Rafi, M.,
Senyurek, V., Adeli, A., Yanbo, H., Ball, J. E., & Gurbuz, A. (2026). Investigation of Machine Learning Based Techniques for Crop Yield Estimation of Corn and Cotton Using Multi-sensor Data Fusion.
Journal of Agriculture and Food Research. Elsevier.
26(2026), 102676.
DOI:10.1016/j.jafr.2026.102676. [
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]
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., 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]