 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: 2016-Present: Assistant Professor (NRES) Blue Waters Professor (NCSA) Affiliated Professor (CEE, Crop Sciences, Geography) 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: 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%), Ministry of Education, 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 Mar 16, 2019 by Kaiyu Guan All rights reserved. |
Kaiyu Guan (管开宇)
University of Illinois at Urbana Champaign
I
got my PhD 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 PhD
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 Assistant
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, field work, 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-life
challenges.
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 & 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.
Recent News:
Aug 2018: R&D Magazine covers a story of our recent work in satellite crop applications.
Sep 2018: Our algorithm predicts US end-of-season corn yield better than the USDA forecasts.
Nov 2018: Highlighted in the NCSA's exhibits in SC18.
Dec 2018: AGU Global Environmental Change Early Career Award (UIUC ACES, UIUC NCSA).
Jan 2019: NCSA "Can you imagine" interview.
Feb 2019: NSF CAREER Award (UIUC ACES, UIUC NCSA).
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
Apr 2019: Prof. Peng and my lab are awarded Amazon "Earth on AWS" Research Award. Kudos goes to the PhD student Adam Stewart.
Recruitment: I have plans to recruit highly motivated PhD students and postdocs with full supports in the coming years in the area of "hydrolgoical and/or biogeochemical modeling" and "vegetation hyperspectral sensing". Please contact me with your CV and research ideas. PhD student positions are available all years around: *HERE*. A new postdoc position is available right now: *HERE*.
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 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 & 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.
Recent News:
Aug 2018: R&D Magazine covers a story of our recent work in satellite crop applications.
Sep 2018: Our algorithm predicts US end-of-season corn yield better than the USDA forecasts.
Nov 2018: Highlighted in the NCSA's exhibits in SC18.
Dec 2018: AGU Global Environmental Change Early Career Award (UIUC ACES, UIUC NCSA).
Jan 2019: NCSA "Can you imagine" interview.
Feb 2019: NSF CAREER Award (UIUC ACES, UIUC NCSA).
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
Apr 2019: Prof. Peng and my lab are awarded Amazon "Earth on AWS" Research Award. Kudos goes to the PhD student Adam Stewart.
Recruitment: I have plans to recruit highly motivated PhD students and postdocs with full supports in the coming years in the area of "hydrolgoical and/or biogeochemical modeling" and "vegetation hyperspectral sensing". Please contact me with your CV and research ideas. PhD student positions are available all years around: *HERE*. A new postdoc position is available right now: *HERE*.
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 Remote Sensing Applications (optical/thermal/microwave), Crop Modeling and Forecasting, Agriculture Adaptation to Climate Change, Vegetation Dynamic Modeling, Biogeography, Drought, Vegetation Phenology, Tropical Ecology
Peer-Reviewed Publications: (Google Scholar)
(*
indicates corresponding authorship, bold
italics underline indicates
postdocs or students mentored
by Guan)
Published, In Press, and Accepted
[56] Li, Y.*, Guan, K.*, Schnitkey, G., DeLucia, E., & Peng, B. (2019) "Excessive rainfall leads to considerable yield loss as drought for corn in the US", Global Change Biology.
[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., Potgieter, et al. (2019) "Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches", Agricultural and Forest Meteorology.
[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.
[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.
[48]
Zeng, Z., Estes, L., Chen, A., Searchinger, T., Hua, F., Guan,
K.,
and Wood, E. (2018) "Highland
cropland expansion and
forest loss in Southeast Asia in the 21st century", Nature
Geoscience.
Media: Princeton
University
[47] Guan, K.*, Li, Z., Rao, N., Feng, G, etc (2018) "Using MODIS-Landsat fused data and ALOS-2/PARSAR-2 to map paddy rice and estimate crop yield for Thai Binh Province in Viet Nam", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[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.
[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.
[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.
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
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.
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.
[36] Xu, X., Medvigy, D., Trugman, A., Guan, K., Good, S., and Rodriguez-Iturbe, I. (2018) "Tree cover shows strong sensitivity to precipitation variability across global tropics", Global Ecology and Biogeography.
[35] Peng, B.*, Guan, K.*, Chen, M., Lawrence, D., 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.
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.
[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 (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.
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.
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.
[20] Saleska, S.R., Wu, J., Guan, K., Nobre, A.D. and Restrepo-Coupe, N. (2016) "Dry-season greening of Amazon forests", Nature.
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., M., Biasutti, M., 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.
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.
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., Fabian Wagner, 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., 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.
African drought monitor; Media: UNESCO.
[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:
[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.
Synergistic Activities:
[1] Session chair, Climate Change: Agriculture, Water Resources and Ecological Responses, Annual Meeting of the Association of American Geographers, New York, Feb 2012.
[2] Convener (with Stephen Good, Kelly Caylor and Youngryle Ryu), B005. Beyond changes in mean climate: the impacts of climate variability on terrestrial ecosystems, AGU Fall Meeting, Dec 2013.
[3] Convener (with Alyssa Whitecraft, Debara Peters, and David Lobell), B44. Advances in Earth Observations for regional to global agricultural monitoring: GEOGLAM and other activities, AGU Fall Meeting, Dec 2015.
[4] Convener (with Jin Wu, Scott Saleska, and Xi Yang), B051. Climatic controls on vegetation dynamics in tropical forests, AGU Fall Meeting, Dec 2015. <script>
[5] Convener (with Yongguang Zhang, Joanna Joiner, and Xi Yang), Chlorophyll fluorescence as a proxy of photosynthesis: from field to satellite measurements, modeling and applications, AGU Fall Meeting, Dec 2016.
[6] Convener (with Yongguang Zhang, Joanna Joiner, and Xi Yang), Chlorophyll fluorescence as a proxy of photosynthesis: from field to satellite measurements, modeling and applications, AGU Fall Meeting, Dec 2017. <<s (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
(i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
})(window,document,'script','//www.google-analytics.com/analytics.js','ga');
ga('create', 'UA-64495156-1', 'auto');
ga('send', 'pageview');
</script>