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2024-06-24 03:21| 来源: 网络整理| 查看: 265

† 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, 171–180. 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 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

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



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