Yonghong Yi

Yonghong Yi

Research Scientist

Send Email: yonghong.yi@umontana.edu

Office Phone:  406-243-6318  

Research Interests

My research focuses on the quantitative descriptions of water and energy transfer processes and land-atmosphere interactions scaling from field to large drainage basins through the combination of remote sensing and hydrological/land surface models. It is my view that only by integrating across scales and between disciplines can we really understand these interactions and their implications for Ecohydrology from local to global scales.



  • Ph.D., 2008. Hydrology, Tsinghua University, China
  • M.S., 2005. Photogrammetry and Remote Sensing, Peking University, China
  • B.E., 2002. Hydrology, Wuhan University, China.

Professional Experience

  • Postdoctoral Researcher, 2009/09-, Flathead Lake Biological Station, The University of Montana
  • Postdoctoral Researcher, 2008/09-2009/08, Department of Civil Engineering, University of Manitoba, Canada.


  • Y. Yi, D. Yang. 2009. An operational method to estimate evapotranspiration using MODIS data during winter wheat growing season. International Journal of Remote Sensing (In Publication).
  • Y. Yi, D. Yang, J. Huang, D. Chen. 2008. Evaluation of MODIS surface reflectance products for wheat LAI retrieval. ISPRS Journal of Photogrammetry and Remote Sensing. 63, 661-677.
  • J. Xu, D. Yang, Y. Yi, Z. Lei, J. Chen, W. Yang. 2008. Spatial and temporal variation of runoff in the Yangtze River basin during the past 40 years. Quaternary International, 186(1), 32-42.
  • Y. Yi, D. Yang, Yu Liu, Di Xu. 2008. Review on the application of remote sensing on regional evapotranspiration modeling. Journal of Hydraulic Engineering, 39(9), 1118-1124. (in Chinese).
  • Y. Yi, D. Yang, Z. Liu, J. Wang. 2008. Study on drought monitoring within eastern Sichuan and Chongqing in 2006 with MODIS data. Journal of Hydraulic Engineering, 39(4), 490-499. (in Chinese)
  • Y. Yi, D. Yang, D. Chen. J. Huang. 2007. Retrieving crop physiological parameters and assessing water deficiency using MODIS data during winter wheat growing period. Canadian Journal of Remote Sensing, 33(3), 189-202.


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updated: 12/15/2014 9:50 am