自然灾害遥感课题组竭诚欢迎 GIS | 遥感｜人工智能 | 地球物理方向品德优秀、勤于思考、乐于实践的本 | 硕 | 博士生和博士后加入我们团队！欢迎有意开展拔尖计划本科生、研究生（2027年及之后入学，2026年已无名额）、科研助理与我联系。

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  | 2024F

SAR Remote Sensing (研究生; 3学分)                    2023S  | 2024F

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

火星滑坡与月球及火星撞击坑

遥感大数据机器学习

更多信息请见自然灾害遥感NHRS课题组主页：https://gsprs-pku.github.io

算力：组内服务器三台，CPU均铂金系列以上，GPU显卡10+张，TB级内存，PB级存储；每位成员均配备工作站，部分高配显卡。

† Student/postdoc advisee in my lab  *Corresponding

Journal publications

2025

50. Song, Y.†, Hu, X.*, Xu, Y., Chen, G., Zhang, J., Li, Y., 2025. Co-seismic landslides and a massive lateral spread of the 2023 Jishishan earthquake in China characterized by intelligent remote sensing analysis. Journal of Geophysical Research: Earth Surface. https://doi.org/10.1029/2025JF008702

49. Lin, Y.†, Hu, X.*, Wang, F., Tang, Q., Zhao, Y., Li, Y., Li, T., Liu, C., Wang, X., Li, D., 2025. Quantifying the lifespan of 3D flood structures: unlocking the potential of flood detention areas for enhanced flood control in China. Water Resources Research, 61, e2025WR039992. https://doi.org/10.1029/2025WR039992 

48. An, N.*, Dai, Z., Hu, X.*, Wang, B., Huo, Z., Xiao, Y., Zhan, W., Yang, Y., 2025. Comparing landslide patterns and failure mechanisms in restored and native forest ecosystems: Insights from geomorphology, lithology and vegetation. Catena, 260, 109452. https://doi.org/10.1016/j.catena.2025.109452

47. Wang, G.*, Bao, Y., Zhang, S., Huang, G., Hu, X., 2025. ChangePointCNN-GNSS: an AI model for assessing change points and optimizing site velocity estimation from global GNSS data. Journal of Geophysical Research: Machine Learning and Computation, 2, e2025JH000910. https://doi.org/10.1029/2025JH000910

46. Yang, L., Lu, Z., Zhao, C.*, Hu, X., Wang, B., 2025. Kinematic glacier thickness inversion using 3D flow velocities from multi-track SAR images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 27340-27356. https://doi.org/10.1109/JSTARS.2025.3624258

45. Yang, L., Lu, Z.*, Zhao, C.*, Zhang, Q., Hu, X., Wang, B., 2025. Triggering factors and flooding processes of glacial lake outburst flood at Ranzerio lake. npj Natural Hazards, 2, 90. https://doi.org/10.1038/s44304-025-00147-7

44. Xue, L.*, Hu, X., Tang, Q., Qi, S., Moucha, R., 2025. Post-anthropogenic landscape evolution: Terrain reshaping and geomorphic response in the Loess Plateau. Geomorphology, 488, 109976. https://doi.org/10.1016/j.geomorph.2025.109976

43. Yang, L., Lu, Z.*, Zhao, C., Hu, X., Wang, B., 2025. Studying mass movement sources and potential glacial lake outburst flood at Jiongpu Co, southeastern Tibet, using multiple remote sensing methods and HEC-RAS model. Journal of Geophysical Research: Earth Surface, 130, e2024JF008067. https://doi.org/10.1029/2024JF008067 

42. Song, Y.†, Hu, X.*, Shi, X., Cui, Y., Zhou, C., Xu, Y., 2025. Hydrological proxy derived from InSAR coherence in landslide characterization. Remote Sensing of Environment, 322, 114712. https://doi.org/10.1016/j.rse.2025.114712 

41. Lin, Y.†, Hu, X.*, Lu, H.†, Niu, F., Liu, G., Huang, L., Zhu, H., Zhang, S., Liu, J., Liu, Y., 2025. Domain adaptive semantic segmentation of multi-annual retrogressive thaw slumps. Journal of Geophysical Research: Machine Learning and Computation, 1, e2024JH000370. https://doi.org/10.1029/2024JH000370 

40. Tian, S., Sha, A., Luo, Y., Ke, Y., Spencer, R., Hu, X., Ning, M., Zhao, Y., Deng, R., Gao, Y., Liu, Y., Li, D.*, 2025. A novel framework for river organic carbon retrieval through satellite data and machine learning. ISPRS Journal of Photogrammetry and Remote Sensing, 221, 109-123. https://doi.org/10.1016/j.isprsjprs.2025.01.028 

39. Tang, F., Qi, S., Guo, S.*, Li, Y., Guo, X., Lu, X, Zou, Y., Wang, X., Hu, X., Ma, L., Zheng, B., Wang, Z., 2025. The Influence of Reservoirs on Landslide Erosion. Remote Sensing, 17, 569. https://doi.org/10.3390/rs17040569 

2024

38. Lin, F.†, Hu, X.*, Lin, Y.†, Li, Y., Liu, Y., Li, D., 2024. Dual-branch multi-modal convergence for crater detection using Chang’e image. International Journal of Applied Earth Observation and Geoinformation, 134, 104215. https://doi.org/10.1016/j.jag.2024.104215 

37. 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 

36. Zheng, W., Hu, J.*, Lu, Z., Hu, X., Sun, Q., Liu, J., Huang, B. Enhancing 4-D landslide monitoring and block interaction analysis with a novel Kalman-Filter-Based InSAR approach. Journal of Geophysical Research: Earth Surface, 129, e2024JF007923. https://doi.org/10.1029/2024JF007923 

35. Li, X., Yu, X.†, Burgi, P., Wald, D., Hu, X., Xu, S.*, 2024. Rapid Building Damage Estimates from the M7.8 Turkey Earthquake sequence via Causality-informed Bayesian Inference from Satellite Imagery. Earthquake Spectra, 41(1). https://doi.org/10.1177/875529302412905 (Editor’s Choice)

34. Ye, X., Zhu, H.H.*, Wu, B., Tian, F., Zhang, W., Hu, X., Schenato, L., Pasuto, A., Catani, F., 2024. Near-surface soil hydrothermal response feedbacks landslide activity and mechanism. Engineering Geology, 341, 107690. https://doi.org/10.1016/j.enggeo.2024.107690

33. 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 

32. Thomas, J., Klida, R., Oommen, T.*, Sajinkumar, K.S., Zhang, B., Hu, X., 2024. Need for a multi-sensor monitoring approach for embankment failures: lessons learned from the Edenville Dam failure. Environmental & Engineering Geoscience, 30(1-2), 19–30. https://doi.org/10.21663/EEG-D-23-00056 

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 (Annual Cover Paper, sole)

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, 171–180. https://doi.org/10.1177/1420326X241234171 

2023

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.

2022

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 

2021

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 Plateau. Geophysical 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 

2020

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 

2019 and before

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