Kaiyu Guan

Assistant Professor

Dr. Guan provides solutions for real-life problems, such as large-scale crop monitoring and forecasting, water management and sustainability, and global food security. He uses satellite data, computational models, field work, and machine learning approaches to address how climate and human practices affect crop productivity, water resource availability, and ecosystem functioning.


  • PhD, Environmental Engineering, Princeton University, 2013
  • B.S. Geography, Geoinformatics, Nanjing University, 2008

Academic Positions

  • Postdoctoral scholar, Stanford University, 2013-2015

Research Interests

  • Ecohydrology, Crop Remote Sensing, Crop Modeling and Forecasting, Agriculture Adaptation to Climate Change, Vegetation Dynamic Modeling, Terrestrial Remote Sensing (optical/microwave), Biogeography, Drought, Vegetation Phenology, Tropical Ecology, GIS

Selected Articles in Journals

  • Guan, K., Lobell, D.B., Berry, J., Joiner, J., Guanter, L., Zhang, Y., and Badgley, G. (2015) "Improving the mointoring of crop productivity using spaceborne solar-induced fluorescence", Global Change Biology.
  • Guan, K., Sultan, B., M., Biasutti, M., Lobell, D.B. (2015) “What aspects of future rainfall changes matter for crop yields in West Africa”, Geophysical Research Letters.
  • Shukla, S., Safeeq, M., AghaKouchak, A., Guan, K., and Funk, C. (2015) “Temperature impacts on the Water Year 2014 Drought in California”, Geophysical Research Letters.
  • Guan, K., Pan, M., Li, H., Wolf, A., Wu, J., Medvigy, D., Caylor, K. K., Sheffield J., Wood, E.F., Malhi, Y., Liang, M., Kimball, J. S., Saleska, S., Berry, J., Joiner, J., and Lyapustin, A. I. (2015) "Photosynthetic seasonality of global tropical forests constrained by hydroclimate", Nature Geoscience.
  • Sultan, B., Guan, K., Kouressy, M., Biasutti, M., Piani, C., Hammer, G.L., Mclean, G., and Lobell, D.B. (2014) "Robust features of future climate change impacts on sorghum yields in West Africa", Environmental Research Letters, 9(10).
  • Reid, M.C, Guan, K., Fabian Wagner, Mauzerall, D.L. (2014) "Global Methane Emission from Pit Latrines", Environmental Science and Technology, 48,8727-8734.
  • Guan, K., Wood, E. F., Caylor, K. K., Medvigy, D., Sheffield, J., Pan, M., Kimball, J., Xu, X and Jones, M.O. (2014) "Terrestrial hydrological control on vegetation phenology of African savannas and woodlands", Journal of Geophysical Research-Biogeosciences, 119(8), 8727-8734.
  • Good, S.P., Soderberg, K., Guan, K., King, E. G., Scanlon, T., Caylor, K.K. (2014) "δ2H Isotopic flux partitioning of evapotranspiration over a grass field following a water pulse and subsequent dry down", Water Resources Research, 50(2), 1410-1432.
  • Sheffield, J., Wood, E. F., Chaney, N., Guan, K., Safri, S., Yuan, X., Olang, L., Amani, A., Ali, A., and Demuth, S. (2014), "A drought monitoring and forecarsting system for Sub-Sahara African water resources and food security", Bulletin of the American Meteorological Society, 95(6), 2014.
  • Yuan, X., Wood, E. F., Chaney, N. W., Sheffield J., Kam, J., Liang, M., and Guan, K. (2014), "Probalistic Seasonal Forecasting of African Drought by Dynamical Models", Journal of Hydrometeorology, 14, 1706-1720.
  • Guan, K., Medvigy, D., Wood, E. F. , Caylor, K. K. ,Li, S. and Jeong S.J. (2014) "Deriving vegetation phenological time and trajectory information over Africa using SEVIRI daily LAI", IEEE transactions on Geoscience and Remote Sensing, 53(2),1113-1130.
  • Guan, K., Wolf, A., Wood, E. F., Medvigy, D., Caylor, K. K. and Pan, M. (2013) "Seasonal coupling of canopy function and structure in African tropical forests and its environmental controls", Ecosphere, 4(3).
  • Guan, K., Wood, E. F. and Caylor, K. K. (2012) "Multi-sensor derivation of regional vegetation fractional cover in Africa", Remote Sensing of Environment, 124, 653-665.
  • Guan, K., Thompson, S.E., Harman, C. J., Basu, N. B., Rao, S. P., Sivapalan, M., Kalita, P.K. and Packman, A. I. (2011) "Spatio-temporal scaling of hydrological and agro-chemical export dynamics in a tile-drained Midwestern watershed", Water Resource Research, 47, W00J02.