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 its systems to improve policy and public awareness.
News
Predicting Water Availability Amid Climate Change Peaks Perspective, Research of MSU's Raczynski
September 24, 2024 - STARKVILLE, ...
MSU's Geosystems Research Institute Hosts New Zealand Researchers for Exchange on Freshwater Biosecurity
July 15, 2024 - International ...
MSU, USDA-ARS Kick Off New Research Unit Focused on Geospatial, Environmental Epidemiology
July 1, 2024 - STARKVILLE, ...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
Schmid, S. A., & Turnage, G. (2024). Scientific Note: Utricularia Macrorhiza LaConte (Common Bladderwort; Lentibulariaceae) Recorded in the Mississippi Delta. Castanea. 89(2), 190-195. [Document]Nabi, M., Senyurek, V., Kurum, M., & Gurbuz, A. (2024). Best Linear Unbiased Estimators for Fusion of Multiple CYGNSS Soil Moisture Products. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE. 1, 1-11. DOI:10.1109/JSTARS.2024.3443100. [Document Site]
Rafi, M., Senyurek, V., & Gurbuz, A. (2024). Performance Assessment of Crop Line Detection in Corn Field from Unmanned Aerial Vehicle Video. SPIE 13053, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IX. National Harbor, Maryland, United States: SPIE. 13053, 89-98. DOI:doi.org/10.1117/12.3013501. [Abstract] [Document Site]
Raczynski, K., & Dyer, J. (2024). HOST: Harmonic Oscillator Seasonal-trend Model for Analyzing the Reoccurring Nature of Extreme Events. SoftwareX. 27, 101771. DOI:10.1016/j.softx.2024.101771. [Abstract] [Document Site]