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Mississippi State University

Geosystems Research Institute

About GRI

Established in 2000 the Geosystems Research Institute is a collaborative of academic scientist, 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. Through the use of geospatial technologies and high-performance computing, GRI is at the forefront in addressing some of today’s most pressing agriculture, water resources, conservation, and wetland issues.



Recent Publications

Ramamoorthy, P., Samiappan, S., Wubben, M. J., Brooks, J. P., Shrestha, A., Panda, R. M., Reddy, R., & Bheemanahalli, R. (2022). Hyperspectral Reflectance and Machine Learning Approaches for the Detection of Drought and Root Knot Nematode Infestation in Cotton. Remote Sensing. 14, 4021. DOI: [Abstract]

Senyurek, V., Farhad, M. M., Gurbuz, A., Kurum, M., & Adeli, A. (2022). Fusion of Reflected GPS Signals With Multispectral Imagery to Estimate Soil Moisture at Subfield Scale From Small UAS Platforms. Journal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE. 15, 6843-6855. DOI:10.1109/JSTARS.2022.3197794. [Abstract] [Document Site]

Bheemanahalli, R., Ramamoorthy, P., Poudel, S., Samiappan, S., Wijewardane, N., & Reddy, R. (2022). Effects of Drought and Heat Stresses during Reproductive Stage on Pollen Germination, Yield, and Leaf Reflectance Properties in Maize (Zea Mays L.). Plant Direct. Wiley. 6, e434. [Abstract]

Nabi, M., Senyurek, V., Gurbuz, A., & Kurum, M. (2022). Deep Learning-Based Soil Moisture Retrieval in CONUS Using CYGNSS Delay-Doppler Maps. Journal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE. 15, 6876-6881. DOI:10.1109/JSTARS.2022.3196658. [Abstract] [Document Site]