Research
Expanding the Intersection between Producer Experimentation and University Research
Waterborne Biochemical Agents
Persistent Autonomous Mobile Monitoring of Waterborne Biochemical Agents
Persistent Autonomous Mobile Monitoring of Waterborne Biochemical Agents
RST
Remote Sensing Toolkit to Incorporate Planetary Data
Remote Sensing Toolkit to Incorporate Planetary Data
Amphibious Ground Vehicles
Amphibious Unmanned Ground Vehicle Sensor System for Rapid Detection of PFAS in Water
Amphibious Unmanned Ground Vehicle Sensor System for Rapid Detection of PFAS in Water
Climate Change Impacts
Development of an Improved Visualization Tool for the Assessment of Climate Change Impacts on Mississippi Sound Costal Waters
Development of an Improved Visualization Tool for the Assessment of Climate Change Impacts on Mississippi Sound Costal Waters
All Projects
Recent Publications
Raczynski, K., & Dyer, J. (2023). Quantifying Patterns of Streamflow Peaks over the Southeastern United States Using a Long-term Retrospective Data Set. Hydrological Processes. 37(8), e14960. DOI:10.1002/hyp.14960. [Abstract] [Document Site]Jones, L. R., Elmore, J. A., Samiappan, S., Evans, K. O., Pfeiffer, M. B., Blackwell, B. F., & Iglay, R. B. (2023). Fusion of Visible and Thermal Images Improves Automated Detection and Classification of Animals for Drone Surveys. Scientific Reports. 13, 10385. DOI:https://doi.org/10.1038/s41598-023-37295-7E. [Document Site]
Nabi, M., Senyurek, V., Lei, F., Kurum, M., & Gurbuz, A. (2023). Quasi-Global Assessment of Deep Learning-Based CYGNSS Soil Moisture Retrieval. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE. 16, 5629-5644. DOI:10.1109/JSTARS.2023.3287591. [Abstract] [Document Site]
Raczynski, K., & Dyer, J. (2023). Harmonic Oscillator Seasonal Trend (HOST) Model for Hydrological Drought Pattern Identification and Analysis. Journal of Hydrology. 620(B), 129514. DOI:10.1016/j.jhydrol.2023.129514. [Abstract] [Document Site]