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Publications for Fangni Lei

12 Publications
Peer-Reviewed Journals
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]
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]
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]
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]
Lei, F., Crow, W. T., Kustas, W. P., Dong, J., Yang, Y., Knipper, K. R., Anderson, M. C., Gao, F., Notarnicola, C., Greifeneder, F., Mckee, L. M., Alfieri, J. G., Hain, C., & Dokoozlian, N. (2020). Data Assimilation of High-resolution Thermal and Radar Remote Sensing Retrievals for Soil Moisture Monitoring in a Drip-irrigated Vineyard. Remote sensing of environment. Elsevier. 239, 111622.
Dong, J., Lei, F., & Wei, L. (2020). Triple Collocation Based Multi-source Precipitation Merging. Frontiers in Water. 2, 1.
Peer-Reviewed Conference Papers
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]
Senyurek, V., Gurbuz, A., Kurum, M., Lei, F., Boyd, D., & Moorhead, R. J. (2021). Spatial and Temporal Interpolation of CYGNSS Soil Moisture Estimations. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. Brussels, Belgium: IEEE. 6307-6310. DOI:10.1109/IGARSS47720.2021.9553900. [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]
Peer-Reviewed Conference Posters
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]