个人简历

获得首届“李小文遥感科学奖”和2019年自然资源学会青年科技奖。主要从事植被叶绿素荧光遥感 和陆地碳循环研究，建立了基于植被荧光遥感的生态系统GPP和最大羧化率遥感反演新方法。发表论文60余篇，论文发表在Science，Nature, Nature Ecology&Evolution, PNAS, Global Change Biology, Remote Sensing of Environment等期刊上，主持国家自然科学基、国际合作项目、科技部重点研发计划项目课题等科研项目10余项。
主要研究兴趣：植被定量遥感，陆地碳循环，叶绿素荧光遥感
教育经历
2006年09月- 2010 年07月, 博士, 自然地理学, 北京师范大学地理与遥感科学学院
2003年09月- 2006 年07月, 硕士, 自然地理学, 北京师范大学资源学院
1999年09月- 2003 年07月, 学士, 资源环境与城乡规划管理, 吉林大学地球科学学院
工作经历
2015年10月 –至今南京大学，国际地球科学研究所，教授/博导
2012年10月 – 2015年9月德国地学研究中心(GFZ)/柏林自由大学，博士后
2012年08月 – 2012年10月德国慕尼黑国防军大学水文科学研究所，访问学者
2009年12月 – 2012年7月亚利桑那大学/美国农业部西南流域研究中心，博士后
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).
主要科研项目
1. 国家自然科学基金面上项目（2021.01~2024.12），项目负责人，经费55万元.
2. 国家重点研发计划项目课题（2019.11~2024.10），课题负责人，经费415万元.
3. 国家自然科学基金国际合作项目（2018.01~2020.12），项目负责人，经费180万元.
4. 国家自然科学基金面上项目（2017.01~2020.12），项目负责人，经费65万元.
5. 国家重点研发计划项目专题（2016.07~2021.07），专题负责人，经费140万元.
6. 江苏省杰出青年基金项目（2017.07~2020.06），项目负责人，经费100万元.
奖励荣誉
2021： 地理学会2020年十大科技进展
2019： 自然资源学会青年科技奖
2017： 李小文遥感科学奖
2010： 北京师范大学第一届'周廷儒奖‘
2009： 北京师范大学'求是奖

研究领域

高光谱遥感，植被定量遥感、叶绿素荧光遥感，光合作用及荧光模拟、全球变化生态学等""

近期论文

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.
编委 Remote Sensing
编委 Journal of Plant Ecology
副主编 Journal of Remote Sensing
副主编 International Soil and Water Conservation
客座编辑（Guest editor） Remote Sensing of Environment
国际数字地球学会中国国家委员会数字山地专业委员会 委员
自然资源学会资源信息专委会 副主任委员
2016-2021 美国地球物理学会（AGU) 植被荧光遥感 session chair
2019 欧洲地球物理学会（EGU) 植被荧光遥感 session chair
期刊审稿人：
Nature Climate Change, Agricultural and Forest Meteorology 、Remote Sensing of Environment 、Biogeosciences 、Remote Sensing 、Hydrology Processes 、Earth Surface Processes and Landforms 、Transaction of the ASABE 、Canadian Journal of Soil Science 、Soil Science Society of American Journal 、Journal of Soil and Water Conservation 、Journal of Environmental Quality 、Catena