澳门威斯尼斯人wns8-澳门威斯尼斯wns888入口

个人简历

胡燮研究员，博雅青年学者，通过发展合成孔径雷达SAR影像分析技术在复杂地势环境、极端形变梯度中反演高精度时空四维形变，并通过水文地质、资源环境、水文气象、土木工程、地质构造、地球物理和机器学习的学科交叉，定量分析滑坡致灾机理、地下水蓄水能力及形变响应、坝体和矿区结构稳定性、内陆及沿海城市沉降、活动构造区应力扰动、极端天气引发地面扰动等。发表期刊论文二十余篇（Nature Communications | EPSL | GRL | JGR | RSE)。获AGU Natural Hazards Early Career Award、NASA Earth Science Early Career Award、NASA地球与空间科学研究基金，主持日本宇宙航空研究开发机构JAXA、德国宇航中心DLR和西班牙国家航空航天技术研究所INTA的卫星数据项目。

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助理教授澳门威斯尼斯人wns8 城市与环境学院

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

2014-2018 研究生科研助理美国南卫理公会大学地球科学学院

2013 科研助理沙特阿卜杜拉国王科技大学

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

荣誉与奖励

2022 美国地球物理学会Natural Hazards Early Career Award

2021 美国航空航天局NASA地球科学新人奖 Early Career Award

2018 国家优秀自费留学生奖学金

2018 国际大地测量与地球动力学论坛青年优秀报告

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

Grants:

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

Joint TSX/TDX/PAZ Characterization of Mountain Excavation and City Construction

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

Slow-moving Landslide Characterization Using SAR Remote Sensing

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

High-accuracy land deformation and surface change mapping for coastal resilience

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

Four-dimensional landslide quantification in the Western U.S. using remote sensing big data

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

Separation of tectonic, hydrological and anthropogenic sources of ground deformation in Southern California

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

Development of an integrated methodology for assessing integrity of levees protecting natural gas infrastructure

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

Environmental controls on landslide motion revealed by InSAR and pixel offset tracking

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

Quantifying landslide dynamics using InSAR: applications to landslides in northwestern USA

评审任职

协会

AGU | EGU | IGARSS Membership

CYWater 委员会委员

项目评审

比利时科学政策办公室

期刊审稿

1. Nature Communications; 2. Nature Reviews Earth & Environment; 3. Earth-Science Reviews; 4. Geophysical Research Letters; 5. Water Resources Research; 6. Journal of Geophysical Research Solid Earth; 7. Journal of Geophysical Research Earth Surface; 8. Remote Sensing of Environment; 9. Catena; 10. Landslides; 11. Engineering Geology; 12. Applied Geography; 13. Human and Ecological Risk Assessment; 14. Earth, Planets and Space; 15. IEEE Geoscience and Remote Sensing Letters; 16. IEEE Transactions on Intelligent Transportation Systems; 17. Pure and Applied Geophysics; 18. Earth and Space Science; 19. Human and Ecological Risk Assessment

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

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

† Student/postdoc advisee *Corresponding

Journal Publications

21. Qi, S., et al., 2022. 压实黄土场地湿陷沉降机理与黄土高原平山造城适宜性. 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. J. Geophys. Res. 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. J. Geophys. Res. 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 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 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. J. Geophys. Res. 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. J. Geophys. Res. 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 Sens. Environ., 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

8. Shi, X., Hu, X.*, Characterization of landslide displacements in active fault zone in Zhouqu, China.

7. 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.

6. Li, Y., Hu, X., Cui, Y.*, Long, D., Ouyang, C., Increasing glacier-related mass movement hazards in High Mountain Asia.

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

4. Yu, X.*, Wang, G., Hu, X., Liu, Y., and Bao, Y. Land subsidence in Tianjin, China: before and after the South-to-North Water Diversion

3. Yang, L., Hu, X., Ouyang, C.*, Lu, Z., Zhao, C., Zhang, Q., Wang, B. Kinematics and numerical simulation of Gglacier avalanches in Sedongpu basin, Southeastern Tibetan Plateau using multiple remote sensing methods.

2. Zheng, W., Hu, J.*, Lu, Z., Hu, X., Sun, Q., Liu, J., Zhu, J., Li, Z. Enhanced kinematic inversion of 3-D displacements, geometry, and hydraulic properties of a north-south slow-moving landslide in Three Gorges Reservoir.

1. Zhou, C., Gan, L., Cao, Y.*, Wang, Y., Motagh, M., Roessner, S., Hu, X., Catani, F., Yin, K. A novel framework for landslide displacement prediction using MT-InSAR and machine learning techniques.

地质灾害与浅表过程遥感课题组接收摄影测量与遥感 | 地质灾害 | 机器学习 | 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/

澳门威斯尼斯人wns8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), geological hazards, surface/shallow processes, machine learning, 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 (3学分) Graduate 2023 Spring @ PKU

GIS高级技术与应用 (3学分) Undergrad 2022 Fall @ PKU

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