Mehmet Kurum 
Mehmet
Kurum
Faculty

View Curriculum Vitae

Email
kurum@ece.msstate.edu

Office
Simrall 235

Phone
(662) 325-2148

Selected PublicationsTotal Publications:  12 
Lei, F., Senyurek, V., Kurum, M., Gurbuz, A., Boyd, D., Moorhead, R. J., & Crow, W. T. (2022). Quasi-global Machine Learning-based Soil Moisture Estimates at High Spatio-temporal Scales Using CYGNSS and SMAP Observations. Remote Sensing of Environment. Elsevier. 276, 113041. DOI:10.1016/j.rse.2022.113041. [Abstract] [Document Site]

Senyurek, V., Lei, F., Gurbuz, A., Kurum, M., & Moorhead, R. J. (2022). Machine Learning-based Global Soil Moisture Estimation Using GNSS-R. SoutheastCon 2022. Mobile, AL, USA: IEEE. 434-435. DOI:10.1109/SoutheastCon48659.2022.9764039. [Abstract] [Document Site]

Senyurek, V., Farhad, M., Gurbuz, A., Kurum, M., & Moorhead, R. J. (2022). SoilMoistureMapper: a GNSS-R Approach for Soil Moisture Retrieval on UAV. UAAAI-22 AI for Agriculture and Food Systems (AIAFS) Workshop. Vancouver, BC (Canada). [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]

Lei, F., Senyurek, V., Kurum, M., Gurbuz, A., & Moorhead, R. J. (2021). Quasi-Global GNSS-R Soil Moisture Retrievals at High Spatio-Temporal Resolution from Cygnss and Smap Data. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. Brussels, Belgium: IEEE. 6303-6306. DOI:10.1109/IGARSS47720.2021.9554005. [Abstract] [Document Site]