EN
易永红
研究员
陆面遥感和地表过程模拟
姓名: 易永红
性别:

职称:

研究员

籍贯:

湖北荆州

邮箱:

yonghong_yi@tongji.edu.cn

简介:

研究员,博导。主要研究方向为结合遥感观测和数值模型模拟、监测生态系统水-碳循环过程及其对气候变化的响应。在地学遥感领域一流期刊包括The Cryosphere, WRR, TGRS, RSE等发表SCI论文40余篇,总引用次数>1700,近5年共发表SCI文章20余篇,平均影响因子>7.0。获得多项美国航空航天局(NASA)、科技部和自然基金委项目资助,担任国际冻土会议分论坛和国际期刊专刊的召集人等,也是美国航空航天局高寒野外计划雷达冻土模型的主要负责人之一。2021年入选上海海外高层次人才。

   

工作经历:

· 2021.10-:           同济大学测绘与地理信息学院,研究员

· 2020.4-2021.9:  加州大学洛杉矶分校(UCLA)地球系统科学与技术研究所,助理研究员

· 2018.4-2020.3:  美国航空航天局(NASA)喷气推进实验室(JPL) ,项目研究员

· 2009.9-2018.3:  美国蒙大拿大学,林业系,研究科学家

· 2008.9-2009.8:  加拿大曼尼托巴大学,土木工程系,博士后


教育背景:

· 2005-2008 清华大学,博士(水利工程)

· 2002-2005 北京大学,硕士(地图学与地理信息系统)

· 1998-2002 武汉大学,学士(水文学与水资源工程)


主要研究方向:

· 全球变化与生态系统水碳过程变化遥感监测

· 冻土遥感制图与水热碳过程模拟

· 土壤水分与土壤碳遥感制图与反演

· 机器/深度学习模型算法发展及应用开发


学术兼职:

· Science Team Member: NASA Arctic Boreal Vulnerability Experiment (ABoVE), 2019-至今

· 项目评审委员: NSF Polar Programs (2016), NASA Water Resources Earth Science Applications (2014), NASA Interdisciplinary Research in Earth Science (2013)

· 期刊编辑及会议召集: Guest Editor (Frontiers in Big Data; Frontiers in Earth Sciences); Review Editor (Frontiers in Remote Sensing), Session convener (2021 Regional Conference on Permafrost)

· 期刊评审: Nature Geoscience, The Cryosphere, Water Resources Research, Journal of Geophysical Research, Remote Sensing of Environment, Global Change Biology, IEEE TGRS等领域一流期刊


近年来主要科研项目:

· 上海海外高层次人才项目,2021/10-2026/10, 200万,主持(在研)

· 国家重点研发计划,“陆气相互作用关键要素的卫星定量遥感反演”,2024/12-2029/11, 课题负责人(在研)

· 自然基金委面上项目,“耦合冻土水文过程和微波辐射传输的环北极土壤水分与有机碳联合反演”,2024/01-2027/12,48万,主持(在研)

· 上海市科委政府间国际科技科技合作项目,“青藏高原冻土区土壤碳循环对气候变化的响应及其与环北极的差异研究”,2023/09-2026/08,50万,主持(在研)

·  长江水利委员会长江科学院,“长江流域植被与蒸散发空间数据整理分析”,2024/07-2025/12,19.5万,主持(在研)

已结题项目:

· 科技部,第二次青藏高原综合科学考察研究专项第二期专题“水资源演变与适应性利用”,2022/11-2024/10,90万,子专题负责人(完成)

· 科技部,高端外国专家引进计划,“气候变化及野火频发背景下环北极加速融化碳排放估计”, 2022/01-2023/12, 29万,主持(完成)

· NASA Terrestrial Hydrology Program极地高分辨率土壤水分多源遥感数据融合算法研究”, 2021/04-2024/03, $60万,UCLA专题负责人(完成)

· NASA Terrestrial Ecology program, 雷达-土壤过程耦合模型开发及冻土过程研究,2019/04-2022/03, $78万,JPL专题负责人(完成)

· NASA NPP Program (Senior Fellow), 土壤水分对高寒区土壤冻融过程和非生长期呼吸量的模拟研究,2018/04-2020/03,$18万,主持(完成)


招收方向欢迎对全球变化和生态水文过程感兴趣的同学加入课题组攻读博士和硕士学位。课题组研究方向侧重遥感模型开发与应用,数理基础良好的同学优先考虑。将积极为同学们提供良好的科研环境和国际交流机会。

博士后招聘:欢迎对上述方向感兴趣的学者与我开展博士后合作研究,具体方向会根据项目需求和个人研究兴趣决定。

课题组网站:https://rswcl.github.io/



近期已发表SCI论文(*为本课题组论文):

1. Jiang, H., Yi, Y.*, Yang, K., Zhao, L., Chen, D., Kimball, J.S., Lu, F.: Soil Freeze/Thaw Dynamics Strongly Influences Runoff Regime in a Tibetan Permafrost Watershed: Insights from a Process-Based Model. Catena, 243 (2024) 108182, 2024.

2. He, M., Cui, J.*, Yi, Y.*, et al. Vegetation increases global climate vulnerability risk by shifting climate zones in response to rising atmospheric CO2. Science of The Total Environment, 949 (2024), 174810. 

3. Zhao, Y., Bakian-Dogaheh, L., Whitcomb, J., Chen, R.H., Yi, Y., Kimball, J.S., Moghaddam, M.: Integrating multi-source remote sensing data for mapping boreal forest canopy height and species in interior Alaska in support of radar modeling. Environmental Research Letters, 2024.

4. Liu, L., Yi, Y.*, Jiang, H., Ran, Y., Chen, D.: ERA5-Land overestimates runoff coefficient but underestimates runoff recession rate in the central Tibetan permafrost region. Journal of Hydrology: Regional studies, 53, 101792, 2024.

5. Miller, C. et al (including Yi, Y.): The ABoVE L-band and P-band airborne synthetic aperture radar surveys, Earth Syst. Sci. Data, 16, 2605–2624, 2024.

6. Whitcomb, J., Chen, R., Clewley, D., Kimball, J. S., Pastick, N. J., Yi, Y., & Moghaddam, M.: Maps of active layer thickness in northern Alaska by upscaling P-band polarimetric synthetic aperture radar retrievals. Environmental Research Letters, 19(1), 014046, 2024.

7. Liu, Z., Kimball, J. S., Ballantyne, A., Watts, J. D., Natali, S. M., Rogers, B. M., Yi, Y. et al.: Widespread deepening of the active layer in northern permafrost regions from 2003 to 2020. Environmental Research Letters, 19(1), 014020, 2024.

8. Jiang, H., Yi, Y.*, Xu, J., Chen, D., Lu, F., Li, R., Wang, X., Zhou, B.: Characterizing precipitation uncertainties in a high-altitudinal permafrost watershed of the Tibetan Plateau based on regional water balance and hydrological model simulations. Journal of Hydrology: Regional Studies. 2023.

9. Lu, P., Han, J., Yi, Y., Hao, T., Zhou, F., Meng X., Zhang, Y., Li, R.: InSAR unveils dynamic permafrost disturbances on Tibetan Plateau hinterland. IEEE Trans. Geosci. Remote Sensing, 2023.

10. Yi, Y.*, Bakian-Dogaheh, Moghaddam, M., Mishra, M., Kimball, J.S.: Mapping surface organic soil properties in Arctic tundra using C-band SAR data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2023.

11. Schiferl, L., Arndt, K., Biraud, S., Euskirchen, E.S., Henderson, J., Larson, E., McKain, K., Munger, J.W., Oechel, W., Sweeney, C., Watts, J.D., Yi, Y., Zona, D., and Commane, R.: Using atmospheric observations to quantify annual biogenic carbon dioxide fluxes on the Alaska North Slope. Biogeosciences, 2023.

12. Chang, T., Yi, Y.*, Wen, Y., Lu, P., Zhou, F., Meng, X., et al.: Bias Correction for ERA5-Land Soil Moisture Product Using Variational Mode Decomposition in the Permafrost Region of Qinghai–Tibet Plateau. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 7025–7041, 2022. 

13. Byrne, B., Liu, J., Yi, Y., Chatterjee, A., Basu, S., Cheng, R., Doughty, R., Chevallier, F., Bowman, K. W., Parazoo, N. C., Crisp, D., Li, X., Xiao, J., Sitch, S., Guenet, B., Deng, F., Johnson, M. S., Philip, S., McGuire, P. C., and Miller, C. E.: Multi-year observations reveal a larger than expected autumn respiration signal across northeast Eurasia, Biogeosciences, 2022.

14. Yi, Y.*, Chen, R. H., Kimball, J. S., Moghaddam, M., Xu, X., Euskirchen, E. S., et al.: Potential Satellite Monitoring of Surface Organic Soil Properties in Arctic Tundra From SMAP. Water Resources Research, 58(4), 2022.

15. Bakian-Dogaheh, K., Chen, R. H., Yi, Y., Kimball, J. S., Moghaddam, M., & Tabatabaeenejad, A.: A model to characterize soil moisture and organic matter profiles in the permafrost active layer in support of radar remote sensing in Alaskan Arctic tundra. Environmental Research Letters, 17(2), 025011, 2022.

16. Yi, Y.*, Chen, R.H., Moghaddam M., Kimball J.S., Jones, B.A., Jandt, R., Miller,E. Miller, C.: Sensitivity of multi-frequency polarimetric SAR data to post-fire permafrost changes and recovery processes in Arctic tundra. IEEE Trans. Geosci. Remote Sensing, 2022.

17. Kim, J., Kim, Y., Zona, D., Oechel, Park, S., Lee, B., Yi, Y., Erb, A., Schaaf, C.: Carbon response of tundra ecosystems to advancing greenup and snowmelt in Alaska. Nature Communications, 12(1), 6879, 2021.

18. Yi, Y.*, Kimball, J.S., Watts, J., Natali, S., Zona, D., Liu, J., Ueyama, M., Kobayashi, H., Oechel, W., and Miller, C.E.: Investigating the sensitivity of soil heterotrophic respiration to recent snow cover changes in Alaska using a satellite-based permafrost carbon model. Biogeosciences, 17, 5861-5882, 2020.

19. Jiang, H., Zhang, G., Yi, Y.*, Chen, D., Zhang, W., Yang, K., Miller, C.E.: Progress and challenges in studying regional permafrost in the Tibetan Plateau using satellite remote sensing and models. Frontiers in Earth Science, 8:560403, 2020.

20. Zheng, G., Yang, Y., Yang, D., Dafflon, B., Yi, Y., Zhang, S., Chen, D., Gao, B., Wang, T., Shi, R., and Wu, Q.: Remote sensing spatiotemporal patterns of frozen soil and the environmental controls over the Tibetan Plateau during 2002–2016. Remote Sensing of Environment, 247, 111927, 2020.

21. Jiang, H., Yi, Y.*, Zhang, W., Yang, K., Chen, D.: Investigating the sensitivity of soil freeze/thaw dynamics to environmental conditions at different scales in the Central Tibetan Plateau. Science of the Total Environment, 734, 129261, 2020.

22. Yi, Y.*, Kimball, J.S., Chen, R.H., Moghaddam, M., and Miller, C.E.: Sensitivity of active-layer freezing process to snow cover in Arctic Alaska, The Cryosphere, 13, 197-218, 2019.

23. He, M., Kimball, J.S., Yi, Y., Mu, Q., Running, S.W., Guang, K., Maneta, M.: Satellite data-driven modeling of field scale evapotranspiration in croplands using the MOD16 algorithm framework. Remote Sensing of Environment, 230, 2019.

24. Yi, Y.*, Kimball, J.S., Chen, R., Moghaddam, M., Reichle, R.H., Mishra, U., Zona, D., Oechel, W.: Characterizing permafrost soil active layer dynamics and sensitivity to landscape spatial heterogeneity in Alaska. The Cryosphere, 12, 145-161, 20


个人全部文章列表https://www.researchgate.net/profile/Yonghong-Yi-2