  Education: 2010-2013: PhD Environmental Engineering, Princeton University Advisor: Dr. Eric F. Wood 2008-2010: Master of Art Environmental Engineering, Princeton University Advisor: Dr. Eric F. Wood 2004-2008: Bachelor of Science Geography, Geoinformatics, Nanjing University (with honor, GPA rank: 1/156) Professional Experience: 2021-Present: Blue Waters Associate Professor (NRES, NCSA) 2021-Present: Founding Director, Agroecosystem Sustainability Center (iSEE, ACES) 2021-Present: Affiliated Professor at Computer Science 2016-Present: Affiliated Professor (Informatics, Geography) 2016-2021: Assistant Professor (NRES, NCSA) University of Illinois at Urbana Champaign 2015-2016: Quantitative Researcher The Climate Corporation 2013-2015: Postdoc Scholar Earth System Science, Stanford University Supervisor: Dr. David Lobell, Dr. Joe Berry Selected Academic Awards: 2022: FoodShot Global Groundbreaker Prize, FoodShot Global and Foundation for Food & Agriculture Research (FFAR) 2022, Clarivate Analytics Highly Cited Researchers list 2022, Illinois Innovation Network (IIN) Innovator of the Year Awards 2021, Finalist of Pritzker Emerging Environmental Genius Award 2021, Blavatnik National Awards for Young Scientists Finalist 2021, Distinguished Promotion Award, University of Illinois Urbana Champaign 2021, Faculty Fellow of Environmental Sustainability, National Great Rivers Research and Education Center 2021, FFAR Seeding Solutions Award, FFAR 2021, Microsoft "AI for Earth" Research Award 2020, High-Performance-Computing (HPC) Innovation Excellence Award, Hyperion Research 2020, CAS Faculty Fellow, Center for Advanced Study, University of Illinois at Urbana Champaign 2019, Faculty Fellowship on Climate Risk, Gies College of Business, University of Illinois at Urbana Champaign 2019, Amazon "Earth on AWS" Award, Amazon 2019, SoAR Foundation's annual selection of scientists to represent the U.S. agricultural research, SoAR Foundation 2019, NSF CAREER Award, NSF 2018, AGU Global Environmental Change Early Career Award, American Geophysical Union (AGU) Media: UIUC ACES, UIUC NCSA 2017/2019, Excellent Ranking Teacher, University of Illinois at Urbana Champaign 2016, NASA New Investigator Award, NASA 2016, Blue Waters Professorship, National Center for Supercomputing Applications, UIUC 2012, NASA Earth and Space Science Fellowship (NESSF), NASA 2012, Walbridge Fund Graduate Award, Princeton Environmental Institute, Princeton University 2012, Best Student Paper Award, Phenology 2012 Conference, Milwaukee, Wisconsin 2010, CUAHSI Pathfinnder Fellowship, Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) 2007, National Undergraduate Scholarship (within 1%), Nanjing University, China 2006, Pan Xueping Scholarship (within 1%), Nanjing University, China 2007, Best Student Paper Award (2nd), 15th International Conference on Geoinformatics, Nanjing, China Contact: Email: kaiyuguan AT gmail DOT com; kaiyug AT illinois DOT edu. Mail address: Department of Natural Resources and
Environmental Sciences
University of Illinois at Urbana-Champaign W503, Turner Hall, 1102 S. Goodwin
Urbana, Illinois 61801
Visitor Locations: Last updated on February 26, 2023 by Kaiyu Guan All rights reserved. |
Kaiyu Guan
University of Illinois at Urbana Champaign
I got my Ph.D. from Princeton
University in 2013, and I worked with
Prof. Eric F. Wood in the Land Surface
Hydrology Research Group. I also closely worked
with Prof.
Kelly
K.
Caylor and Prof.
David Medvigy. My Ph.D. research focused on
understanding how hydrological variability impacts
vegetation dynamics (vegetation phenology, ecosystem
productivity, and biome distributions) at the
continent scale of tropics using multiple remote
sensing datasets and ecosystem/land surface
models (e.g. SEIB
and VIC). University of Illinois at Urbana Champaign
I am
a Blue Waters Associate Professor in
agroecosystem sensing and modeling, and I am also the Founding Director of Agroecosystem
Sustainability Center (ASC). My
major affiliation is with the Department
of
Natural Resources and Environmental Sciences
(NRES), Department
of Computer Sciences (CS), Institute
for Sustainability, Energy, and Environment, College of
Agricultural, Consumer and Environmental
Sciences (ACES), and National
Center for Supercomputing Applications (NCSA)
at the University
of
Illinois at Urbana-Champaign. I
use
satellite data, computational models, fieldwork,
and machine learning approaches to address how
climate and human practices affect crop
productivity, water resource availability, and
ecosystem functioning. I have keen interests in
applying my knowledge and skills in solving real-life problems, such as
large-scale crop monitoring and forecasting, water
management and sustainability, and global food
security. My lab closely works with scientists in
computer science (deep learning, high performance
computing), plant physiologists, agronomists, and
economists in addressing the above real-world
challenges. I was born in Jiangsu, China. My
Chinese name is 管开宇,
which carries my grandpa's sincere
hope that I could be an astronaut to help explore
and discover the universe ("开发宇宙").
Mission Statement: We aim to bring domain knowledge (i.e. hydrology, plant physiology, biogeochemistry, agricultural science), satellite data, supercomputing, and machine learning together to revolutionize the agricultural research, such that we can observe every crop field in real-time, monitor crop growth condition, water demands, and nutrient needs, forecast crop yield and risks, and provide farmers our solutions to best manage their fields, across the U.S. Corn Belt and Worldwide. We strive to achieve co-sustainability of environment quality and food security.
Other Links: LinkedIn
For Prospective Students: I recruit PhDs and Masters students from the following programs@UIUC:
PhDs: NRES, PEEC, Informatics
Masters&PhDs: Computer Science
Recruitment: We are recruiting Research Scientists, Postdocs, & PhD Students on Ecosystem Modeling and Remote Sensing. See details here.
Feb 2023: The global mainstream media in Agtech reported our work from the lab to the real-world impact, featuring the recent FoodShot Global GroundBreaker Prize.
Jan 2023: I am so proud to be a part of this documentary the Illinois Farm Bureau (IFB) produced about our home state's environmental work, entitled “Sustaining Our Future: A Farm Family Story”. We are proud to be part of this journey to work with the families and individuals to help their bottom line while also advancing agricultural sustainability on our land.
Jan 2023: Our new work in RSE has shown a breakthrough in the accuracy and scalability in using airborne hyperspectral to map out tillage residue and tillage practice at large scale.
Jan 2023: Our new work clarified the correct understanding of what is “soil carbon credit”, and also comprehensively assessed the uncertainty leading to the calculation of soil carbon credits. Exciting finding from our work: the current public soil data in the US (e.g. SSURGO) can be used to quantify soil carbon credit with limited uncertainty.
Dec 2022: The 2022 American Geophysical Union Annual Meeting features Agroecosystem Sustainability Center (ASC) and our SMARTFARM projects. NCSA further promoted our recent work at ASC for climate change studies.
Dec 2022: Our cover crop work to map out its availability at every field for the past 22 years, we see a slow increase of cover crop adoption in the Midwest (covered by Washington Post), and another relevant work demonstrates how this field-level cover crop data contributed to the understanding of the potential yield loss.
Nov 2022: I am extremely excited to see our "system-of-systems" solution for carbon accounting has been acknowledged as the FoodShot Global Groundbreaker Prize, one of the three awardees given annually and globally. Thanks FoodShot Global and Foundation for Food & Agriculture Research (FFAR) for this major award!
Nov 2022: I am excited to be one of the nice Illinois scholars in 2022 Clarivate Analytics Highly Cited Researchers list.
Oct 2022: National Center for Supercomputing Application (NCSA) at UIUC features our group's work on using supercomputing for agroecosystem sensing and modeling.
Aug 2022: Thanks to Illinois Innovation Network and State of Illinois for the recognition of being one of the five receipts for the 2022 IIN Innovator of the Year Awards.
Aug 2022: Associated Press's coverage of the recent Congress bill on the climate deal quotes my comments on farmers' role here: "Not only are they [farmers] doing this to be part of the solution to help the climate, they are doing this to help their land."
Jun 2022: Our lab's new work on modeling nitrogen fertilizer management using the ecosys model for the US Midwest regions provides the scientific foundation to develop decision-making tools for farmers.
Jun 2022: PhD student Qu got the NASA FINNEST graduate fellowship - the most distinguished graduate student fellowship offered by NASA, with the proposed work on mapping cover crop for the whole US cropland.
May 2022: Our new SMARTFARM work, led by Prof. Zhenong Jin from University of Minnesota, hybrids AI with process-based modeling to propose the first-of-its-kind modeling framework called "Knowledge-Guided Machine Learning (KGML)" for modeling agroecosystem GHG.
Apr 2022: Our recent ARPA-E SMARTFARM paper in Geodema: how to develop an estimation strategy that maximizes accuracy while minimizing the number of soil cores sampled.
Mar 2022: Our team's new work in RSE on using hyperspectral sensing and AI to estimate soil carbon in the lab and on assessing its potential to apply in the real world by various satellite sensors.
Jan 2022: Our new airborne hyperspectral work demonstrates the advanced ability to accurately derive canopy nitrogen status and photosynthetic capacity close to the ground truth quality, but at a much lower cost.
Dec 2021: I am honored to be a speaker at C3 Digital Transformation Institute. Whole talk online.
Oct 2021: We joined a multi-institute USDA $10M project led by Prof. Madhu Khanna in developing agrivoltaics in the broad agricultural landscape.
Sep 2021: White House Briefing highlights three major projects of my group at the national level, in the space of carbon and climate, including our new DOE BETO project and two ARPA-E SMARTFARM projects.
Sep 2021: Our new study integrates field data and advanced mathematical modeling to understand the relationship between cover crop growth and summer cash crop yield.
Sep 2021: SMARTFARM Projects are featured in the Planet Lab's blog.
Sep 2021: We developed a new framework to identify 30m-resolution marginal land for the U.S., by processing 72 billion pixels of satellite data at the Blue Waters Supercomputer.
Aug 2021: "New Modeling Solution Sets Bar for Quantifying Carbon Budget and Credit." - Our new paper from ARPA-E SMARTFARM project.
Aug 2021: Our collaborative study with University of Minnesota's Zhenong Jin's team led to improved estimation of N2O emission for the U.S. Corn Belt!
Jul 2021: PBS podcast features our work of studying agricultural drought.
Jul 2021: Thanks Larta Institute to nominate me as a finalist of Pritzker Emerging Environmental Genius Award.
Jun 2021: Five SPIN undergraduate interns from our group are featured by NCSA and two of them got the distinguished Fiddle Innovation Award.
Jun 2021: I am humbled and honored to be named as a Blavatnik National Award of Young Scientist Finalist! Thanks to all my students, co-workers, mentors and my family!
Jun 2021: Our group wins an AI for Energy and Climate Security Award from the C3.ai Digital Transformation Institute, focusing on quantifying farmland carbon credit using AI tech.
May 2021: Our group's new review article sheds light on how to improve precision crop irrigation.
Feb 2021: Our lab developed a new dataset of photosynthesis at the daily and field scale from 2000-present for the continental US.
Nov 2020: Our work on Reliable and Novel Tools for Long-Term Crop Predictions at the Blue Waters Supercomputer wins us the HPC Innovation Excellence Award by Hyperion Research.
Nov 2020: FORBES covered our lab's recent work about better assessments of drought for the U.S. Corn Belt.
Nov 2020: We are integrating airborne data with satellite data to bridge scales from individual plants, to a field, and ultimately to continental applications.
Sep 2020: Recent two papers from my group provide rationales and justification of how we should redefine drought in the US Corn Belt and beyond.
Sep 2020: We are leading a new project with $4.5 million from ARPA-E to develop commercial carbon credit tools for farmland.
Jun 2020: Ph.D. student Genghong Wu from our lab got award from NASA Future Investigators in NASA Earth and Space Science and Technology.
May 2020: Our "Nature Plants" review paper provides visionary roadmaps of how to develop next-generation crop models for advancing crop breeding, precision agriculture, and assessing climate change adaptations.
Apr 2020: Our group's recent work in Global Change Biology, of quantifying the irrigation cooling benefits of improving crop yield for the U.S. Midwest irrigated maize.
Mar 2020: Our team developed a new algorithm framework to produce real-time field-scale evapotranspiration (ET, or crop water uses) for everywhere in the US. Going to cover everywhere in the planet.
Mar 2020: Our lab's Ph.D. student Hyungsuk Kimm led a new work to enable the monitoring of "Corn productivity in real time: Satellites, field cameras, and farmers team up".
Jan 2020: We lead a team of UIUC scientists to measure corn-soybean carbon emission "gold standard data" through DOE ARPA-e program.
Jan 2020: Our team used Nanosatellites to improve detection of early-season corn nitrogen stress.
Jun 2019: Our lab officially joins NASA Harvest Program, and a new project is developed to provide Illinois farmers actional guidance on field-level management by using NASA satellite data and process-based modeling.
Jun 2019: Thanks for the coverage by SC19 (Supercomputing Conference 2019) on our work and vision: "Food Production & HPC: Understanding Plant Growth From Above and Below".
Jun 2019: Our team, with Prof. Evan DeLucia, conducted a study on understanding increased crop water needs and potential irrigation expansion in the US Midwest in the future.
Jun 2019: Two recent collaborative works on hyperspectral phenotyping, with Prof. Carl Bernacchi, have been published with press releases.
May 2019: Press release on our recent AFM work about Australia wheat yield prediction.
Apr 2019: Press release on our recent GCB work about the excessive rainfall impacts on US maize production.
Apr 2019: Prof. Peng and my lab are awarded Amazon "Earth on AWS" Research Award.
Mar 2019: Our T-FACE project has been chosen to represent U. of I. in the SoAR Foundation's report of Retaking the Field: Science Breakthroughs for Thriving Farms and a Healthier Nation.
Feb 2019: NSF CAREER Award (UIUC ACES, UIUC NCSA).
Jan 2019: NCSA "Can you imagine" interview.
Dec 2018: AGU Global Environmental Change Early Career Award (UIUC ACES, UIUC NCSA).
Nov 2018: Highlighted in the NCSA's exhibits in SC18.
Sep 2018: Our algorithm predicts US end-of-season corn yield better than the USDA forecasts.
Aug 2018: R&D Magazine covers a story of our recent work in satellite crop applications.
Short Bio: Before I joined UIUC, I was a post-doctoral scholar working with Prof. David Lobell in the Center on Food Security and the Environment and Department of Environmental Earth System Science, Stanford University. My postdoc research was to study climate change impacts and adaptations on crop production and food security in West African and US. Specifically, I used empirical and process-based approaches to model drought and heat stress effects on staple crop production and assess possible adaptation pathways. I also worked with Dr. Joe Berry on using satellite-based photosynthesis measurements (sun-induced chlorophyll fluorescence) to quantify crop productivity. I briefly worked in the Climate Corporation to help their nitrogen modeling development between my Stanford and UIUC time.
Mission Statement: We aim to bring domain knowledge (i.e. hydrology, plant physiology, biogeochemistry, agricultural science), satellite data, supercomputing, and machine learning together to revolutionize the agricultural research, such that we can observe every crop field in real-time, monitor crop growth condition, water demands, and nutrient needs, forecast crop yield and risks, and provide farmers our solutions to best manage their fields, across the U.S. Corn Belt and Worldwide. We strive to achieve co-sustainability of environment quality and food security.
Other Links: LinkedIn
For Prospective Students: I recruit PhDs and Masters students from the following programs@UIUC:
PhDs: NRES, PEEC, Informatics
Masters&PhDs: Computer Science
Recruitment: We are recruiting Research Scientists, Postdocs, & PhD Students on Ecosystem Modeling and Remote Sensing. See details here.
Feb 2023: The global mainstream media in Agtech reported our work from the lab to the real-world impact, featuring the recent FoodShot Global GroundBreaker Prize.
Jan 2023: I am so proud to be a part of this documentary the Illinois Farm Bureau (IFB) produced about our home state's environmental work, entitled “Sustaining Our Future: A Farm Family Story”. We are proud to be part of this journey to work with the families and individuals to help their bottom line while also advancing agricultural sustainability on our land.
Jan 2023: Our new work in RSE has shown a breakthrough in the accuracy and scalability in using airborne hyperspectral to map out tillage residue and tillage practice at large scale.
Jan 2023: Our new work clarified the correct understanding of what is “soil carbon credit”, and also comprehensively assessed the uncertainty leading to the calculation of soil carbon credits. Exciting finding from our work: the current public soil data in the US (e.g. SSURGO) can be used to quantify soil carbon credit with limited uncertainty.
Dec 2022: The 2022 American Geophysical Union Annual Meeting features Agroecosystem Sustainability Center (ASC) and our SMARTFARM projects. NCSA further promoted our recent work at ASC for climate change studies.
Dec 2022: Our cover crop work to map out its availability at every field for the past 22 years, we see a slow increase of cover crop adoption in the Midwest (covered by Washington Post), and another relevant work demonstrates how this field-level cover crop data contributed to the understanding of the potential yield loss.
Nov 2022: I am extremely excited to see our "system-of-systems" solution for carbon accounting has been acknowledged as the FoodShot Global Groundbreaker Prize, one of the three awardees given annually and globally. Thanks FoodShot Global and Foundation for Food & Agriculture Research (FFAR) for this major award!
Nov 2022: I am excited to be one of the nice Illinois scholars in 2022 Clarivate Analytics Highly Cited Researchers list.
Oct 2022: National Center for Supercomputing Application (NCSA) at UIUC features our group's work on using supercomputing for agroecosystem sensing and modeling.
Aug 2022: Thanks to Illinois Innovation Network and State of Illinois for the recognition of being one of the five receipts for the 2022 IIN Innovator of the Year Awards.
Aug 2022: Associated Press's coverage of the recent Congress bill on the climate deal quotes my comments on farmers' role here: "Not only are they [farmers] doing this to be part of the solution to help the climate, they are doing this to help their land."
Jun 2022: Our lab's new work on modeling nitrogen fertilizer management using the ecosys model for the US Midwest regions provides the scientific foundation to develop decision-making tools for farmers.
Jun 2022: PhD student Qu got the NASA FINNEST graduate fellowship - the most distinguished graduate student fellowship offered by NASA, with the proposed work on mapping cover crop for the whole US cropland.
May 2022: Our new SMARTFARM work, led by Prof. Zhenong Jin from University of Minnesota, hybrids AI with process-based modeling to propose the first-of-its-kind modeling framework called "Knowledge-Guided Machine Learning (KGML)" for modeling agroecosystem GHG.
Apr 2022: Our recent ARPA-E SMARTFARM paper in Geodema: how to develop an estimation strategy that maximizes accuracy while minimizing the number of soil cores sampled.
Mar 2022: Our team's new work in RSE on using hyperspectral sensing and AI to estimate soil carbon in the lab and on assessing its potential to apply in the real world by various satellite sensors.
Jan 2022: Our new airborne hyperspectral work demonstrates the advanced ability to accurately derive canopy nitrogen status and photosynthetic capacity close to the ground truth quality, but at a much lower cost.
Dec 2021: I am honored to be a speaker at C3 Digital Transformation Institute. Whole talk online.
Oct 2021: We joined a multi-institute USDA $10M project led by Prof. Madhu Khanna in developing agrivoltaics in the broad agricultural landscape.
Sep 2021: White House Briefing highlights three major projects of my group at the national level, in the space of carbon and climate, including our new DOE BETO project and two ARPA-E SMARTFARM projects.
Sep 2021: Our new study integrates field data and advanced mathematical modeling to understand the relationship between cover crop growth and summer cash crop yield.
Sep 2021: SMARTFARM Projects are featured in the Planet Lab's blog.
Sep 2021: We developed a new framework to identify 30m-resolution marginal land for the U.S., by processing 72 billion pixels of satellite data at the Blue Waters Supercomputer.
Aug 2021: "New Modeling Solution Sets Bar for Quantifying Carbon Budget and Credit." - Our new paper from ARPA-E SMARTFARM project.
Aug 2021: Our collaborative study with University of Minnesota's Zhenong Jin's team led to improved estimation of N2O emission for the U.S. Corn Belt!
Jul 2021: PBS podcast features our work of studying agricultural drought.
Jul 2021: Thanks Larta Institute to nominate me as a finalist of Pritzker Emerging Environmental Genius Award.
Jun 2021: Five SPIN undergraduate interns from our group are featured by NCSA and two of them got the distinguished Fiddle Innovation Award.
Jun 2021: I am humbled and honored to be named as a Blavatnik National Award of Young Scientist Finalist! Thanks to all my students, co-workers, mentors and my family!
Jun 2021: Our group wins an AI for Energy and Climate Security Award from the C3.ai Digital Transformation Institute, focusing on quantifying farmland carbon credit using AI tech.
May 2021: Our group's new review article sheds light on how to improve precision crop irrigation.
Feb 2021: Our lab developed a new dataset of photosynthesis at the daily and field scale from 2000-present for the continental US.
Nov 2020: Our work on Reliable and Novel Tools for Long-Term Crop Predictions at the Blue Waters Supercomputer wins us the HPC Innovation Excellence Award by Hyperion Research.
Nov 2020: FORBES covered our lab's recent work about better assessments of drought for the U.S. Corn Belt.
Nov 2020: We are integrating airborne data with satellite data to bridge scales from individual plants, to a field, and ultimately to continental applications.
Sep 2020: Recent two papers from my group provide rationales and justification of how we should redefine drought in the US Corn Belt and beyond.
Sep 2020: We are leading a new project with $4.5 million from ARPA-E to develop commercial carbon credit tools for farmland.
Jun 2020: Ph.D. student Genghong Wu from our lab got award from NASA Future Investigators in NASA Earth and Space Science and Technology.
May 2020: Our "Nature Plants" review paper provides visionary roadmaps of how to develop next-generation crop models for advancing crop breeding, precision agriculture, and assessing climate change adaptations.
Apr 2020: Our group's recent work in Global Change Biology, of quantifying the irrigation cooling benefits of improving crop yield for the U.S. Midwest irrigated maize.
Mar 2020: Our team developed a new algorithm framework to produce real-time field-scale evapotranspiration (ET, or crop water uses) for everywhere in the US. Going to cover everywhere in the planet.
Mar 2020: Our lab's Ph.D. student Hyungsuk Kimm led a new work to enable the monitoring of "Corn productivity in real time: Satellites, field cameras, and farmers team up".
Jan 2020: We lead a team of UIUC scientists to measure corn-soybean carbon emission "gold standard data" through DOE ARPA-e program.
Jan 2020: Our team used Nanosatellites to improve detection of early-season corn nitrogen stress.
Jun 2019: Our lab officially joins NASA Harvest Program, and a new project is developed to provide Illinois farmers actional guidance on field-level management by using NASA satellite data and process-based modeling.
Jun 2019: Thanks for the coverage by SC19 (Supercomputing Conference 2019) on our work and vision: "Food Production & HPC: Understanding Plant Growth From Above and Below".
Jun 2019: Our team, with Prof. Evan DeLucia, conducted a study on understanding increased crop water needs and potential irrigation expansion in the US Midwest in the future.
Jun 2019: Two recent collaborative works on hyperspectral phenotyping, with Prof. Carl Bernacchi, have been published with press releases.
May 2019: Press release on our recent AFM work about Australia wheat yield prediction.
Apr 2019: Press release on our recent GCB work about the excessive rainfall impacts on US maize production.
Apr 2019: Prof. Peng and my lab are awarded Amazon "Earth on AWS" Research Award.
Mar 2019: Our T-FACE project has been chosen to represent U. of I. in the SoAR Foundation's report of Retaking the Field: Science Breakthroughs for Thriving Farms and a Healthier Nation.
Feb 2019: NSF CAREER Award (UIUC ACES, UIUC NCSA).
Jan 2019: NCSA "Can you imagine" interview.
Dec 2018: AGU Global Environmental Change Early Career Award (UIUC ACES, UIUC NCSA).
Nov 2018: Highlighted in the NCSA's exhibits in SC18.
Sep 2018: Our algorithm predicts US end-of-season corn yield better than the USDA forecasts.
Aug 2018: R&D Magazine covers a story of our recent work in satellite crop applications.
Short Bio: Before I joined UIUC, I was a post-doctoral scholar working with Prof. David Lobell in the Center on Food Security and the Environment and Department of Environmental Earth System Science, Stanford University. My postdoc research was to study climate change impacts and adaptations on crop production and food security in West African and US. Specifically, I used empirical and process-based approaches to model drought and heat stress effects on staple crop production and assess possible adaptation pathways. I also worked with Dr. Joe Berry on using satellite-based photosynthesis measurements (sun-induced chlorophyll fluorescence) to quantify crop productivity. I briefly worked in the Climate Corporation to help their nitrogen modeling development between my Stanford and UIUC time.
Research Interests:
Ecohydrology, Terrestrial Carbon Cycle, Remote Sensing Applications (optical/thermal/microwave), Airborne Hyperspectral Application, Agro-ecosystem modeling, Crop Modeling and Forecasting, Biogeochemistry, Agriculture Adaptation to Climate Change
Peer-Reviewed Publications: (Google Scholar)
Our group's research portfolio includes the following three major categories with six specific areas (see below). Our group develops holistic solutions from sensing and monitoring, to modeling and quantification, for agricultural management practices, crop/feedstock carbon and GHG, and environmental conditions. The unique strength and innovation of our research group is the systematic thinking to integrate sensing (from satellite, airborne and ground sensing) with process models and AI to infer holistic agroecosystem dynamics, from aboveground to belowground conditions, covering the coupled water, carbon, nitrogen and energy cycles.
Sensing & Monitoring
Area 1: Satellite technology innovation and applications
Area 2: Hyperspectral sensing in ground and airborne platforms
Modeling & quantification
Area 3: Carbon, GHG and crop yield quantification
Area 4: Water resources and irrigation
Advancing theory and mechanisms
Area 5: Ecosystem-level ecohydrology and physiology
Area 6: Agricultural sustainability and climate change
All the peer-reviewed publications:
(* indicates corresponding authorship, bold italics underline indicates group members at Guan's group)
[142] Lee, Y., Khanna, M., Chen, L., Shi, R., Guest, J., BlancBetes, E., Jiang, C., Guan, K., Hudiburg, T., Delucia, E. (2023) "Quantifying uncertainties in greenhouse gas savings and mitigation costs with cellulosic biofuels". European Review of Agricultural Economics.
[141] Zhang, J.*, Guan, K.*, Zhou, W., Jiang, C., Peng, B., Pan, M., Grant, R.F., Franz, T.E., Suyker, A., Yang, Y., Chen, X., Lin, K., Ma, Z. (2023) "Combining remotely sensed evapotranspiration and an agroecosystem model to estimate center-pivot irrigation water use at high spatio-temporal resolution". Water Resources Research.
[140] Kimball, B.A. et al. (including Guan, K., Zhou, W., Peng, B.) (2023) "Prediction of Evapotranspiration and Yield of Maize An Inter-comparison among 41 Maize Models". Agricultural and Forest Meteorology.
[139] Liu, K., Harrison, M. et al. (including Guan, K.) (2023) "Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates". Nature Communications.
[138] Qin, Z.*, Guan, K.*, Zhou, W., Peng, B., Tang, J., Jin, Z., Grant, R., Hu, T., Villamil, M.B., DeLucia, E., Margenot, A., Umakant, M., Chen, Z., and Coppess, J. (2023) "Assessing long-term impacts of cover crops on soil organic carbon in the central U.S. Midwestern agroecosystems". Global Change Biology.
[137] Ma, Z., Guan, K.*, Peng, B.*, Sivapalan, M., Li, L., Pan, M., Zhou, W., Warner, R., and Zhang, J. (2023) "Agricultural nitrate export patterns shaped by crop rotation and tile drainage". Water Research 229, 119468.
[136] Wang, S.*, Guan, K.*, Zhang, C., Zhou, Q., Wang, S., Wu, X., Jiang, C., Peng, B., Mei, W., Li, K., Li, Z., Yang, Y., Zhou, W. and Ma, Z. (2022) "Cross-scale sensing of field-level crop residue fraction and tillage intensity: integrating field photos, airborne hyperspectral imaging, and satellite data". Remote Sensing of Environment, 285, 113366.
[135] Wang, S.*, Guan, K.*, Zhang, C., Jiang, C., Zhou, Q., Li, K., Qin, Z., Ainsworth, E.A., Margenot, A., and Herzberger, L. (2023) "Airborne hyperspectral imaging of cover crops through radiative transfer process-guided machine learning". Remote Sensing of Environment, 285, 113386.
[134] Zhou, Q., Wang, S., Liu, N., Townsend, P., Jiang, C., Peng, B., Verhoef, W. and Guan, K.* (2023) "Operational atmospheric correction of airborne hyperspectral imaging spectroscopy: algorithm evaluation, key parameter analysis, and machine learning emulators". ISPRS Journal of Photogrammetry and Remote Sensing, 196, 386-401.
[133] Burroughs, C.H., Montes, C.M., Moller, C.A., Mitchell, N.G., Michael, A.M., Peng, B., Kimm, H., Pederson, T.L., Lipka, A.E., Bernacchi, C.J., Guan, K., Ainsworth, E.A. (2022). "Reductions in Leaf Area Index, Pod Production, Seed Size and Harvest Index Drive Yield Loss to High Temperatures in Soybean". Journal of Experimental Botany, p.erac503.
[132] Deines, J. M., Guan, K., Lopez, B., Zhou, Q., White, C. S., Wang, S., and Lobell, D. B. (2022) "Recent cover crop adoption is associated with small maize and soybean yield losses in the United States". Global Change Biology, 29, 794–807.
[131] Zhou, Q., Guan, K.*, Wang, S.*, Jiang, C., Huang, Y., Peng, B., Chen, Z., Wang, S., Hipple, J., Schaefer, D., Qin, Z., Stroebel, S., Coppess, J., Khanna, M., and Cai, Y. (2022) "Recent rapid increase of cover crop adoption across the US Midwest detected by fusing multi-source satellite data". Geophysical Research Letters, p.e2022GL100249.
[130] Gustafson, D., Asseng, S., Fraisse, C., Guan, K., Hoogenboom, G., Kruger, C., Kruse, J., Matlock, M., Melnick, R., Parajuli, R., Rajagopalan, K. and et al. (2022) "In pursuit of more fruitful food systems". The International Journal of Life Cycle Assessment, 27(12), 1267-1269.
[129] Wu, J., He, R.J., Elizabeth, A.A., Wang, S., and Guan, K. (2022) "Distribution-Informed Neural Networks for Domain Adaptation Regression". NeurIPS 2022.
[128] Zhao, C., Stöckle, C.O., Karimi, T., Nelson, R.L., Evert, F.V.K., Pronk, A.A., Riddle, A.A., Marshall, E., Raymundo, R., Li, Y., Guan, K., Gustafson, D., Hoogenboom, G., and Asseng, S. (2022) "Potential benefits of climate change for potatoes in the United States". Environmental Research Letters, 17, 104034.
[127] Yang, Y., Liu, L., Zhou, W., Guan, K., Tang, J., Kim, T., Grant, R.F., Peng, B., Zhu, P., Li, Z., Griffis, T.J. and Jin, Z*. (2022) "Distinct driving mechanisms of non-growing season N2O emissions call for spatial-specific mitigation strategies in the US Midwest". Agricultural and Forest Meteorology, 324, p.109108.
[126] Jong, M., Guan, K.*, Wang, S., Huang, Y., and Peng, B. (2022) "Improving field boundary delineation in ResUnets via adversarial deep learning". International Journal of Applied Earth Observation and Geoinformation, 112, 102877.
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Virginia
[39] Lin,C.,
Gentine,P., Huang,Y., Guan,K., Kimm,H. et al.
(2018) "Diel
ecosystem
conductance response to vapor pressure deficit is
suboptimal and independent of soil moisture". Agricultural and Forest
Meteorology, 250-251, 24-34.
Media: Princeton University, EurekAlert/AAAS, ERL Editor's Featured Article
[37] Guan,K.*, Good,S.P., Caylor,K. K., Medvigy,D., Pan,M., Wood,E. F., SATO,H., Biasutti,M., Chen,M., Ahlstrom,A. and Xu,X. (2018) "Simulated sensitivity of African terrestrial ecosystem photosynthesis to rainfall frequency, intensity and rainy season length". Environmental Research Letters, 13(2), 025013.
[36] Xu,X., Medvigy,D., Trugman,A., Guan,K., Good,S.P., and Rodriguez-Iturbe,I. (2018) "Tree cover shows strong sensitivity to precipitation variability across global tropics". Global Ecology and Biogeography, 27, 450- 460.
[35] Peng,B.*, Guan,K.*, Chen,M., Lawrence,D.M., Pokhrel,Y., Suyker,A., ... Lu,Y. (2018) "Improving Maize Growth Processes in the Community Land Model: Implementation and Evaluation". Agricultural and Forest Meteorology, 250-251, 64-89.
Media: UIUC, NCSA, phys.org, Eurek/AAAS, ScienceDaily, MorningAgClips, HPCwire.
[34] Wu,J., Kobayashi,H., Stark,S., Meng,R., Guan,K., Tran,N. et al. (2018) "Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest". New Phytologist, 217: 1507-1520.
Media: NSF, Brookhaven Lab
[33] Li,Y.*, Guan,K.* et al. (2017) "Estimating global ecosystem iso/anisohydry using active and passive microwave satellite data". Journal of Geophysical Research-Biogeosciences, 122, 3306-3321.
[32] Peng,B., Zhao,T., Shi,J., Lu,H., Mialon,A., Kerr,Y.H., Liang,X., and Guan,K. (2017) "Reappraisal of the roughness effect parameterization schemes for L-band radiometry over bare soil". Remote Sensing of Environment.,199, 63-77.
[31] Guan,K.*, Wu,J., Kimball,J., Anderson,M., Li,B., and Lobell,D.B. (2017) "The shared and unique values of optical, fluorescence, thermal and microwave satellite data for estimating large-scale crop yields". Remote Sensing of Environment., 199, 333-349.
Media: UIUC, eoPortal
[30] Ahlström,A., Canadell,J.G., Schurgers,G., Wu,M., Berry,J.A., Guan,K., and Jackson,R.B. (2017) "Hydrologic resilience and Amazon productivity". Nature Communications, 8(387).
[29] Madani, N., Kimball,J., Jones,L., Parazoo,N.C., and Guan,K. (2017) "Global analysis of bioclimatic controls on ecosystem productivity using satellite observations of solar-induced chlorophyll fluorescence". Remote Sensing, 9(6), 530.
[28] Wu,J., Guan,K.,
Hayek,M. et al. (2017) "Partitioning
controls
on Amazon forest photosynthesis between
environmental and biotic factors at hourly to
inter-annual time scales". Global
Change Biology, 23(3), 1240-1257.
Media: UIUC
[26] Zhan,W., Guan,K., Wood,E.F. et al (2016) "Depiction of droughts over Sub-Saharan Africa using reanalysis precipitation datasets". Journal of Geophysical Research-Atmospheres, 121(18), 10555-10574.
[25] He,M., Kimball,J.S., Running,S, Ballantyne,A., Guan,K., and Heummrich,F. (2016) "Satellite detection of soil moisture related impacts on ecosystem productivity using the MODIS-based Photochemical Reflectance Index". Remote Sensing of Environment, 186, 173-183.
[24] Wagner,F.H. et al. (including Guan,K.) (2016) "Climate seasonality limits carbon assimilation and storage in tropical forests". Biogeosciences, 13, 2537-2562.
[23] Alden,C.B., Miller,J.B., Gatti,L.V., Gloor,M.M., Guan,K., ..., and Diffenbaugh,N.S. (2016) "Regional atmospheric CO2 inversion reveals seasonal and geographic differences in heat and drought impacts in the Amazon". Global Change Biology, 22, 3427-3443.
Media: CIRES, Stanford News
[22] Xu,X., Medvigy,D., Powers,J., Becknell,J., and Guan,K. (2016) "Diversity in plant hydraulic traits explains seasonal and inter-annual variations of vegetation dynamics in seasonally dry tropical forests". New Phytologist, 212, 80-95.
Comments: New Phytologist
[21] Wu,J., Chavana-Bryant,C., Prohaska,N., Serbin,S.P., Guan,K., Albert,L.P., Yang,X. ... and Saleska,S.R. (2016) "Convergence in relations among leaf traits, spectra and age across canopy environments and two contrasting tropical forests". New Phytologist, 214, 1033-1048.
[20] Saleska,S.R., Wu,J., Guan,K., Nobre,A.D. and Restrepo-Coupe,N. (2016) "Dry-season greening of Amazon forests". Nature, 531, pagesE4-E5.
Media: U. Arizona; UTS; ScienceDaily.
[19] Wu,J., Albert,L.P., Lopes,A.P., Restrepo-Coupe,N., Hayek,M. Wiedemann.,K. T., Guan,K., Stark,S.C., ..., and Saleska.,S.R. (2016) "Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests". Science, 351(6276), 972-976.
Media: Science; U. of Arizona; BNL; NSF.
[18] Good,S.P., Guan,K., and Caylor,K.K. (2016) "Global patterns of the contributions of storm frequency, intensity, and seasonality to inter-annual variability of precipitation". Journal of Climate, 29, 3-15.
[17] Guan,K.*, Berry,J., Zhang,Y., Joiner,J., Guanter,L., Badgley,G., and Lobell,D.B.. (2015) "Improving the monitoring of crop productivity using spaceborne solar-induced fluorescence". Global Change Biology, 22(2), 716726.
Media: Stanford News; Youtube
[16] Bahn,M., Reichstein,M., Guan,K., Moreno,J.M., Williams,C. (2015) "Climate extremes and biogeochemical cycles in the terrestrial biosphere: impacts and feedbacks across scales". Biogeosciences, 12, 4827-4830.
[15] Guan,K., Sultan,B., Biasutti,M., and Lobell,D.B. (2015) "What aspects of future rainfall changes matter for crop yields in West Africa". Geophysical Research Letters, 42(19).
[14] 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, 42, 4384-4393.
Media: UCSB Current; Phys.org; CIRC
[13] 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, 8, pages284-289.
Media: Water forms common thread in diverse rainforest ecosystems (Phys.org; Princeton University).
[12] 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).
Media: Climate change could cut West African sorghum yields by a fifth.
[11] Guan,K.*, Caylor,K.K., Good,S.P., Biasutti,M., Medvigy,D., Pan,M., Wood,E.F. and SATO,H. (2014) "Continental-scale impacts of intra-seasonal rainfall variability on simulated ecosystem responses in Africa". Biogeosciences, 11, 6939-6954.
[10] Reid,M.C, Guan,K., Wagner,F., and Mauzerall,D.L. (2014) "Global Methane Emission from Pit Latrines". Environmental Science and Technology, 48,8727-8734.
Media: Pit latrines: another source of greenhouse gas emissions.
[9] 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.
[8] Good,S.P., Soderberg,K., Guan,K., King,E.G., Scanlon,T., and 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.
[7] 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.
Media: UNESCO. African drought monitor;
[6] 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.
[5] 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.
[4] 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), art35.
[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.
[2] 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.
Media: "Agricultural chemical export dynamics in a watershed". EOS, 92(25), 21 June 2011.
[1] Li,X., Zhao,S., Ke,C. and Guan,K. (2007) "The Study of Methods of Quantitative Evaluation on Remotely Sensed Image Fusion (in Chinese)". Remote Sensing Technology and Application, 22(3).
Other Publications:
[8] Jing, B., Zhang, S., Zhu, Y., Peng, B., Guan, K., Margenot, A. and Tong, H., 2022. "Retrieval Based Time Series Forecasting". arXiv preprint arXiv:2209.13525.
[7] Gustafson. D., et al. (including Guan,K.) (2020) "Integrated Approach to Climate Adaptation and Mitigation: Processed Potato and Tomato". arxiv.org.
[6] Xu,K., Guan,K.*, Peng,J, Luo,Y., and Wang,S.(2019) "DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network". Research Square.
[5] Edwards,A, et al. (including Guan,K. and Li,Y.) (2018) "Sustainable and Equitable Increases in Fruit and Vegetable Productivity and Consumption are Needed to Achieve Global Nutrition Security". Position Paper resulting from a workshop organized by the Aspen Global Change Institute and hosted at the Keystone Policy Center, July 30-August 3, 2018.
[4] Gamon,J., Hmimina,G., Miao,G., Guan,K. et al.(2018) "Imaging Spectrometry and Fluorometry in Support of Flex: What Can We Learn from Multi-Scale Experiments?". IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.
[3] Guan,K., Hien,N.T., Zhan,L., and Rao,L.N.(2018) "Measuring rice yield from space: the case of Thai Binh Province, Viet Nam". ADB Economics Working Paper Series.
[2] Guan,K. (2013) "PhD dissertation: Hydrological variability on vegetation seasonality, productivity and composition in tropical ecosystems of Africa". Princeton University.
[1] Soderberg,K., Good,S.P., Guan,K. and King,E.G. (2011) "Ecohydrology: also know as growing grass". Mpala Memos, April 2011 issue, Mpala Research Centre and Wildlife Foundation, Laikipia, Kenya.
Professional Memberships:
American Geophysical Union (AGU) (2009-present)
European Geophysical Union (EGU) (2014-present)
American Meteorological Society (AMS) (2012-present)
Ecological Society of America (ESA) (2015-present)
Academic Services:
Manuscript reviewer: Science; Proceedings of National Academy of Science; Nature Geoscience; Global Change Biology; Remote Sensing of Environment; Journal of Geophysical Research-Biogeosciences; Global Ecology and Biogeography; Journal of Biogeography; Agricultural and Forest Meteorology; Biogeoscience; Water Resources Research; Journal of Hydrology; Hydrology and Earth System Sciences; New Phytologist; PLOS one; Journal of Arid Environments; Land; Journal of Hydrometeorology; International Journal of Biometeorology; Advances in Space Research; Geoinformatics & Geostatistics; Remote Sensing; IEEE Geoscience and Remote Sensing Letters; Journal of Selected Topics in Applied Earth Observations and Remote Sensing; Environmental Research Letters; International Journal of Climatology; Global Biochemcial Cycles.
Proposal reviewer: NASA, NSF, USDA, DOE.
Editor: [1] Guest editor for Special Issue: "Climate extremes and biogeochemical cycles in the terrestrial biosphere: impacts and feedbacks across scale" in Biogeosciences.
[2] Guest editor for Special Issue: "Ecophysiological Remote Sensing" in Remote Sensing.
[3] Guest editor for Special Issue: "Advances in remote sensing and modeling towards sustainable agriculture in a changing climate" in Frontiers in Big Data.
[4] Selected special editor for Proceedings of National Academy of Science (PNAS).
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