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張堯

職稱:研究員

研究方向:全球變化遙感

通訊地址:城市與環(huán)境學(xué)院大樓266

Email:zhangyao@pku.edu.cn

個人簡歷 人才培養(yǎng) 科學(xué)研究 教研成果

English website

教育經(jīng)歷

2014/08-2017/12 美國俄克拉荷馬大學(xué),植物與微生物系,博士

2011/09-2014/06 西北農(nóng)林科技大學(xué),林學(xué)院,碩士

2007/09-2011/06 南京大學(xué),地理與海洋科學(xué)學(xué)院,學(xué)士


工作經(jīng)歷

2021/05 至今 北京大學(xué),城市與環(huán)境學(xué)院,助理教授/研究員

2019/08-2021/04 美國勞倫斯伯克利國家實驗室,博士后

2017/12-2019/07 美國哥倫比亞大學(xué),博士后


博士生導(dǎo)師/方向

植被遙感,全球環(huán)境變化,陸地生態(tài)系統(tǒng)碳水循環(huán),干旱等極端事件,機(jī)器學(xué)習(xí)


榮譽(yù)與獎勵

黃廷方/信和青年杰出學(xué)者獎(2025)

李小文遙感科學(xué)青年獎(2025)

北京大學(xué)優(yōu)秀班主任(2025)

北京大學(xué)青年教師教學(xué)基本功大賽三等獎(2025)

北京大學(xué)優(yōu)秀本科生畢業(yè)論文指導(dǎo)教師獎(2025)

北京大學(xué)優(yōu)秀研究生指導(dǎo)團(tuán)隊(2023)

JGR-Biogeoscience優(yōu)秀審稿人(2021)


雜志任職

Journal of Plant Ecology Senior Editor (2026-) 

Global Change Biology Editorial Advisory Board (2025-) 

《植物生態(tài)學(xué)報》編委(2024-)

《中國科學(xué):地球科學(xué)》編委(2023-2027)

Journal of Remote Sensing 青年編委 (2022-)       

《遙感技術(shù)與應(yīng)用》 青年編委 (2021-)


評審任職

項目評審

Reviewer for Belgian Science Policy Office (BELSPO) STEREO III (2018)

Reviewer for Elsevier book proposal (2019)

Reviewer for NASA ROSES proposal (2020)

期刊評審

Nature; Nature Climate Change; Nature Sustainability; Nature Geoscience; Nature Reviews Earth & Environment; Nature Communications; National Science Review; The Innovation; Science Bulletin; Science China-Earth Science; Annals of the New York Academy of Sciences.

Remote Sensing of Environment; ISPRS Journal of Photogrammetry and Remote Sensing; Journal of Remote Sensing; Earth System Science Data; IEEE journal of selected topics in applied earth observations and remote sensing; IEEE geoscience and remote sensing letters; IEEE transactions on geoscience and remote sensing; International Journal of Applied Earth Observation and Geoinfomation; International Journal of Digital Earth; International Journal of Remote Sensing; Journal of Applied Remote Sensing; Remote Sensing; Remote Sensing Letters; Computers and Electronics in Agriculture; Frontiers in Artificial Intelligence; 

Global Change Biology; New Phytologist; Geography and sustainability; Global Ecology and Biogeography; Agricultural and Forest Meteorology; Global and Planetary Change; njp Climate and Atmospheric Science; Communications Earth & Environment; Environmental Research Letters; Biogeosciences; Journal of Geophysical Research-Biogeoscience; Geophysical Research Letters; Ecological Applications; Landscape Ecology; Journal of Plant Ecology; Applied Goegraphy; Journal of Arid Environment; Journal of Meteorological Research;  


研究組常年招收碩士、博士、博士后。歡迎對全球變化遙感,陸地生態(tài)系統(tǒng)碳水循環(huán),氣候變化及陸氣反饋,土地利用變化,機(jī)器學(xué)習(xí)等研究方向感興趣的同學(xué)加入研究組。也歡迎做拔尖計劃的本科生加入。


講授課程

遙感原理與應(yīng)用  課程編號:12633120  專業(yè)必修  3學(xué)分 (主講)

陸氣相互作用與全球變化 課程編號:12610280  研究生課程  2學(xué)分 (主講)

陸面過程模型和植被遙感實習(xí)  課程編號:12633130  專業(yè)選修  2學(xué)分 (主講,參與)

自然地理博士生高級講座  課程編號:12610140  研究生課程 (參與)

自然地理學(xué)進(jìn)展   課程編號:12610010,研究生課程 (參與)

科技論文寫作   課程編號:12613610,研究生課程 (參與)


指導(dǎo)學(xué)生

鄧媛智子,2022級博士

邱靖皓,2023級博士

蔡孟陽,2023級博士

章紅穎,2024級博士

江源天,2025級博士

周煒熠,2025級博士


成競揚(yáng),2023級碩士

楊力嘉,2024級碩士

黃驥飛,2025級碩士

王敘雅,2026級碩士


陳慧娟,2022級本科

扎克婭,2023級本科


指導(dǎo)博士后

龔海波 (2023.09-)

邱若楠 (2024.09-) 博雅博士后,國家資助博士后,博士后面上,青年基金

馮思芳 (2025.09-) 博雅博士后


已畢業(yè)學(xué)生

黃驥飛(2023.09-2025.06 本科,北京大學(xué)優(yōu)秀畢業(yè)論文,未名學(xué)士,留組攻讀碩士


房佳寧 (2021.07-2021.09) 暑期訪問學(xué)生,美國哥倫比亞大學(xué)攻博

郭研 (2022.09-2024.06)  碩士(客座),美國印第安納大學(xué)攻博

楊天垚(2022.09-2025.06) 碩士,保險行業(yè)


譚深 (2021.12-2024.02) 博士后,北京林業(yè)大學(xué)講師,博士后面上基金

胡蝶 (2022.07-2024.06) 博雅博士后,中國地質(zhì)大學(xué)(北京)講師,博士后面上基金,青年基金

劉瑩 (2022.07-2025.04) 博士后,中國農(nóng)業(yè)大學(xué)副教授,青年基金, Nature Climate Change 一篇

李軍 (2022.11-2025.06) 博雅博士后,華南理工大學(xué)副教授,青年基金,Nature Communications 一篇




研究興趣

研究主要圍繞遙感方法和數(shù)據(jù)在全球變化中的應(yīng)用。基于新興遙感數(shù)據(jù)反演獲取植被的冠層結(jié)構(gòu),生理過程,功能服務(wù)等多個維度的信息,結(jié)合機(jī)器學(xué)習(xí),統(tǒng)計模型等分析方法,研究生態(tài)系統(tǒng)的狀態(tài)(states)、特征(traits)和速率(rates)。重點關(guān)注陸地生態(tài)系統(tǒng)碳水通量,植被物候變化對氣候變化的響應(yīng)與反饋,干旱等極端事件的產(chǎn)生機(jī)理及影響,人類活動、植被變化對地球系統(tǒng)的反饋等。

科研項目

國家自然科學(xué)基金優(yōu)秀青年科學(xué)基金(海外):全球變化植被遙感,2022/01-2024/12,主持

國家自然科學(xué)基金專項項目(42141005):中國陸地生態(tài)系統(tǒng)固碳速率及其不確定性、穩(wěn)定性和持續(xù)性研究,2022/01-2025/12,參與

國家自然科學(xué)基金面上項目(42371096):基于日光誘導(dǎo)葉綠素?zé)晒獾闹脖桓珊瞪眄憫?yīng)研究,2024/01-2027/12,主持

國家重點研發(fā)計劃課題(2023YFF0805702:長江流域復(fù)合型氣候極端事件對自然和社會經(jīng)濟(jì)系統(tǒng)影響,2023/12-2028/11,課題負(fù)責(zé)人

國家重點研發(fā)計劃專題(2024YFF1308101):生態(tài)脆弱區(qū)植被結(jié)構(gòu)復(fù)雜性與生態(tài)系統(tǒng)穩(wěn)定性的互饋機(jī)理,2024/12-2027/11,專題負(fù)責(zé)人

數(shù)據(jù)集

1. CSIF數(shù)據(jù)集 2000-2022

http://data.tpdc.ac.cn/en/data/d7cccf31-9bb5-4356-88a7-38c5458f052b/

2. VPM GPP 數(shù)據(jù) 2000-2018

500m https://doi.pangaea.de/10.1594/PANGAEA.879558?format=html#download

0.05度 http://data.tpdc.ac.cn/en/data/582663f5-3be7-4f26-bc45-b56a3c4fc3b7/


Google scholar: https://scholar.google.com/citations?user=r0l744oAAAAJ&hl=en

ResearchGate: https://www.researchgate.net/profile/Yao_Zhang29

H-index 62, Citations 13000 (google scholar)

斯坦福大學(xué)全球前2%科學(xué)家(2022-2024)

Clarivate Highly Cited Researcher (2024,2025)


第一/通訊作者文章

   32. Zhang, H., Zhang, Y.*, Miralles, D., Tai, X., Koppa, A., Yang, H., Sitch, S., O’Sullivan, M., Increase in plant reliance on past precipitation associated with greening and drying. Nature Ecology & Evolution (accepted)   

   31. Qiu, J., Zhang, Y.*, Cai, M., Keenan, T.F., Zhang, H., Gentine, P., Luo, X., Cattry, M., Zhou, S., Piao, S., (2025) Large contribution of antecedent climate to ecosystem productivity anomalies during extreme events Nature Geoscience https://doi.org/10.1038/s41561-025-01856-4 

   30. Deng, Y., Zhang, Y.*, (2025) The response of ecosystem marginal water use efficiency to soil drying. Agricultural and Forest Meteorology https://doi.org/10.1016/j.agrformet.2025.110800

   29. Cai, M., Zhang, Y.*, Qiu, J. (2025) Estimating ecosystem resilience from noisy observational data. Global Change Biology https://doi.org/10.1111/gcb.70730

   28. Yang, T., Gong, H., Zhang, Y.*, (2025) Higher sensitivity of L-Band Vegetation Optical Depth to Foliage than Total Aboveground Biomass, Geophysical Research Letters. https://doi.org/10.1029/2025GL115437 

   27. Liu, Y., Zhang, Y.*, Pe?uelas, P., Kannenberg, S.A., Gong, H., Yuan, W., Wu, C., Zhou, S., & Piao, S., (2025) Drought legacies delay spring green up in northern ecosystems. Nature Climate Change. https://doi.org/10.1038/s41558-025-02273-6 

   26. Lang, W., Zhang, Y.*, Li, X., Meng, F., Liu, Q., Wang, K., Xu, H., Chen, A., Pe?uelas, J., Janssens, I, & Piao, S.*, (2025) Phenological divergence between plants and animals under climate change. Nature Ecology & Evolution. https://doi.org/10.1038/s41559-024-02597-0

   25. Li, J., Zhang, Y.*, Bevacqua, E., Zscheischler, J., Keenan, T.F., Lian, X., Zhou, S., Zhang, H., He, M., & Piao, S., (2024) Future increase in compound soil drought-heat extremes exacerbated by vegetation greening. Nature Communications. https://doi.org/10.1038/s41467-024-55175-0 

   24. Cai, M., Zhang, Y.*, Guan, X., & Qiu, J., (2024) An adaptive spatiotemporal tensor reconstruction method for GIMMS-3g+ NDVI. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2024.114511 

   23. Tan, S., Zhang, Y.*, Qi, J., Su, Y., Ma, Q. & Qiu, J., (2024) Exploring the potential of GEDI in Characterizing Tree Height Composition based on Advanced Radiative Transfer Model Simulations. Journal of Remote Sensing. https://doi.org/10.34133/remotesensing.0132 

   22. Zhang, Y.*, Cai, M., Xiao, X., Yang, X., Migliavacca, M., Basara, J., Zhou, S., & Deng, Y. (2024) Immediate and lagged vegetation responses to dry spells revealed by continuous solar-induced chlorophyll fluorescence observations at a tall grass prairie. Remote Sensing of Environmenthttps://doi.org/10.1016/j.rse.2024.114080 

   21. Zhang, Q., Zhang, G.*, Zhang, Y.*, Xiao, X., You, N., Li, Z., Tang, H., Yang, T., Di, Y. & Dong, J.*, (2023) Coupling GEDI LiDAR and optical satellite for revealing large-scale maize lodging in Northeastern China. Earth Future. https://doi.org/10.1029/2023EF003590

   20. Zhang, Y.* & Penuelas, J.*, (2023) Combining solar-induced chlorophyll fluorescence and optical vegetation indices to better understand plant phenological responses to global change. Journal of Remote Sensing. https://doi.org/10.34133/remotesensing.0085

   19. Zhou, S.*, Yu, B., Lintner, B.R., Findell, K. & Zhang, Y.*,  (2023) Projected increase in global runoff dominated by land surface changes. Nature Climate Changehttps://doi.org/10.1038/s41558-023-01659-8 

    Web of Science Highly Cited (1% in Geoscience)

   18. Zhang, Y.*, Fang, J., Smith, W.K., Wang, X., Gentine, P., Scott, R., Migliavacca, M., Jeong, S., Litvak, M., Zhou, S., (2023) Satellite solar-induced chlorophyll fluorescence tracks physiological drought stress development during 2020 southwest US drought. Global Change Biology. https://doi.org/10.1111/gcb.16683 

      Highlighted by Science (https://doi.org/10.1126/science.adi2035)

   17. Hong, S., Zhang, Y., Yao, Y., Meng, F., Zhao, Q. & Zhang, Y.*, (2022) Contrasting temperature effects on the velocity of early- versus late-stage vegetation green-up in the Northern Hemisphere. Global Change Biology. https://doi.org/10.1111/gcb.16414

   16. Zhang, Y.*, Gentine, P., Luo, X., Xu, L., Liu, Y., Zhou, S., Michalak, A.M., Sun, W., Fisher, J.B., Piao, S.L. & Keenan, T.F.*, (2022) Increased sensitivity of dryland vegetation greenness to precipitation due to rising atmospheric CO2. Nature Communications. https://doi.org/10.1038/s41467-022-32631-3

     Web of Science Highly Cited (1% in Geoscience)

   15. Zhang, Y.*, Keenan, T.F.*, Zhou, S., (2021) Exacerbated drought impact on global ecosystem due to structural overshoot. Nature Ecology & Evolution. https://doi.org/10.1038/s41559-021-01551-8

     Web of Science Highly Cited (1% in Geoscience)

   14. Zhang, Y.*, Commane, R., Zhou, S., Williams, A.P. & Gentine, P. (2020) Light limitation regulates the response of autumn terrestrial carbon uptake to warming. Nature Climate Change. 10, 739-743, https://doi.org/10.1038/s41558-020-0806-0

   13. Zhang, Y.*, Parazoo, N., Williams, A.P., Zhou, S. & Gentine, P.* (2020) Large and projected strengthening moisture limitation on end-of-season photosynthesis. Proceedings of National Academy of Sciences. 117 (17) 9216-9222. https://doi.org/10.1073/pnas.1914436117

   12. Zhang, Y.*, Zhou, S., Gentine, P., & Xiao, X. (2019) Can vegetation optical depth reflect changes in leaf water potential during soil moisture dry-down events? Remote Sensing of Environment. 234, 111451. https://doi.org/10.1016/j.rse.2019.111451

   11. Zhang, Y.*, Joiner, J., Alemohammad, H., Zhou, S. & Gentine, P. (2018) A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks. Biogeosciences. 15, 5779-5800, https://doi.org/10.5194/bg-15-5779-2018

      Web of Science Highly Cited (1% in Geoscience)

   10. Zhang, Y.*, Xiao, X.*, Wolf, S., Wu, J., Wu, X., Gioli., B., Wohlfahrt, G., Cescatti, A., van der Tol, C., Zhou, S., Gough, C., Gentine, P., Zhang, Y., Steinbrecher, R., & Ard?, J. (2018) Spatio-temporal convergence of maximum daily light-use efficiency based on radiation absorption by canopy chlorophyll. Geophysical Research Letters. 45(8), 3508-3519. https://doi.org/10.1029/2017GL076354

   9. Zhang, Y.*, Joiner, J., Gentine, P., & Zhou, S. (2018) Reduced solar-induced chlorophyll fluorescence from GOME-2 during Amazon drought caused by dataset artifacts. Global Change Biology. 24(6), 2229–2230. https://doi.org/10.1111/gcb.14134

   8. Zhang, Y.*, Xiao, X.*, Zhang, Y., Wolf, S., Zhou, S., Joiner, J., Guanter, L., Verma, M., Sun, Y., Yang, X., Paul-Limoges, E., Gough, C., Wohlfahrt, G., Gioli, B., van der Tol, C., Yann, N., Lund, M., & Agnes de Grandcourt. (2018) On the relationship between sub-daily instantaneous and daily total gross primary production: implications for interpreting satellite-based SIF retrievals. Remote Sensing of Environment. 205, 276-289https://doi.org/10.1016/j.rse.2017.12.009

   7. Zhang, Y.*, Xiao, X.*, Wu, X., Zhou, S., Zhang, G., Qin, Y., & Dong, J. (2017). A global moderate resolution dataset of gross primary production of vegetation for 2000-2016. Scientific Data. 4, 170165, https://doi.org/10.1038/sdata.2017.165

       Web of Science Highly Cited (1% in Geoscience)

   6. Zhang, Y.*, Xiao, X.*, Guanter, L., Zhou, S., Ciais, P., Joiner, J., Sitch, S., Wu, X.C., Nabel, J., Dong, J.W., Kato, E., Jain, A.K., Wiltshire, A., & Stocker, B.D. (2016). Precipitation and carbon-water coupling jointly control the interannual variability of global land gross primary production. Scientific Reports. 6, 39748. https://doi.org/10.1038/srep39748

   5. Zhang, Y., Xiao, X.*, Jin, C., Dong, J., Zhou, S., Wagle, P., Joiner, J., Guanter, L., Zhang, Y., Zhang, G., Qin, Y., Wang, J., & Moore, B. (2016). Consistency between sun-induced chlorophyll fluorescence and gross primary production of vegetation in North America. Remote Sensing of Environment. 183, 154-169 https://doi.org/10.1016/j.rse.2016.05.015

       Web of Science Highly Cited (1% in Geoscience)

   4. Zhang, Y., Xiao, X.*, Zhou, S., Ciais, P., McCarthy, H., & Luo, Y. (2016). Canopy and physiological controls of GPP during drought and heat wave. Geophysical Research Letters. 43(7), 3325-3333 https://doi.org/10.1002/2016GL068501

   3. Zhang, Y., Peng, C.H., Li, W.Z.*, Tian, L.X., Zhu, Q.Q., Chen, H., Fang, X.Q., Zhang, G.L., Liu, G.M., Mu, X.M., Li, Z.B., Li, S.Q., Yang, Y.Z., Wang, J., & Xiao, X.M. (2016). Multiple afforestation programs accelerate the greenness in the 'Three North' region of China from 1982 to 2013. Ecological Indicators, 61, 404-412 https://doi.org/10.1016/j.ecolind.2015.09.041

   2. Zhang, Y., Li, W.*, Zhu, Q., Chen, H., Fang, X., Zhang, T., Zhao, P., & Peng, C.* (2015). Monitoring the impact of aerosol contamination on the drought-induced decline of gross primary productivity. International Journal of Applied Earth Observation and Geoinformation. 36, 30-40 https://doi.org/10.1016/j.jag.2014.11.006

   1. Zhang, Y., Peng, C., Li, W.*, Fang, X., Zhang, T., Zhu, Q., Chen, H., & Zhao, P. (2013). Monitoring and estimating drought-induced impacts on forest structure, growth, function, and ecosystem services using remote-sensing data: recent progress and future challenges. Environmental Reviews. 21(2), 103-115 https://doi.org/10.1139/er-2013-0006

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