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Email
fangni@gri.msstate.edu

Office
HPC A200

Lei
Fangni
Lei
Geosystems Research Institute
Faculty


Email
fangni@gri.msstate.edu

Office
HPC A200

Research Interest
Watershed-scale hydrologic modeling and hydrological data assimilation;
Microwave remote sensing of soil moisture;
Land surface water and energy balance modeling;
Agricultural water management with remote sensing applications
Selected Publications Total Publications:  7 
Dong, J., Dirmeyer, P. A., Lei, F., Anderson, M. C., Holmes, T. R. H., Hain, C., & Crow, W. T. (2020). Geophysical Research Letters. AGU. 47(21), e2020GL090391.

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]

Lei, F., Senyurek, V., Boyd, D., Kurum, M., Gurbuz, A., & Moorhead, R. J. (2020). Machine-Learning Based Retrieval of Soil Moisture at High Spatio-Temporal Scales Using CYGNSS and SMAP Observations. IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium. International Geoscience and Remote Sensing Symposium: IEEE. 4470-4473. DOI:10.1109/IGARSS39084.2020.9323106. [Document Site]

Crow, W. T., Gomez, C. A., Sabater, J. M., Holmes, T., Hain, C. R., Lei, F., Dong, J., Alfieri, J. G., & Anderson, M. C. (2020). Soil Moisture–Evapotranspiration Overcoupling and L-Band Brightness Temperature Assimilation: Sources and Forecast Implications. Journal of Hydrometeorology. AMS. 21(10), 2359-2374.

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]