（一）出版著作:

1. Huete, A. G. Ponce-Campos, Y. Zhang ,  N. Restrepo-Coupe, X.Ma, and M.-S. Moran. Measuring photosynthesis  (productivity) from space. Land Resources Monitoring, Modeling, and  Mapping with Remote Sensing in Remote Sensing Handbook (vol. 2) (Prasad  S. Thenkabail, Editor).

（二）代表性学术论文( * 通讯作者):

2021

54.  Zhang YG*,   Zhang Q., Liu L., Zhang YJ, Wang SQ, et al.  ChinaSpec: a Network for  Long-term Ground-based   Measurements of Solar-induced Fluorescence in  China. Journal of Geophysical Research - Biogeosciences, 2021, https://doi.org/10.1029/2020JG006042.

53.  Shan N, Zhang YG*,  Chen JM, Ju W, Migliavacca M, et al. A model for estimating  transpiration from remotely sensed solar-induced chlorophyll  fluorescence, Remote Sensing of Environment, 2021, 252(1):112134.

2020

52.  Zhang YG*, Migliavacca M., Penuelas J., Ju  W. Advances in hyperspectral remote sensing of vegetation traits and  functions. Remote Sensing of Environment, 2020, 252(1),DOI: 10.1016/j.rse.2020.112121

51. Wang S, Zhang YG*,  Ju W, Qiu B, Zhang Z. Tracking the seasonal and inter-annual variations  of global gross primary production during last four decades using  satellite near-infrared reflectance data. Science of the Total  Environment, 2020, 755(Pt 2):142569.

50. 詹春晖，章钊颖，张永光*. 日光诱导叶绿素荧光辐射传输模型研究进展. 遥感学报， 2020，24(8):945-959.

49. Wang Songhan, Yongguang Zhang*, Weimin Ju, Jing M. Chen, Philippe Ciais, Alessandro  Cescatti, Jordi Sardans, Ivan A. Janssens, MousongWu, Joseph A. Berry,  Elliott Campbell, Marcos Fernández-Martínez, Ramdane Alkama, Stephen  Sitch, Pierre Friedlingstein, William K. Smith, Wenping Yuan, Wei He,  Danica Lombardozzi, Markus Kautz, Dan Zhu, Sebastian Lienert, Etsushi  Kato, Benjamin Poulter, Tanja G. M. Sanders, Inken Krüger, Rong Wang,  Ning Zeng, Hanqin Tian, Nicolas Vuichard, Atul K. Jain, Andy Wiltshire,  Vanessa Haverd, Daniel S.Goll, Josep Peñuelas.  Recent global decline of CO2 fertilization effects on vegetation photosynthesis. Science, 2020, 370(6522), 1295-1300.

48. Wang, S., Y.G. Zhang*,W.  Ju,  A. Porcar-Castell, S. Ye,  Z. Zhang, C.Brümmer, M. Urbaniak, I.  Mammarella, R. Juszczak,  K. F. Boersma.  Warmer spring alleviated the  impacts of 2018 European summer heatwave and drought on vegetation  photosynthesis. Agricultural and Forest Meteorology, 2020.

47. Li J., Y.G. Zhang*, L Gu, Z. Li, J. Li, Q. Zhang, Z. Zhang, L. Song. Seasonal variations in  the relationships between sun-induced chlorophyll fluorescence and  photosynthetic capacity from leaf to canopy in a rice paddy. Journal of Experimental Botany, 2020, eraa408, https://doi.org/10.1093/jxb/eraa408

46. Zhang Z., Y.G. Zhang*,Y.  Zhang, J.M. Chen.Correcting Clear‐Sky Bias in Gross Primary Production  Modeling From Satellite Solar‐Induced Chlorophyll Fluorescence Data. JGR Biogeosciences, 2020, 125(9),https://doi.org/10.1029/2020JG005822

45. Zhang Z., Y.G. Zhang*,Q. Zhang, J.M. Chen, A. Porcar-Castell,  L. Guanter, Y. Wu, X. Zhang, H. Wang, D. Ding, Z. Li.Assessing bi-directional effects on the diurnal cycle of measured solar-induced chlorophyll fluorescence in crop canopies. Agricultural and Forest Meteorology, 2020, 295, 108147. https://doi.org/10.1016/j.agrformet.2020.108147

44. Zhang Z., Y.G. Zhang*, A.  Porcar-Castell, J. Joiner, L. Guanter, X. Yang, M. Migliavacca, et al.   Reduction of structural impacts and distinction of photosynthetic  pathways in a global estimation of GPP from space-borne solar-induced  chlorophyll fluorescence. Remote Sensing of Environment, 2020, 111722. https://doi.org/10.1016/j.rse.2020.111722

43. Zhang Z. Y.G. Zhang*,  Y. Zhang, N. Gobron, C. Frankenberg, S. Wang, Z. Li.The potential of  satellite FPAR product for GPP estimation: An indirect evaluation using  solar-induced chlorophyll fluorescence. Remote Sensing of Environment,  2020, 240, 111686. https://doi.org/10.1016/j.rse.2020.111686

42. Gao Y, Wang S, Guan K, Wolanin A, You L, Ju W, Zhang YG*.  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, 2020,  12(7):1111.

41. Li Z., Q. Zhang, J. Li, X. Yang, Y. Wu, Z. Zhang, S. Wang, H. Wang, Y.G. Zhang*. Solar-induced chlorophyll fluorescence and its link to canopy photosynthesis in maize from continuous ground measurements. Remote Sensing of Environment, 2020, 236, 111420. https://doi.org/10.1016/j.rse.2019.111420.

2019

40. Zhang, Z., Chen, J. M., Guanter, L., He, L., YG. Zhang*.  (2019). From canopy‐leaving to total canopy far‐red fluorescence  emission for remote sensing of photosynthesis: First results from  TROPOMI. Geophysical Research Letters, 46. https://doi.org/10.1029/2019GL084832.

39. Qiu B., J. M. Chen, W. Ju, Q. Zhang, Y. Zhang*. Simulating  emission and scattering of solar-induced chlorophyll fluorescence at  far-red band in global vegetation with different canopy structures. Remote Sensing of Environment, 2019, 233, 111373. https://doi.org/10.1016/j.rse.2019.111373  

38.Yaping Cai, Kaiyu Guan, David Lobell, Andries B Potgieter, Shaowen Wang, Jian Peng, Tianfang Xu, Senthold Asseng, Yongguang Zhang,  Liangzhi You and Bin Peng. Integrating satellite and climate data to  predict wheat yield in Australia using machine learning approaches. Agricultural and Forest Meteorology, 2019, 274, 144-159.

37. Wang S., W. Ju, J. Penuelas, A.Cescatti, Y. Zhou, Y. Fu, A. Huete, M. Liu, Y. Zhang*.Urban−rural gradients reveal joint control of elevated CO2 and temperature on extended photosynthetic seasons. Nature Ecology & Evolution, 2019, 3(7): 1076-1085. DOI: 10.1038/s41559-019-0931-1.

36. A. Wolanin, G. Camps-Valls, L. Gómez-Chova, G. Mateo-García, C. van der Tol, Y.Zhang, L.Guanter.  Estimating crop primary productivity with Sentinel-2 and Landsat 8  using machine learning methods trained with radiative transfer  simulations. Remote Sensing of Environment,2019, 225:441-457.

35. Bo Qiu, W. Li,  X. Wang, L. Shang, Q. Song, W. Guo, Y. Zhang*. Satellite-observed  solar-induced chlorophyll fluorescence reveals higher sensitivity of  alpine ecosystems to snow cover on the Tibetan Plateau. Agricultural and Forest Meteorology, 2019, 271:126-134.

34. Shan N., W. Ju, M. Migliavacca, D. Martini, L. Guanter, J.M. Chen, Y. Goulas, Y. Zhang*. Modeling canopy conductance and transpiration from solar-induced chlorophyll fluorescence. Agricultural and Forest Meteorology, 2019, 268, 189-201,https://doi.org/10.1016/j.agrformet.2019.01.031 

2018 

33. S. Wang, Y. Zhang*,  J.Hakkarainen, W.Ju, Y. Liu*, F. Jiang, W. He.  Distinguishing anthropogenic CO2 emissions from different energy intensive industrial  sources using OCO‐2 observations: a case study in northern China. Journal of Geophysical Research: Atmosphere, https://doi.org/10.1029/2018JD029005.

32. Z.Zhang, Y. Zhang*,  J. Joiner, M.Migliavacca. Angle matters: bidirectional effects impact  the slope of relationship between gross primary productivity and  sun‐induced chlorophyll fluorescence from Orbiting Carbon Observatory‐2  across biomes. Global Change Biology, 2018, https://doi.org/10.1111/gcb.14427.

31.  Song L., L. Guanter, K. Guan, L. You, A. Huete, W. Ju, Y. Zhang*.Satellite sun-induced chlorophyll fluorescence detects early response of winter wheat to heat stress in the Indian Indo-Gangetic. Global Change Biology, 2018, DOI: 10.1111/GCB.14302.

30.  Zhang Y. , X. Xiao, S.  Wolf, J.Wu, X.i Wu, B.Gioli, G. Wohlfahrt, A.  Cescatti, C. van der Tol, S.Zhou, C.M. Gough, P.  Gentine, Y. Zhang,  R. Steinbrecher and J. Ardö . Spatio-temporal Convergence of Maximum Daily Light‐Use Efficiency Based on Radiation Absorption by Canopy Chlorophyll.  Geophysical Research Letters, 2018, 15 April, https://doi.org/10.1029/2017GL076354 .  

29.   Zhang Y.* ,  L. Guanter, J. Joiner, L. Song, K. Guan. Spatially-explicit monitoring  of crop photosynthetic capacity through space-based chlorophyll  fluorescence data. Remote Sensing of Environment, 2018,210, 362-374. https://doi.org/10.1016/j.rse.2018.03.031

28.   章钊颖，王松寒，宋练，邱博，张永光* .日光诱导叶绿素荧光遥感反演及碳循环应用进展. 遥感学报, 2018 .

27.  Qiu B., Y. Xue, J. B. Fisher, W. Guo, J. A. Berry, Y. Zhang .  Satellite Chlorophyll Fluorescence and Soil Moisture Observations Lead  to Advances in the Predictive Understanding of Global Terrestrial  Coupled Carbon‐Water Cycles. Global Biogeochemical Cycles, 2018, https://doi.org/10.1002/2017GB005744.

26.   Zhang Y., X Xiao,  Y Zhang ,  S Wolf, S Zhou, J Joiner, L Guanter, et al. On the relationship between  sub-daily instantaneous and daily total gross primary production:  Implications for interpreting satellite-based SIF retrievals. Remote Sensing of Environment, 2018, 205, 276-289.

2017 

25. M Zan, Y Zhou, W Ju, Y Zhang ,  L Zhang, Y Liu. Performance of a two-leaf light use efficiency model  for mapping gross primary productivity against remotely sensed  sun-induced chlorophyll fluorescence data. Science of The Total Environment, 2017, 613, 977-989.

24. Qian Zhang, Jing M. Chen, Weimin  Ju, Huimin Wang, Feng Qiu, Fengting Yang, Weiliang Fan, Qing Huang, et  al. Improving the ability of the photochemical reflectance index to  track canopy light use efficiency through differentiating sunlit and  shaded leaves. Remote Sensing of Environment, 2017, 194: 1-15.

2016 

23. Yang H., Yang X., Zhang Y .,  Heskel M.A., Lu X., Munger J.W., Sun S., Tang J. Chlorophyll  fluorescence tracks seasonal variations of photosynthesis from leaf to  canopy in a temperate forest. Global Change Biology, 2016 Dec 14. doi: 10.1111/gcb.13590.

22. Ma X., Huete A., Cleverly J., Eamus D., Chevallier F., Joiner J., Poulter B., Zhang Y. ,  Guanter L., Meyer W., Xie Z., Ponce-Campos G. Drought rapidly  diminishes the large net CO2 uptake in 2011 over semi-arid Australia. Scientific Report, 2016 Nov 25; 6:37747. doi: 10.1038/srep37747.

21. Zhang Y.* ,  L. Guanter, J.A. Berry, C. van der Tol, X. Yang, J. Tang, F. Zhang.  Model-based analysis of the relationship between sun-induced chlorophyll  fluorescence and gross primary production for remote sensing  applications. Remote Sensing of Environment, 2016, 187, 145-155, 10.1016/j.rse.2016.10.016.

20. Walther S., Voigt M., Thum T., Gonsamo A., Zhang Y. ,  Koehler P., Jung M., Guanter L. Satellite chlorophyll fluorescence  measurements reveal large-scale decoupling of photosynthesis and  greenness dynamics in boreal evergreen forests. Global change biology, 2016, doi:10.1111/gcb.13200.

19. Wagle P., Y. Zhang* ,  C.Jin, and X. Xiao. Comparison of solar-induced chlorophyll  fluorescence, light-use efficiency, and process-based GPP models in  maize. Ecological Applications, 2016, 26(4), 1211–1222.

18. Zhang Y., X. Xiao, C. Jin, J. Dong, S. Zhou, P. Wagle, J. Joiner, L. Guanter, Y. Zhang ,  G. Zhang, Y. Qin, J. Wang, B. Moore III. Consistency between  sun-induced chlorophyll fluorescence and gross primary production of  vegetation in North America. Remote Sensing of Environment, 2016,183, 154-169.

17. Guan K., J. Berry, Y. Zhang ,  J. Joiner, L. Guanter, G. Badgley, and D. B. Lobell. Improving the  monitoring of crop productivity using spaceborne solar-induced  fluorescence. Global Change Biology, 2016, 22, 716–726, doi: 10.1111/gcb.13136.

2015 

16. Zhang Y. *,   M. Voigt, H. Liu. Contrasting responses of terrestrial ecosystem  production to hot temperature extreme regimes between grassland and  forest. Biogeosciences, 2015, 12, 549-556.

2014年 

15. Zhang Y. * ,  L. Guanter, J.A. Berry, C. van der Tol, J. Joiner, A. Huete, A.  Gitelson, M. Voigt, P. Kohler. Estimation of vegetation photosynthetic  capacity from space-based measurements of chlorophyll fluorescence for  terrestrial biosphere models. Global Change Biology, 2014/10, doi:  10.1111/gcb.12664.

14. Guanter L., Y. Zhang ,  M. Jung, J. Joiner, M.Voigt, J. A. Berry, C. Frankenberg, A. Huete, P.  Zarco-Tejada, J-E. Lee, M. S. Moran, G. Ponce-Campos, C. Beer, G.  Camps-Valls, N. Buchmann, D. Gianelle, K. Klumpp, A. Cescatti, J. Baker,  and T.J. Griffis. Linking large-scale chlorophyll fluorescence  measurements with crop gross primary production. PNAS, 2014 /6, doi:  10.1073/ pnas.1406996111.

13. Zhang Y. * ,  M. Voigt, H. Liu. Contrasting responses of terrestrial ecosystem  production to hot temperature extreme regimes between grassland and  forest. Biogeosciences, Discuss., 11, 1–21, 2014,  doi:10.5194/bgd-11-1-2014.

12. Joiner J., Y. Yoshida, A. P. Vasilkov, K. Schaefer, M. Jung, L. Guanter, Y. Zhang ,  S. Garrity, E. M. Middleton, K. F. Huemmrich, L. Gu. The seasonal cycle  of satellite chlorophyll fluorescence observations and its relationship  to vegetation phenology and ecosystem-atmosphere carbon exchange.  Remote Sensing of Environment, 2014,152, 375-391.

11. Guanter L.#, Y. Zhang# ,  M. Jung, J. Joiner, M.Voigt, J. A. Berry, C. Frankenberg, A. Huete, P.  Zarco-Tejada, J-E. Lee, M. S. Moran, G. Ponce-Campos, C. Beer, G.  Camps-Valls, N. Buchmann, D. Gianelle, K. Klumpp, A. Cescatti, J. Baker,  and T.J. Griffis. Global and time-resolved monitoring of crop  photosynthesis with chlorophyll fluorescence. PNAS , 2014/3, doi: 10.1073/pnas.1320008111 (共同一作, NASA and Science news report).

10. Moran M.S., G. Ponce, A.R. Huete, M.P., McClaran, Y. Zhang ,  , E. P. Hamerlynck, D. Augustine, S.G. Kitchen, and D. Peters.  Functional Response of U.S. Grasslands to the Early 21st Century  Drought. Ecology, 2014, 95:2121-2133.

2013年 

9. Ponce G., Moran M.S., A.R. Huete, Y. Zhang ,  C. Bresloff, T. Huxman, D. Bosch, M.P., McClaran, S.G. Kitchen, A.  Buda, S. Gunter, H. McNab, D. Peters, P. Starks, D.S. Montoya, T.  Heartsill, T. McVicar, D. Eamus, and R. Donohue. Ecosystem resilience  despite large-scale altered hydroclimatic conditions. Nature , 2013/1, DOI: 10.1038/nature11836.

8. Zhang Y. * ,  M.S. Moran, M.A. Nearing, G. Ponce, A.R. Huete, H S.G. Kitchen, J.A.  Morgan, M.P., McClaran, R.G. Denten, A. Buda, S. Gunter, H. McNab, D.  Peters, and P. Starks. Extreme precipitation patterns reduced  terrestrial ecosystem production across biomes. JGR-Biogeoscience, 2013,  doi:10.1029/2012JG002136. (AGU Research Spotlight ).

2012年 

 7. Zhang Y. * ,  M. Hernandez, E. Anson, M.A. Nearing, H. Wei, J.J. Stone, and P.  Heilman. Modeling climate change effects on runoff and erosion in  southeastern Arizona rangelands and mitigation with traditional  rangeland conservation practices. Journal of Soil and Water  Conservation. 2012, 08, 67:390-405.
 6. Wei, H., P. Heilman, J. Qi, M.A. Nearing, Z. Gu, Y. Zhang .  Using TIMESAT with AVHRR imagery to analyze phenology in China from  1982 to 2006. Frontiers in earth science.2012, 6(3): 227–2DOI  10.1007/s11707-012-0321-3.

2011年之前 

 5. Zhang Y.   *, M. A. Nearing, B. Liu, R.S. Van Pelt, J.J. Stone, H. Wei, R.L.  Scott. Comparative rates of wind versus water erosion from a small  semiarid watershed in southern Arizona, USA. Aeolian Research. 2011,  3:197-204.
 4. Zhang Y. ,  M. A. Nearing, X. Zhang, Y. Xie, H. Wei. Projected rainfall erosivity  changes under climate change from multimodel and multiscenario  projections in Northeast China. Journal of Hydrology. 2010, 384:97-106.
 3. Wu Y., Q. Zheng, Y. Zhang* ,  B. Liu, H. Cheng, Y. Wang. Development and sediment production of  gullies in black soil region of Northeast China. Geomorphology. 2008,  101:683- 691.
 2. Zhang Y. ,  Wu Y., Liu B., Zheng Q., Yin J. Characteristics and factors controlling  the development of ephemeral gullies in cultivated catchments of black  soil region, Northeast China. 2007. Soil and Tillage Research 2007,  96:28-41. (IF: 2.575, Citations: 54)
 1. Hu G., Wu Y., Liu B., Yu Z., You Z., Y. Zhang . Short-term gully retreat rates over rolling hill areas in black soil of Northeast China. 2007. Catena 2007, 71: 321-329.