I am an Assistant Professor in the Department of Natural Resources and Environmenal Sciences at the University of Illinois at Urbana-Champaign. I am also a Blue Waters Professor with a joint appointment with the National Center for Supercomputing Applications (NCSA). I am a computational environmental scientist studying underlying processes of vegetation-hydrology interactions (i.e. ecohydrology, water-ecosystem-food nexus) for natural and agricultural ecosystems. My current research has a particular emphasis on the impacts of hydro-climate change on vegetation dynamics and crop productivity in tropical and temperate regions.The goal of my research is to increase our society’s resilience and adaptability to maintain sustainability of ecosystem services, food security and water resources under the influence of climate change and anthropogenic drivers (e.g. land use change, increased population and food demands), which directly or indirectly impacts the livelihood and wellbeing of billions of humans.
More information can be found at: http://faculty.nres.illinois.edu/~kaiyuguan/.
I have plans to recruit graduate students and postdocs with full supports in the coming years in the area of "crop remote sensing and modeling." Thus, if you are interested in these opportunities, please contact me with your CV.
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
Additional Campus Affiliations
Assistant Professor, Natural Resources and Environmental Sciences
Assistant Professor, National Center for Supercomputing Applications (NCSA)
Assistant Professor, Center for Digital Agriculture, National Center for Supercomputing Applications (NCSA)
Office of Risk Management & Insurance Research (ORMIR) Faculty Fellow, Finance
Benes, B., Guan, K., Lang, M., Long, S. P., Lynch, J. P., Marshall-Colón, A., Peng, B., Schnable, J., Sweetlove, L. J., & Turk, M. J. (2020). Multiscale computational models can guide experimentation and targeted measurements for crop improvement. Plant Journal, 103(1), 21-31. https://doi.org/10.1111/tpj.14722
Cheng, Y., Huang, M., Chen, M., Guan, K., Bernacchi, C., Peng, B., & Tan, Z. (2020). Parameterizing Perennial Bioenergy Crops in Version 5 of the Community Land Model Based on Site-Level Observations in the Central Midwestern United States. Journal of Advances in Modeling Earth Systems, 12(1), [e2019MS001719]. https://doi.org/10.1029/2019MS001719
Franz, T. E., Pokal, S., Gibson, J. P., Zhou, Y., Gholizadeh, H., Tenorio, F. A., Rudnick, D., Heeren, D., McCabe, M., Ziliani, M., Jin, Z., Guan, K., Pan, M., Gates, J., & Wardlow, B. (2020). The role of topography, soil, and remotely sensed vegetation condition towards predicting crop yield. Field Crops Research, 252, . https://doi.org/10.1016/j.fcr.2020.107788
Fu, P., Meacham-Hensold, K., Guan, K., Wu, J., & Bernacchi, C. (Accepted/In press). Estimating photosynthetic traits from reflectance spectra: A synthesis of spectral indices, numerical inversion, and partial least square regression. Plant Cell and Environment. https://doi.org/10.1111/pce.13718
Gao, Y., Wang, S., Guan, K., Wolanin, A., You, L., Ju, W., & Zhang, Y. (2020). The Ability of Sun-Induced Chlorophyll Fluorescence From OCO-2 and MODIS-EVI to Monitor Spatial Variations of Soybean and Maize Yields in the Midwestern USA. Remote Sensing, 12(7), . https://doi.org/10.3390/rs12071111