个人简历

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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,北京大学博雅青年学者、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象灾害,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。荣获AGU自然灾害领域青年科学家奖(AGU Early Career in Natural Hazards)、NASA地球科学领域青年科学家奖(NASA Early Career in Earth Science)、北京市应急管理领域青年学科带头人称号。发表论文三十余篇,以第一作者身份在专业期刊Earth and Planetary Science Letters | Geophysical Research Letters | Journal of Geophysical Research 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: Solid Earth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Journal of Geophysical Research: Machine Learning and Computation期刊和Pure and Applied Geophysics期刊副主编。

自然灾害遥感课题组主页


教育经历

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


工作经历

2021至今          Tenure-track助理教授        北京大学 城市与环境学院

2020-2021       Tenure-track助理教授        休斯顿大学 土木与环境工程学院

2018-2020       博士后研究员                     加州大学伯克利分校 地球与行星科学学院


荣誉与奖励

2024            北京市青年人才托举工程

2023            北京市应急管理领域青年学科带头人

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

2024-2027    国家自然科学基金面上项目 (主持)

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

2024-           Journal of Geophysical Research: Machine Learning and Computation 副主编 (大地测量和自然灾害领域)

2021-            Pure and Applied Geophysics 副主编 (大地测量和自然灾害领域)

2022-           Journal of Remote Sensing 青年编委

2022-           Journal of Geodesy and Geoinformation Science 青年编委


会员

AGU | EGU | IGARSS Membership

CYWater委员会委员

中国岩石力学与工程学会


会议召集 

Since 2021   European Geosciences Union

自然灾害遥感课题组竭诚欢迎 GIS | 遥感|人工智能 | 地球物理|工程地质方向品德优秀、勤于思考、乐于实践的本 | 硕 | 博士生和博士后加入我们团队!欢迎有意开展本科拔尖计划、保送研究生(参加2024年夏令营)、硕士、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/

北京大学博士后申请程序、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), natural 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 (usually 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

GIS高级技术与应用 (本科; 3学分)                           2022F | 2023F 

SAR Remote Sensing (研究生; 3学分)                    2023S 

微波遥感地学专题应用 (研究生; 2学分)                    2023F 

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

山体滑坡形变观测与运动机理

人居环境地质灾害与流域洪涝灾害

全球变化下青藏高原冻土形变与退化

遥感大数据机器学习

岩石质行星滑坡与撞击坑


更多信息请见课题组主页 https://gsprs-pku.github.io


† Student/postdoc advisee  *Corresponding


Journal publications

33. Ao, Z., Hu, X.L., Tao, S.*, Hu, X., Wang, G., Li, M., Wang, F., Hu, L., Liang, X., Qi, W., Ran, Q., Yusup, A., Xiao, J., Fang, J., Chang, J., Zeng, Z., Fu, Y., Xue, B., Wang, P., Zhao, K., Li, L., Li, W., Li, Y., Jiang, M., Yang, Y., Shen, H., Zhao, X., Shi, Y., Wu, B., Yan, Z., Wang, M., Su, Y., Hu, T., Ma, Q., Bai, H., Wang, L., Yang, Z., Feng, Y., Zhang, D., Huang, E., Pan, J., Ye, H., Yang, C., Qin, Y., He, C., Guo, Y., Cheng, K., Ren, Y., Yang, H., Zheng, C., Zhu, J., Wang, S., Ji, C., Zhu, B., Liu, H., Tang, Z., Wang, Z., Zhao, S., Tang, Y., Xing, H., Guo, Q., Liu, Y., Fang, J., 2024. A national-scale assessment of land subsidence in China’s major cities. Science, 384(6693), 301-306. https://doi.org/10.1126/science.adl4366

32. Zhou, C., Cao, Y.*, Gan, L., Wang, Y., Motagh, M., Roessner, S., Hu, X., Yin, K., 2024. A novel framework for landslide displacement prediction using MT-InSAR and machine learning techniques. Engineering Geology, 334, 107497. https://doi.org/10.1016/j.enggeo.2024.107497

31. Li, Y., Cui, Y.*, Hu, X., Lu, Z., Guo, J., Wang, Y., Wang, H., Wang, S., Zhou, X., 2024. Glacier retreat in Eastern Himalaya drives catastrophic glacier hazard chain. Geophysical Research Letters, 51, e2024GL108202. https://doi.org/10.1029/2024GL108202

30. Welch, J., Wang, G.*, Bao, Y., Zhang, S., Huang, G., Hu, X., 2024. Unveiling the hidden threat: drought-induced inelastic subsidence in expansive soils. Geophysical Research Letters, 51, e2023GL107549. https://doi.org/10.1029/2023GL107549 

29. Yu, X.†, Hu, X.*, Song, Y.†, Xu, S., Li, X., Song, X., Fan, X., Wang, F., 2024. Intelligent assessment of land surface damage in 2023 Turkey-Syria Earthquake by multiple remote sensing observations. npj Natural Hazards, 1, 3. https://doi.org/10.1038/s44304-024-00003-0

28. Chen, X.*, Xu, X., Ma, Y.*, Wang, G., Chen, D., Cao, D., Xu, X., Zhang, Q., Li, L., Liu, Y., Liu, L., Li, M., Luo, S., Wang, X., Hu, X., 2024. Investigation of precipitation process in the water vapor channel of the Yarlung Zsangbo Grand Canyon. Bulletin of the American Meteorological Society, E370–E386. https://doi.org/10.1175/BAMS-D-23-0120.2

27. Wang, F.*, Xue, P., Su, W., Hu, X., 2024. The locality-adaptation theory of traditional villages. Indoor and Built Environment, 86, 171180. https://doi.org/10.1177/1420326X241234171

26. Yang, L., Lu, Z., Ouyang, C., Zhao, C.*, Hu, X., Zhang, Q., 2023. Glacial lake outburst hazard monitoring and flooding modeling by integrating multiple remote sensing methods and HEC-RAS. Remote Sensing, 15(22), 5327. https://doi.org/10.3390/rs15225327

25. Zheng, W., Hu, J.*, Lu, Z., Hu, X., Sun, Q., Liu, J., Zhu, J., Li, Z., 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, 128, e2022JB026232. https://doi.org/10.1029/2022JB026232

24. 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

23. 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

22. Li, X., Dimasaka, J., Zhang, X., Yu, X.†, Wang, C., Hu, X., Noh, H. Y., Zhao, X., Xu, S.*, 2023. Seismic impacts report for M7.8 and M7.5 Turkey-Syria earthquake using near real-time crowdsourcing and remote sensing information. DesignSafe-CI.

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.

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. Geophysical Research Letters, 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 hydrological and industrial 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 active 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 Loess PlateauGeophysical Research Letters, 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 Sensing of Environment, 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 Sensing of Environment, 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 Hydrology, 594, 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 Communications, 11, 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 Letters, 547. 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 Sensing of Environment, 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. Geophysical Research Letters, 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 Earth, 124. 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. Geophysical Research Letters, 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 Sensing of Environment, 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 Sensing of Environment, 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 Geoscience and Remote Sensing Letters, 11(1), 283–287. https://doi.org/10.1109/LGRS.2013.2256104