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United States Department of Agriculture

Agricultural Research Service

Fangni Lei

Post Doc (Research Associate)


/ARSUserFiles/52677/Fangni.Lei_web.jpg Fangni Lei, Ph.D.
Postdoctoral Research Associate
USDA-ARS Hydrology and Remote Sensing Laboratory
Bldg. 007, Rm. 104, BARC-West
Beltsville, MD 20705-2350 USA
Voice: (301) 504-7490
Fax: (301) 504-8931
Fangni.Lei@ars.usda.gov

 

Research Interests:

  • Microwave remote sensing of soil moisture.
  • Watershed-scale hydrologic data assimilation.

Education:

  • 2011 B.S., Scholar of Resource and Environmental Sciences, Wuhan University, Wuhan, China.
  • 2013 M.S., Scholar of Resource and Environmental Sciences, Wuhan University, Wuhan, China.
  • 2016 Ph.D., Scholar of Resource and Environmental Sciences, Wuhan University, Wuhan, China.

Professional Experience:

  • 2017 - Present: Postdoctoral Research Associate, USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD.


Selected Publications: (please contact the author to determine reprint availability)

Jiang, H., Shen, H., Li, H., Lei, F., Gan, W. and Zhang, L. Evaluation of Multiple Downscaled Microwave Soil Moisture Products over the Central Tibetan Plateau. Remote Sensing9(5), 402, 2017.

Parinussa, R. M., de Jeu, R. A., van der Schalie, R., Crow, W. T., Lei, F. and Holmes, T. R. A Quasi-Global Approach to Improve Day-Time Satellite Surface Soil Moisture Anomalies through the Land Surface Temperature Input. Climate4(4), 50, 2016.

Crow, W. T., Lei, F., Hain, C., Anderson, M. C., Scott, R. L., Billesbach, D. and Arkebauer, T. Robust estimates of soil moisture and latent heat flux coupling strength obtained from triple collocation. Geophysical Research Letters42(20), 8415-8423, 2015.

Lei, F., Crow, W. T., Shen, H., Parinussa, R. M. and Holmes, T. R. The impact of local acquisition time on the accuracy of microwave surface soil moisture retrievals over the contiguous United States. Remote Sensing7(10), 13448-13465, 2015.

Lei, F., Huang, C., Shen, H. and Li, X. Improving the estimation of hydrological states in the SWAT model via the ensemble Kalman smoother: Synthetic experiments for the Heihe River Basin in northwest China. Advances in Water Resources67, 32-45, 2014.

 

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Last Modified: 5/9/2017
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