PUBLICATIONS

(Sun lab graduate students*, postdocs+, corresponding author)

Under Review

36. +Chang, C.Y., *R. Zhou, +O. Kira, S. Marri, J. Skovira, L. Gu, and Sun, Y. (2020), An Unmanned Aerial System (UAS) for concurrent measurements of solar-induced chlorophyll fluorescence and hyperspectral reflectance toward improving crop monitoring

35. Joiner, J., Y. Yoshida, P. Köhler, C. Frankenberg, P.K. Campbell, N.C. Parazoo, C. van der Tol, L. Guanter, and Sun, Y. (2020), A data driven approach towards addressing systematic orbital geometry- and cloud-dependent variations in satellite solar-induced fluorescence (SIF) retrievals

34. Peng, B., K. Guan, W. Zhou, C. Jiang, L. He, C. Frankenberg, Sun, Y., P. Köhler (2020), Assessing the benefit of satellite-based Solar-Induced Chlorophyll Fluorescence in crop yield prediction

33. *Fan, Y., *Wen, J., +O. Kira, A.J. McDonald, C.B. Barrett, A. Ortiz-Bobea, Y. Liu, L. You, Z. Qiu, *C. Wang, and Sun, Y. (2020), Chlorophyll Fluorescence Improves Satellite-Based Crop Yield Estimation in Diverse Agricultural Landscapes

32. He, L., C. Frankenberg, J. D. Wood, Sun, Y., P. Köhler, T.S. Magney, D. Dutta, Y. Zhang (2020), Satellite solar-induced fluorescence tracks seasonal and interannual variability in photosynthetic downregulation in response to water stress at a temperate deciduous forest  

 

2020
31. +Chang, C.Y., L. Guanter, C. Frankenberg, P. Köhler, L. Gu, T.S. Magney, K. Grossmann, and Sun, Y. (2020), Systematic assessment of retrieval methods for ground solar-induced chlorophyll fluorescence (SIF) using high-frequency automated field spectroscopy, JGR Biogeosciences. doi.org/10.1029/2019JG005533

30. +Kira, O., and Sun, Y.  (2020), Extraction of sub-pixel C3/C4 emissions of solar-induced chlorophyll fluorescence (SIF) using artificial neural network, ISPRS J PHOTOGRAMM.  doi.org/10.1016/j.isprsjprs.2020.01.017

 

29. *Wen, J., P. Köhler, G. Duveiller, N.C. Parazoo, *L. Yu, +C.Y. Chang, and Sun, Y. (2020), A Framework for Harmonizing Multiple Satellite Instruments to Generate a Long-Term Global High Spatial-Resolution Solar-Induced Chlorophyll Fluorescence (SIF), Remote Sens. Environ. doi.org/10.1016/j.rse.2020.111644

 

2019

28. Knauer, J., S. Zaehle, M. De Kauwe, V. Haverd, M. Reichstein, Sun, Y. (2019), Mesophyll conductance in land surface models: effects on photosynthesis and transpiration, The Plant Journal. doi.org/10.1111/tpj.14587

27. Parazoo, N., C. Frankenberg, P. Köhler, J. Joiner, Y. Yoshida, T. Magney, Sun, Y., V. Yadav, (2019), Towards a harmonized long-term spaceborne record of far-red solar-induced fluorescence, J. Geophys. Res.  doi.org/10.1029/2019JG005289

26. Gonsamoa, A., J.M. Chen, L.He, C.Rogers, J. Liu, Sun, Y., Dara Entekhabi (2019), Exploring SMAP and OCO-2 observations to monitor soil moisture control on photosynthetic activity of global drylands and croplands, Remote Sens. Environ. doi.org/10.1016/j.rse.2019.111314

25. Peng, Y., O. Kira, A. Gitelson, A. Nguy-Robertson, T. Arkebauer, Sun, Y., A. Suyker (2019), Gross Primary Production Estimation in Crops Using Solely Remotely Sensed Data, Agronomy Journal. doi:10.2134/agronj2019.05.0332

24. Magney, T.S., C. Frankenberg, P. Köhler, G. North, T.S. Davis, C. Dold, D. Dutta, J. B. Fisher, K. Grossmann, A. Harrington, J. Hatfield, J. Stutz, Sun, Y., A. Porcar-Castell (2019), Disentangling changes in the spectral shape of chlorophyll fluorescence: Implications for remote sensing of photosynthesis, J. Geophys. Res. doi: 10.1029/2019JG005029

23. *Wang, C., J. Beringer, L.B. Hutley, J. Cleverly, J. Li, Q. Liu, Sun, Y. (2019), Phenology Dynamics of Dryland Ecosystems Along North Australian Tropical Transect (NATT) Revealed by Satellite Solar-Induced Chlorophyll Fluorescence (SIF), Geophys. Res. Lett. doi: 10.1029/2019GL082716

22. Gu, L., J. Han, J.D. Wood, +C.Y. Chang, Sun, Y. (2019), Sun-Induced Chlorophyll Fluorescence and its importance for modeling photosynthesis from the side of light reactions, New Phytologist. doi: 10.1111/nph.15796

21. Dutta, D., D.S. Schimel, Sun, Y., C. van der Tol, C. Frankenberg (2019), Optimal Inverse Estimation of Ecosystem Parameters from Observations of Carbon and Energy Fluxes (2019), Biogeoscences. doi.org/10.5194/bg-16-77-2019

20. *Yu, L., *J. Wen, +C.Y. Chang, C. Frankenberg, Sun, Y.  (2019), High Resolution Global Contiguous Solar-Induced Chlorophyll Fluorescence (SIF) of Orbiting Carbon Observatory-2 (OCO-2), Geophys. Res. Lett. doi.org/10.1029/2018GL081109

 

2018

19. Liu, J., K.W. Bowman, D. Schimel, N. C. Parazoo, Z. Jiang, M. Lee, A. A. Bloom, D. Wunch, C. Frankenberg, Sun, Y., C. W. O’Dell, K. R. Gurney, D. Menemenlis, M. Girerach, D. Crisp, and A. Eldering (2018), Response to Comment on “Contrasting carbon cycle responses of the tropical continents to the 2015-2016 El Nino”, Science, doi: 10.1126/science.aat1211

18. Gu, L., J.D. Wood, +C.Y. Chang, Sun, Y. (2018), Advancing Terrestrial Ecosystem Science with a Novel Automated Measurement System for Sun-Induced Chlorophyll Fluorescence for Integration with Eddy Covariance Flux Networks, J. Geophys. Res. doi.org/10.1029/2018JG004742

17. Sun, Y., C. Frankenberg, M. Jung, J. Joiner, L. Guanter, P. Köhler, T. Magney (2018), Overview of Solar-induced chlorophyll fluorescence from the Orbiting Carbon Observatory-2: Retrieval, cross-mission comparison, and global monitoring for GPP, Remote Sens. Environ., doi.org/10.1016/j.rse.2018.02.016

16. Zhang, Y., X. Xiao, Y. Zhang, S. Wolf, S. Zhou, U. Joiner, L. Guanter, M. Verma, Sun, Y., X. Yang, E. Paul-Limoges, C. Gough, G. Wohlfahrt, B. Gioli, C. van der Tol, N. Yann, M. Lund, A. Grandcourt (2018), On the relationship between sub-daily instantaneous and daily total gross primary production: Implications for interpreting satellite-based SIF retrievals. Remote Sens. Environ.doi.org/10.1016/j.rse.2017.12.009

 

2017

15. Sun, Y., C. Frankenberg, J. W. Wood, D. S. Schimel, M. Jung, L. Guanter, D.T. Drewry, M. Verma, A. Porcar-Castell, T. J. Griffs, L. Gu, T. S. Magney, P. Köhler, B. Evans, K. Yuen (2017), OCO-2 advances photosynthesis observation from space via solar-induced chlorophyll fluorescence, Science, doi: 10.1126/science.aam5747

14. Liu, J., K.W. Bowman, D. Schimel, N. C. Parazoo, Z. Jiang, M. Lee, A. A. Bloom, D. Wunch, C. Frankenberg, Sun, Y., C. W. O’Dell, K. R. Gurney, D. Menemenlis, M. Girerach, D. Crisp, and A. Eldering (2017), Contrasting carbon cycle responses of the tropical continents to the 2015-2016 El Nino, Science, doi: 10.1126/science.aam5690

13. Eldering, A., P.O., Wennberg, D. Crisp, D. S. Schimel, M. R. Gunson, A. Chatterjee, J. Liu, F. M., Schwandner, Sun, Y., C. W. D’Dell, C. Frankenberg, T. Taylor, B. Fisher, G. B. Osterman, D. Wunch, J. Hakkarainen, J. Tamminen, B. Weir (2017), The Orbiting Carbon Observatory-2 early science investigations of regional carbon dioxide fluxes, Science, doi: 10.1126/science.aam5745

12. Wright, J. S., R. Fu, J. Worden, S. Chakraborty, N. Clinton, Camille Risi, Sun, Y., and L. Yin (2017), A Wright, J. S., R. Fu, J. Worden, S. Chakraborty, N. Clinton, Camille Risi, Y. Sun, and L. Yin (2017), A rainforest-initiated wet season onset over the southern Amazon, Proc. Natl. Acad. Sci. U. S. Adoi: 10.1073/pnas.1621516114.

11. Keeling, R.F., H.D. Graven, L. R. Welp, L. Resplandy, J. Bi, S.C. Piper, Sun, Y., A. Bollenbacher, and H.A.J.Meijer (2017), Atmospheric evidence for a global secular increase in carbon isotopic discrimination of land photosynthesis, Proc. Natl. Acad. Sci. U. S. A, doi.org/10.1073/pnas.1619240114

10. Magney, T.S., C. Frankenberg, J.B. Fisher, Sun, Y., G.B. North, T.S. Davis, and A. Kornfeld (2017), Connecting active to passive fluorescence with photosynthesis: a method for evaluating remote sensing measurements of chlorophyll fluorescence, New Phytologist. doi: 10.1111/nph.14662

 

Prior to Cornell

9. Sun, Y., R. Fu, R. E. Dickinson, J. Joiner, C. Frankenberg, L. Gu, Y. Xia, and N. Fernando (2015), Drought onset mechanisms revealed by satellite solar-induced chlorophyll fluorescence: Insights from two contrasting extreme events, J. Geophys. Res. doi: 10.1002/2015JG003150 (featured as a Research Spotlight on EOS)

8. Gu, L., S. G. Pallardy, H. Kevin, and Sun, Y. (2015), Impacts of precipitation variability on plant species and community water stress in a temperate deciduous forest in the central US, Agric. For. Meteorol. doi.org/10.1016/j.agrformet.2015.11.014

7. Gu, L., S. G. Pallardy, K. P. Hosman, and Sun, Y. (2015), Drought-influenced mortality of tree species with different predawn leaf water dynamics in a decade-long study of a central US forest, Biogeosciences, doi.org/10.5194/bg-12-2831-2015, 2015

6. Sun, Y., L. Gu, R. E. Dickinson, R. J. Norby, S. G. Pallardy, and F. M. Hoffman (2014), Impact of mesophyll diffusion on estimated global land CO2 fertilization, Proc. Natl. Acad. Sci. U. S. A., doi.org/10.1073/pnas.1418075111

5. Sun, Y. et al. (2014), Asymmetrical effects of mesophyll conductance on fundamental photosynthetic parameters and their relationships estimated from leaf gas exchange measurements, Plant. Cell Environ.doi.org/10.1111/pce.12213 (featured on journal cover)

4. Gu, L., and Sun, Y. (2014), Artefactual responses of mesophyll conductance to CO2 and irradiance estimated with the variable J and online isotope discrimination methods., Plant. Cell Environ.doi.org/10.1111/pce.12232

3. Oleson, K. et al. (2013), Technical Description of version 4.5 of the Community Land Model (CLM), NCAR/TN–503+STR. Link

2. Sun, Y., L. Gu, and R. E. Dickinson (2012), A numerical issue in calculating the coupled carbon and water fluxes in a climate model, J. Geophys. Res.doi.org/10.1029/2012JD018059

1. Sun, Y., L. Gu, R. E. Dickinson, and B. Zhou (2012), Forest greenness after the massive 2008 Chinese ice storm: integrated effects of natural processes and human intervention, Environ. Res. Lett., 7(3), 035702, doi.org/10.1088/1748-9326/7/3/035702

 

Conference Proceedings

C2. *Tang, B., Sun, Y., Y. Liu, D. S. Matteson (2018), Dynamic Poverty Prediction with Vegetation Index, NIPS 2018 Workshop Spatiotemporal, https://openreview.net/forum?id=Hye0abRRtX

C1. Sun, Y., L. Hu, H. Liu (2007), A GIS-based approach for comparative analysis of potential fire risk assessment, Geoinformatics 2007: Geospatial Information Technology and Application, https://doi.org/10.1117/12.764645

Cornell University

Sun Lab © 2020

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Contact Info

 

ys776@cornell.edu

School of Integrative Plant Science (SIPS)

Soil and Crop Sciences Section (SCS)

College of Agriculture and Life Sciences (CALS)

Bradfield Hall 1023

306 Tower Rd, Ithaca, NY, 14850