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Email
volkan@gri.msstate.edu

Office
HPC 207

Address
2 Research Boulevard
Starkville, MS 39759
Senyurek
Volkan
Senyurek
Geosystems Research Institute
Faculty


Email
volkan@gri.msstate.edu

Office
HPC 207

Address
2 Research Boulevard
Starkville, MS 39759
Research Interest
Remote sensing
Machine learning, pattern recognition
Precision agriculture
Biomedical Signal Processing
Wearable sensors
Structural Health Monitoring,
Fiber Optic Sensors
Selected Publications Total Publications:  53 
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]

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]

Senyurek, V., Gurbuz, A., & Kurum, M. (2021). Assessment of Interpolation Errors of CYGNSS Soil Moisture Estimations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14, 1. DOI:10.1109/JSTARS.2021.3113565. [Document] [Document Site]

Senyurek, V., Lei, F., Boyd, D., Gurbuz, A., Kurum, M., & Moorhead, R. J. (2020). Evaluations of Machine Learning-Based CYGNSS Soil Moisture Estimates against SMAP Observations. Remote Sensing. 12(21), 3503. DOI:10.3390/rs12213503. [Abstract] [Document Site]

Senyurek, V., Lei, F., Boyd, D., Kurum, M., Gurbuz, A., & Moorhead, R. J. (2020). Machine Learning-based CYGNSS Soil Moisture Estimates over ISMN Sites in CONUS. Remote Sensing. 12(7), 1168. DOI:10.3390/rs12071168. [Abstract] [Document Site]