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胡燮

职称:助理教授 | 研究员

研究方向:遥感 | 自然灾害

通讯地址:

Email:hu.xie@pku.edu.cn

个人简历 人才培养 科学研究 教研成果

个人简历

胡燮,公司博雅青年学者、研究员、博士生导师。从遥感、地理、地球物理多学科交叉视角,发展合成孔径雷达SAR影像和光学影像时序分析技术,研究自然过程和人类活动引起的地质与气候灾害,包括山体滑坡、内陆与沿海城市沉降、极端灾害事件造成地面扰动。获2022年AGU自然灾害领域青年科学家奖(AGU Early Career in Natural Hazards)、2021年NASA地球科学领域青年科学家奖(NASA Early Career in Earth Science)。发表论文二十余篇,以第一作者身份在专业期刊Earth and Planetary Science Letters | Geophysical Research Letters | Remote Sensing of Environment等发表论文十余篇,在综合交叉类期刊Nature Communications发表论文一篇。在Journal of Geophysical Research期刊发表论文下载量排名年度前十,研究成果被NASA等新闻媒体报道、入选NASA Feature Image。主持国家自然科学基金项目、NASA地球与空间科学研究基金项目及日本JAXA、德国DLR和西班牙INTA卫星数据项目,担任SCI期刊Pure and Applied Geophysics编辑。


课题组主页


教育经历

2014-2018       博士      地球物理                  美国南卫理公会大学

2011-2013       硕士       摄影测量与遥感       武汉大学

2007-2011       学士      地理信息系统          中国地质大学(武汉)


工作经历

2021.7至今           Tenure-track助理教授      公司 澳门游戏网站大全

2020.8-2021.6       Tenure-track助理教授      休斯顿大学 土木与环境工程学院

2018.9-2020.8       博士后研究员                   加州大学伯克利分校 地球与行星科学学院

2013                      科研助理                           沙特阿卜杜拉国王科技大学


荣誉与奖励

2022             美国地球物理学会AGU自然灾害领域青年科学家 Early Career Award

2021             美国航空航天局NASA地球科学领域青年科学家 Early Career Award

2015             美国航空航天局NASA地球与空间科学研究基金 Fellowship


项目

2023-2025   国家自然科学基金项目 (主持)

2023            国家自然科学基金专项项目月球与深空探测科学研究 (主持)

2023            2023年度新工科交叉青年专项 (主持)

2022-2025   Joint DLR-INTA Scientific Announcement of Opportunity (PI)

2022-2025   The 3rd Research Announcement on the Earth Observations (60 scenes quota; PI)

2021-2023   Utilization of TerraSAR-X / TanDEM-X Data for Scientific Use (150 scenes quota; PI)

2021-2024   NASA New (Early Career) Investigator Program in Earth Science ($375,000; PI)

2020-2021   Southern California Earthquake Center (SCEC) ($20,217; primary participant)        

2018-2021   California Energy Commission Program grant ($148,626; primary participant)      

2015-2019   NASA Earth Surface & Interior Program grant ($210,097; primary participant)

2015-2018   NASA Earth and Space Science Fellowship ($104,894; PI)


杂志任职

2021-           Pure and Applied Geophysics 副主编(大地测量和地质灾害领域)

2022-           Journal of Remote Sensing Young Editorial Board

2022-           Journal of Geodesy and Geoinformation Science Young Editorial Board


会员

AGU | EGU | IGARSS Membership

CYWater委员会委员

中国岩石力学与工程学会


项目评审

比利时科学政策办公室


会议召集 

2021 |2022 | 2023 European Geosciences Union

地质灾害与浅表过程遥感课题组接收摄影测量与遥感 | GIS | 人工智能 | 地球物理方向的本 | 硕 | 博士生和博士后。课题组竭诚欢迎感兴趣一起探索的同学加入我们团队!欢迎有意开展本科拔尖计划、保送研究生(参加2023年6月夏令营)、硕士和博士与我联系。


博士后申请者可关注

“博雅”博士后项目 https://postdocs.pku.edu.cn/

公司博士后申请程序、申请表及申请书等 https://postdocs.pku.edu.cn/bshyw/jzsq/index.htm


I am looking for highly motivated undergrads, graduates, and postdoctoral researchers who are dedicated to one or more research topics on remote sensing (e.g., SAR, GPS), hazards, AI, etc.

For international students who are intersted in undergrad and graduate programs http://www.isd.pku.edu.cn/HOME.htm

For international students who are intersted in postdoc positions. Our lab evolves interesting research data and topics to help strengthen your academic profile and early career development! The postdoc package includes good benefits in housing and healthcare as well as the national leading educational resources for kids. There are two application seasons for the university-wide Boya Postdoc Fellowship (due in March and September) https://postdocs.pku.edu.cn/. Other grants may also be available.

Please feel free to email me if you are interested.


课程设置

SAR Remote Sensing (研究生; 3学分)                      2023春 @ PKU

GIS高级技术与应用 (本科; 3学分)                           2022秋 @ PKU

CIVE 7397 SAR Remote Sensing (Grad; 3学分)       2020 Fall @ University of Houston


山体滑坡等地质灾害链地表形变特征提取与过程机制建模

人类活动与全球变化下内陆及沿海城市灾害监测与防治

多源形变特征与遥感大数据机器学习

岩石质行星陆面过程


更多信息请见研究主页 https://gsprs-pku.github.io


† Student/postdoc advisee  *Corresponding


Journal publications

24. Zheng, W., et al., 2023. Enhanced Kinematic Inversion of 3-D Displacements, Geometry, and Hydraulic Properties of a North-South Slow-Moving Landslide in Three Gorges Reservoir. Journal of Geophysical Research: Solid Earth.

23. Shi, X., Hu, X.*, 2023. Characterization of landslide displacements in an active fault zone in Northwest China. Earth Surface Processes and Landforms. https://doi.org/10.1002/esp.5594

22. Yu, X.†*, Wang, G., Hu, X., Liu, Y., Bao, Y., 2023. Land Subsidence in Tianjin, China: Before and after the South-to-North Water Diversion. Remote Sensing, 15(6), 1647. https://doi.org/10.3390/rs15061647  

21. Qi, S.*, Hou, X., Yu, Y., Zhang, Y., Hu, X., Zhang, L., Li, Z., Guo, S., Zhang, F., Li, T., Peng, J., 2022. Collapse and subsidence mechanism of compacted loess and suitability of mountain bulldozing and city creation projects in the Loess Plateau of China. Science Bulletin (科学通报).

20. Yu, X.†, Hu, X., Wang, G., Wang, K., Chen, X., 2022. Machine-learning estimation of snow depth in 2021 Texas statewide winter storm using SAR imagery. Geophys. Res. Lett., 49, e2022GL099119. https://doi.org/10.1029/2022GL099119

19. Zhou, C., Cao, Y., Hu, X., Yin, K.*, Wang, Y., Catani, F., 2022, Enhanced dynamic landslide hazard assessment using MT-InSAR method in the Three Gorges Reservoir Area. Landslides, 19, 1585–1597 (2022). https://doi.org/10.1007/s10346-021-01796-1

18. Hu, X.*, Xue, L., Bürgmann, R., Fu, Y., 2021, Stress perturbations from elastic loads and seismicity in the Salt Lake City region. Journal of Geophysical Research: Solid Earth, 126, e2021JB022362. https://doi.org/10.1029/2021JB022362

17. Hu, X.*, Bürgmann, R., Fielding, E.J., Xu, X., Zhen, L., 2021, Machine-learning characterization of tectonic, hydrological and anthropogenic sources of ground deformation in California. Journal of Geophysical Research: Solid Earth, 126, e2021JB022373. https://doi.org/10.1029/2021JB022373

16. Hu, X.*, Liang, X., Yu, Y., Guo, S., Cui, Y., Li, Y., Qi, S., 2021, Remote Sensing Characterization of Mountain Excavation and City Construction in Yan’an, China. Geophys. Res. Lett.48, e2021GL095230. https://doi.org/10.1029/2021GL095230

15. Shi, X.G., Hu, X.*, Sitar, N., Kayen, R., Qi, S., Jiang, H., Wang, X., 2021, Hydrological control shift from river level to rainfall in the reactivated Guobu Slope besides the Laxiwa hydropower station (China). Remote Sens. Environ.265, 112664. https://doi.org/10.1016/j.rse.2021.112664

14. Yu, H.†, Hu, X., 2021, Knowledge-aided InSAR phase unwrapping approach. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2021.3081039

13. Shi, G.Q., Ma, P.*Hu, X., Song, X., Huang, B., Lin, H., 2021, Surface response and subsurface features during the restriction of groundwater exploitation in Suzhou (China) inferred from decadal SAR interferometry. Remote Sens. Environ.256, 112327. https://doi.org/10.1016/j.rse.2021.112327

12. Shi, Z.M., Hu, X., Wang, C.-Y.*, 2021, Hydro-mechanical coupling in the shallow crust – insight from groundwater level and satellite radar imagery in a mining area. Journal of Hydrology594, 125649. https://doi.org/10.1016/j.jhydrol.2020.125649

11. Hu, X.*, Bürgmann, R., Schulz, W., Fielding, E.J., 2020, Four-dimensional surface motions of the Slumgullion landslide and quantification of hydrometeorological forcing. Nature Communications11, 2792. https://doi.org/10.1038/s41467-020-16617-7

10. Hu, X.*, Bürgmann, R., 2020, Aquifer deformation and active faulting in Salt Lake Valley, Utah, USA. Earth and Planetary Science Letters547. https://doi.org/10.1016/j.epsl.2020.116471

9. Hu, X.*, Bürgmann, R., Fielding, E.J., Lee, H., 2020, Internal kinematics of the Slumgullion landslide (USA) from high-resolution UAVSAR InSAR data. Remote Sens. Environ., 251. https://doi.org/10.1016/j.rse.2020.112057

8. Hu, X.*, Bürgmann, R., 2020, Rheology of a debris slide from the joint analysis of UAVSAR and LiDAR data. Geophys. Res. Lett., 47, e2020GL087452. https://doi.org/10.1029/2020GL087452

7. Hu, X.*, Bürgmann, R., Lu, Z., Handwerger, A. L., Wang, T., Miao, R., 2019, Mobility, thickness, and hydraulic diffusivity of the slow-moving Monroe landslide in California revealed by L-band satellite radar interferometry. Journal of Geophysical Research: Solid Earth124. https://doi.org/10.1029/2019JB017560

6. Hu, X.*, Lu, Z., Wang, T., 2018, Characterization of hydrogeological properties in Salt Lake Valley, Utah using InSAR. Journal of Geophysical Research: Earth Surface, 123. https://doi.org/10.1029/2017JF004497

5. Hu, X.*, Lu, Z., Pierson, T. C., Kramer, R., George, D. L., 2018, Combining InSAR and GPS to determine transient movement and thickness of a seasonally active low‐gradient translational landslide. Geophys. Res. Lett., 45, 1453–1462. https://doi.org/10.1002/2017GL076623

4. Hu, X., Oommen, T., Lu, Z.*, Wang, T., Kim, J. W., 2017, Consolidation settlement of Salt Lake County tailings impoundment revealed by time-series InSAR observations from multiple radar satellites. Remote SensEnviron., 202, 199–209. https://doi.org/10.1016/j.rse.2017.05.023

3. Hu, X., Wang, T., Pierson, T. C., Lu, Z.*, Kim, J. W., Cecere, T. H., 2016, Detecting seasonal landslide movement within the Cascade landslide complex (Washington) using time-series SAR imagery. Remote Sens. Environ., 187, 49–61. https://doi.org/10.1016/j.rse.2016.10.006

2. Kim, J.W., Lu, Z.*, Qu, F., Hu, X., 2015, Pre-2014 mudslides at Oso revealed by InSAR and multi-source DEM analysis. Geomatics, Natural Hazards and Risk, 6(3), 184–194. https://doi.org/10.1080/19475705.2015.1016556

1. Hu, X., Wang, T, Liao, M., 2014, Measuring coseismic displacements with point-like targets offset tracking. IEEE Geosci. Remote Sens. Lett., 11(1), 283–287. https://doi.org/10.1109/LGRS.2013.2256104


Under review 

4. Yang, L., Lu, Z.*, Zhao, C., Hu, X., Ouyang, C., Zhang, Q., Hazard analysis and flooding model of glacial lake outburst flood using multiple remote sensing methods.

3. Li, Y., Hu, X., Cui, Y., Ouyang, C., Increasing glacier-related hazards in High Mountain Asia.

2. Li, Y., Cui, Y., Hu, X., et al., Glacier retreat in Eastern Himalaya drives catastrophic glacier hazard chain.

1. Chen, X., et al., INVC-Investigation of the water vapor channel within the Yarlung Zangbo Grand Canyon, China.