  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) 2016-Present: Affiliated Professor (Crop Sciences, 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: 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 July 24, 2021 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 ecohydrology and remote sensing
in the Department
of Natural Resources and
Environmental Sciences (NRES), College
of Agricultural,
Consumer and
Environmental Sciences (ACES) at the University
of Illinois at Urbana-Champaign,
and at the National Center
for
Supercomputing Applications (NCSA).
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 the domain knowledge, 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
Recruitment: We are recruiting highly motivated Ph.D. students and postdocs with full supports in the coming year. Details are available right now: *HERE*.
Recent News:
Jul 2021: PBS Now 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.
Jul 2021: Our collaborative study with University of Minnesota's Zhenong Jin team led to improved estimation of N2O emission for the whole U.S. Corn Belt!
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.
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 the domain knowledge, 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
Recruitment: We are recruiting highly motivated Ph.D. students and postdocs with full supports in the coming year. Details are available right now: *HERE*.
Recent News:
Jul 2021: PBS Now 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.
Jul 2021: Our collaborative study with University of Minnesota's Zhenong Jin team led to improved estimation of N2O emission for the whole U.S. Corn Belt!
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)
(*
indicates corresponding authorship, bold
italics underline indicates
postdocs or students mentored
by Guan)
Published, In Press, and Accepted
[103] Zhang, J.*, Guan, K.*, Peng, B.*, Pan, M., Zhou, W., Jiang, C., Kimm, H. and et al. (2021) “Sustainable irrigation based on co-regulation of soil water supply and atmospheric evaporative demand”. Nature Communications.
[102] Qin, Z.*, Guan, K*, Zhou, W., Peng, B., Villamil, B., Jin, Z., Tang, J., Grant, R., Gentry, L., Margenot, A., Bollero, G. and Li, Z., (2021) “Assessing the impacts of cover crops on maize and soybean yield in the U.S. Midwestern agroecosystems”. Field Crops Research.
[101] Jiang, C.*, Guan, K.*, Khanna, M.*, Chen, L. and Peng, J. (2021) “Assessing marginal land availability based on land use change information in the Contiguous United States”. Environmental Science & Technology.
[100] Kim, T., Jin, Z., Smith, T., Yang, Y., Yang, Y., Liu, L., Phillips, K., Guan, K., Hunter, L., and Zhou., W. (2021) “A metamodeling approach to identifying nitrogen loss hotspots and mitigation potential in the US Corn Belt”. Environmental Research Letters.
[99] Zhou, W.*, Guan, K.*, Peng, B.*, Tang, J., Jin, Z., Jiang, C., Grant R., and Mezbahuddin S. (2021) “Quantifying carbon budget, crop yields and their responses to environmental variability using the ecosys model for U.S. Midwestern agroecosystems”. Agricultural and Forest Meteorology, 307, 108521.
[98] Khanna, M., Chen, L. et al (including Guan, K., Jiang, C.) (2021) “Redefining Marginal Lands for Bioenergy Crop Production”. GCB Bioenergy.
[97] Gustafson, D., Asseng, S. Kruse, J., Thoma, G., Guan, K. et al. (2021) “Integrated Approach to Climate Adaptation and Mitigation: Processed Potato and Tomato”. Nature Food.
[96] Lin, C., Jin, Z., Mulla, D., Ghosh, R., Guan, K., Kumar, V., and Cai, Y., (2021) "Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco". Remote Sensing, 13(9), 1740.
[95] Xu, T., Guan, K., Peng, B. and Zhao, L., (2021) “Machine Learning-based Modeling of Spatio-temporally Varying Responses of Rainfed Corn Yield to Climate, Soil and Management in the U.S. Corn Belt”, Frontiers in Artificial Intelligence.
[94] Kimm, H.*, Guan, K.*, Burroughs, C., Peng, B., Ainsworth, E., Bernacchi, C., Moore, C., Kumagai, E., Yang, X., Berry, J. and Wu, G., (2021) “Quantifying high-temperature stress on soybean canopy photosynthesis: the unique role of sun-induced chlorophyll fluorescence”, Global Change Biology.
[93] Zhang, J.*, Guan, K.* (Equal Contribution), Peng, B., Jiang, C., Zhou, W., Yang, Y., Pan, M., Franz, T.E., Heeren, D.M., Rudnick, D.R. and Abimbola, O., Kimm, H., Caylor, K., Good, P, S., Khanna, M., Gates, J. and Cai, Y., (2021) “Challenges and opportunities in precision irrigation decision-support systems for center pivots”, Environmental Research Letters.
Media: NSF, FutureFarming
[92] Hao, D., Asrar, R. G., Zeng, Y., Yang, X., Li, X., Xiao, J., Guan, K., Wen, J., Xiao, Q., Berry A., J., and Chen, M., (2021) “Potential of hotspot solar-induced chlorophyll fluorescence for better tracking terrestrial photosynthesis”, Global Change Biology.
[91] Kong, J., Ryu, Y., Huang, Y., Dechant, B., Houborg, R., Guan, K., and Zhu, X. (2021). “Evaluation of four image fusion NDVI products against in-situ spectral-measurements over a heterogeneous rice paddy landscape",Agricultural and Forest Meteorology, 297, 108255.
[90] Jiang, C.*, Guan, K.*, Wu, G., Peng, B., and Wang, S. (2021) “A daily, 250 m, and real-time gross primary productivity product (2000–present) covering the Contiguous United States”, Earth System Science Data, 13, 281-298, 2021.
Media: CABBI
[89] Zeng, Z. et al. (including Guan, K.) (2020) “Deforestation-induced warming over tropical mountain regions regulated by elevation”, Nature Geoscience, 1-7.
[88] Xia, Y., Guan, K., Copenhaver, K., and Wander, M. (2020) “A Multi-site Estimation of Cover Crop Biomass and N Credits using Sentinel-2 Satellite Imagery and Site-based Covariates”, Agronomy Journal.
[87] Yang, Y.*, Guan, K.*, Peng, B., Pan, M., Jiang, C., and Franz, E., T. (2020) “High-resolution spatially explicit land surface model calibration using field-scale satellite-based daily evapotranspiration product”, Journal of Hydrology.
[86] Wu, G.*, Guan, K.*, Li, Y., Novick, K., Feng, X., McDowell, N., Konings, A., Thompson, S., Kimball, J., De Kauwe, M., Ainsworth, E.A., and Jiang, C. (2020) “Interannual variability of ecosystem iso/anisohydry is regulated by environmental dryness”, New Phytologist.
[85] Luo, Y., Guan, K.*, Peng, J., Wang, S., and Huang, Y. (2020) “Stair 2.0: A Generic and Automatic Algorithm to Fuse Modis, Landsat, and Sentinel-2 to Generate 10m, Daily, and Cloud-/Gap-Free Surface Reflectance Product”, Remote Sensing, 12(19), 3209.
[84] Wang, S.*, Guan, K.*, Zhou, W., Ainsworth, E.A., Zheng, T., Townsend, P.A., Li, K., Moller, C., Wu, G., and Jiang, C. (2020) “Unique contributions of chlorophyll and nitrogen to predict crop photosynthetic capacity from leaf spectroscopy”, Journal of Experimental Botany.
[83] Zhou, W.*, Guan, K.*, Peng, B., Shi, J., Jiang, C., Wardlow, B., Pan, M., Kimball, J.S.,Franz, T.E., Gentine, P., He, M., and Zhang, J., (2020) "Connections between the hydrological cycle and crop yield in the rainfed U.S. Corn Belt", Journal of Hydrology, 125398.
[82] Paul, R. F., Cai, Y., Peng, B., Yang, W. H., Guan, K., & DeLucia, E. H., (2020) "Spatiotemporal Derivation of Intermittent Ponding in a Maize–Soybean Landscape from Planet Labs CubeSat Images", Remote Sensing, 12(12), 1942.
[81] Franz,E.T., Pokal,S., Gibson,P.J., Zhou,Y., Gholizadeh,H., TenorioA.F., Rudnick,D.,Heeren,D., McCabe,M., Ziliani,M., Jin,Z., Guan,K., Pan,M, Gates,J., and Wardlow,B., (2020) "The role of topography, soil, and remotely sensed vegetation condition towards predicting crop yield", Field Crops Research, 252.
[80] Wang,J., Yang,D., Detto,M., Nelson,B., Chen,M., Guan,K., Wu,S., Yan,Z., and Wu,J., (2020) "Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest", Remote Sensing of Environment, 246, 111865.
[79] Peng,B.*, Guan,K.*, Zhou,W., Jiang,C., Frankenberg,C., Sun,Y., He,L., and Kohler,P. (2020) "Assessing the benefit of satellite-based Solar-Induced Chlorophyll Fluorescence in crop yield prediction", International Journal of Applied Earth Observation and Geoinformation, 90, 102126.
[78] Gao,Y., Wang,S., Guan,K., Wolanin,A., You,L., Ju,W., and 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), 1111.
[77] Peng,B.*, Guan,K.*, et al. (2020) "Towards a multiscale crop modelling framework for climate change adaptation assessment", Nature Plants, 6(4), 338-348.
Media: U of I news bureau, AAAS
[76] He,L.,Magney,T.,Dutta,D.,Yin,Y.,Kohler,P.,Grossmann,K.,Stutz,J.,Dold,C.,Hatfield,J., Guan,K., Peng,B., and Frankenberg,C. (2020) "From the ground to space: Using solar-induced fluorescence (SIF) to estimate crop productivity", Geophysical Research Letters, 47(7), e2020GL087474.
[75] Wang,C.*, Guan,K.*, Peng,B.,Chen,M., Jiang,C.,Zeng,Y., Wu,G., Wang,S., Wu,J., Yang,X., Frankenberg,C., Kohler,P., Berry,J., Bernacchi,C., Zhu,K, Alden,C., and Miao,G. (2020) "Satellite footprint data from OCO-2 and TROPOMI reveal significant spatio-temporal and inter-vegetation type variabilities of solar-induced fluorescence yield in the U.S. Midwest", Remote Sensing of Environment, 241.
[74] Jiang,C.*, Guan,K.*, Pan,M., Ryu,Y., Peng,B., and Wang,S. (2020) "BESS-STAIR: a framework to estimate daily, 30-meter, and allweather crop evapotranspiration using multi-source satellite data for the U.S. Corn Belt", Hydrology and Earth System Science, 24, 1251-1273.
Media: AAAS, CABBI, EGU
[73] Kimm,H.*, Guan,K.*, Gentine,P., Wu,J., Lin,C., Bernacchi,C.J., and Sulman,B.N. (2020) "Redefining droughts for the U.S. Corn Belt: The dominant role of atmospheric vapor pressure deficit over soil moisture in regulating stomatal behavior of Maize and Soybean", Agricultural and Forest Meteorology, 287.
[72] Benes,B., Guan,K., Lang,M., Long,S., Lynch,J., Marshall-Colon,A., Peng,B., Schnable,J., Sweetlove,L. and Turk,M. (2020) "Multiscale computational models can guide experimentation and targeted measurements for crop improvement", The Plant Journal.
[71] Meacham-Hensold,K., Fu,P., Wu,J., Serbin,S., Montes,C.M., Ainsworth,E. Guan,K., Dracup,E., Pederson,T. and Bernacchi C. (2020) "Plot level rapid screening for photosynthetic parameters using proximal hyperspectral imaging", Journal of Experimental Botany, 71(7), 2312-2328.
[70] Miao,G.*, Guan,K.*, Suyker,A.E., Yang,X., Arkebauer,T.J., Walter-Shea,E.A., Kimm,H., Hmimina,G.Y., Gamon,J.A., Franz,T.E., Frankenberg,C., Berry,J.A., and Wu,G. (2020) "Varying contributions of drivers to the relationship between canopy photosynthesis and far-red sun-induced fluorescence for two maize sites at different temporal scales", Journal of Geophysical Research - Biogeosciences, 125, e2019JG005051.
[69] Fu,P., Meacham,K., Guan,K., Jin,W., and Bernacchi, C. (2020) "Estimating photosynthetic traits from reflectance spectra: A synthesis of spectral indices, numerical inversion, and partial least square regression", Plant, Cell & Environment, 00, 1-18.
[68] Kimm,H.*, Guan,K.*, Jiang,C., Peng,B., Gentry,L.F., Wilkin,S.C., Wang,S., Cai,Y., Bernacchi,C.J., Peng,J., and Luo,Y. (2020) "Deriving high-spatiotemporal-resolution leaf area index for agroecosystems in the U.S. Corn Belt using Planet Labs CubeSat and STAIR fusion data", Remote Sensing of Environment, 239.
Media: U. of I. ACES, Youtube
[67] Cheng,Y. Huang,M., Chen,M., Guan,K., Bernacchi,C., Peng,B., and 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 for Modeling the Earth System, 12, e2019MS001719.
[66] Li,Y.*, Guan,K.*, Peng,B., Franz,T.E., Wardlow,B., and Pan,M. (2020)"Quantifying irrigation cooling benefits to maize yield in the Midwest US", Global Change Biology, 00, 1-14.
Media: U. of I. ACES
[65] Kim,N., Zabaloy,M.C., Guan,K., Villamil,M.B. (2020) "Do cover crops benefit soil microbiome? A meta-analysis of current research", Soil Biology and Biochemistry, 142.
[64] Wu,G., Guan,K.*, Jiang,C.*, Peng,B., Kimm,H., Chen,M., Yang,X., Wang,S., Suyker.A.E.,Bernacchi,C. and Moore, C.E. (2019) "Radiance-based NIRv as a proxy for GPP of corn and soybean", Environmental Research Letters, 15.
[63] Cai,Y., Guan,K.*, Nafziger,E., Chowdhary,G., Peng,B., Jin,Z., Wang,SW, and Wang,Sibo (2019) "Detecting In-Season Crop Nitrogen Stress of Corn for Field Trials Using UAV- and CubeSat-Based Multispectral Sensing", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(12), 5153-5166.
Media: U. of I. ACES, Successful Farming
[62] Riccetto,S., Davis,A.S., Guan,K., and Pittelkow,C.M. (2019) "Integrated assessment of crop production and resource use efficiency indicators for the U.S. Corn Belt", Global Food Security, 24.
[61] He,M., Kimball,J., Yi,Y., Running,S., Guan,K., Jencso,K., Maxwell,B., and Maneta,M. (2019), "Impacts of the 2017 flash drought in the US Northern Plains informed by satellite-based evapotranspiration and solar-induced fluorescence", Environmental Research Letters, 14.
[60] Fu,P., Meacham-Hensold,K., Guan,K., and Bernacchi,C. (2019), "Hyperspectral Leaf Reflectance as Proxy for Photosynthetic Capacities: An Ensemble Approach Based on Multiple Machine Learning Algorithms", Frontiers in Plant Science, 10.
Media: UIUC RIPE
[59] Meacham-Hensold,K., Montes,C.M., Wu,J., Guan,K., Ainsworth,E.A., Pederson,T., Moore,C.E., Brown,K.L., Raines,C., and Bernacchi,C. (2019) "High-throughput field phenotyping using hyperspectral reflectance and partial least squares regression (PLSR) reveals genetic modifications to photosynthetic capacity", Remote Sensing of Environment, 231.
Media: UIUC RIPE
[58] He,M., Kimball,J.S., Yi,Y., Mu,Q., Running,S., Guan,K., Maneta,M., Moreno,A., and Wu,X. (2019) "Satellite data-driven modeling of field scale evapotranspiration in croplands using the MOD16 algorithm framework ", Remote Sensing of Environment, 230.
[57] DeLucia,E.H., Chen,S., Guan,K., Peng,B., Li,Y. et al. (2019) "Are We Approaching a Water Ceiling to Maize Yields in the United States?", Ecosphere, 10(6) e02773.
Media: U. of I. News Bureau, WIRED, Phys.org, Earth.com
[56] Li,Y.*, Guan,K.*, Schnitkey,G., DeLucia,E.H., & Peng,B. (2019) "Excessive rainfall leads to maize yield loss of a comparable magnitude to extreme drought in the United States", Global Change Biology, 25, 2325- 2337.
Media: U. of I. News Bureau, PrairiePress
[55] Li,Y.*, Guan,K.* et al. (2019) "Towards building a transparent statistical model for improving crop yield prediction: Modeling rainfed corn in the U.S.", Field Crop Research, 234, 55-66.
[54] Cai,Y., Guan,K.*, Lobell,D.B., Potgieter,A. et al. (2019) "Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches", Agricultural and Forest Meteorology, 274, 144-159.
Media: U. of I. ACES, NSF
[53] Felfelani,F., Pokhrel,Y., Guan,K., and Lawrence,D. M. (2018) "Utilizing SMAP Soil Moisture Data to Constrain Irrigation in the Community Land Model", Geophysical Research Letters, 45(23), 12,892-12,902.
[52] Peng,
B.*, Guan,
K.*, Pan, M., and Li,
Y. (2018) "Benefits
of seasonal climate prediction
and satellite data for forecasting US maize yield", Geophysical
Research
Letters, 45.
Media: U
of I ACES, AgWeb,
Phys.org, GrainCentral
[51] Xu,Z., Guan,K., Casler,N., Peng,B., and Wang,S. (2018) "A 3D convolutional neural network method for land cover classification using LiDAR and multi-temporal Landsat imagery", ISPRS Journal of Photogrammetry and Remote Sensing, 114, 423-434.
[50] Xia,Y., Ugarte,C.M., Pentrak,M., Guan,K., and Wander,M.(2018) "Developing Near- and Mid-Infrared Spectroscopy Analysis Methods for Rapid Assessment of Soil Quality in Illinois", Soil Science Society of America Journal, 82(6), 1415-1427.
[49] Yang,X., Shi,H., Stovall,A., Guan,K., Miao,G., et al. (2018) "FluoSpec2 - An automated field spectroscopy system to monitor canopy solar-induced fluorescence", Sensors, 18.
[48]
Zeng,Z., Estes,L., Chen,A., Searchinger,T., Hua,F., Guan,K.,
and Wood,E.F. (2018) "Highland
cropland expansion and
forest loss in Southeast Asia in the 21st century", Nature
Geoscience, 11, 556-562.
Media: Princeton
University
[47] Guan,K.*, Li,Z., Rao,N., Feng,G, etc (2018) "Mapping Paddy Rice Area and Yields Over Thai Binh Province in Viet Nam From MODIS, Landsat, and ALOS-2/PALSAR-2", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, 2238-2252.
[46] Song,L., Guanter,L., Guan,K., ..., Zhang,Y. (2018) "Satellite chlorophyll fluorescence captures heat stress for the winter wheat in the Indo-Gangetic Plains, India", Global Change Biology, 24, 4023- 4037.
[45] Luo,Y.,
Guan,K.*,
and Peng,J.*
(2018) "STAIR:
A generic and fully-automated method to fuse
multiple sources of optical satellite data to generate a
high-resolution, daily and cloud-/gap-free surface reflectance
product", Remote
Sensing of Environment, 214, 87-99.
Media: UIUC, Youtube,
NSF,
Phys.org
[44] Urban,D.*, Guan,K.*, and Jain,M. (2018) "Estimating sowing dates from satellite data over the U.S. Midwest: a comparison of multiple sensors and metrics", Remote Sensing of Environment, 211, 400-412.
[43] Liu,Y.Y. et al. (including Guan,K.) (2018) "Enhanced canopy growth precedes senescence in 2005 and 2010 Amazonian droughts", Remote Sensing of Environment, 211, 26-37.
[42] Zhang,Y., Guanter,L., Joiner,J., Lian,S., and Guan,K. (2018) "Spatially-explicit monitoring of crop photosynthetic capacity through space-based chlorophyll fluorescence data", Remote Sensing of Environment, 210, 362-374.
[41] Cai,Y., Guan,K.*,
Peng,J.*, Wang,S., Seifert,C., Wardlow,B., and Li,Z. (2018)
"A
high-performance and in-season classification system of
field-level crop types using time-series Landsat data and a machine
learning
approach", Remote
Sensing of Environment,210, 35-47.
Media: UIUC
ACES, NVIDIA,
R&DMag,
WeatherNation,
Phys.org, Landsat.USGS.gov,
HPCwire
[40] Miao,G.*,
Guan,K.*,
Yang,Xi, et al. (2018)
"Sun-induced
chlorophyll fluorescence, photosynthesis, and light use efficiency of a
soybean field from
seasonally continuous measurements", Journal
of Geophysical Research-Biogeosciences, 123, 610-623.
Media: UIUC
IGB, EurekAlert/AAAS,
UIUC
ACES, New
Food, Phys.org,
University
of 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.
[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] Ahlstrom,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).
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.*, 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, 22(2).
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).
[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:
[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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