Faculty

Xie Hu
Dr. Xie Hu, Ph.D.
Assistant Professor
Office Location: UH NCALM, 5000 Gulf Freeway, Bldg. 4, Rm 206, Houston, TX 77204-5059
Phone: 713-743-5167 | Fax: 713-743-4260
Email: xiehu [at] central [dot] uh [dot] edu

Education: 

Ph.D. Geophysics, Southern Methodist University, 2018
M.E. Remote Sensing, Wuhan University, 2013
B.E. GIS, China University of Geosciences, 2011

Professional Experience: 

Assistant Professor, University of Houston, 2020.8-
Postdoctoral Associate, University of California, Berkeley, 2018.9-2020.8
Research Associate, Southern Methodist University, 2018.3-2018.8
Graduate Research Assistant, Southern Methodist University, 2014.8-2018.3
Research Assistant, King Abdullah University of Science and Technology (KAUST), 2013

Classes: 

CIVE7397 SAR Remote Sensing (2020 Fall)

Research Interests: 

My research focuses on using geodetic remote sensing data, e.g., Synthetic Aperture Radar (SAR) and Global Positioning System (GPS), to characterize ground deformation associated with geohazard and surface process in various landscapes and geodynamic settings (e.g., landslides, aquifers, delta, dams, mines, and earthquakes). I have been engaged in investigating their natural or anthropogenic triggers and mechanisms using statistical, analytical, and numerical models. My interdisciplinary research spans the fields of geomatics, geotechnical engineering, geophysics, hydrology, geology, and tectonics.

Selected Publications: 

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.

Hu, X., Bürgmann, R., 2020, Aquifer dynamics in the seismically hazardous Salt Lake Valley, Utah, USA. Earth and Planetary Science Letters, 547.

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.

Hu, X., Bürgmann, R., 2020, Rheology of a debris slide from the joint analysis of UAVSAR and LiDAR data. Geophys. Res. Lett., 47, e2020GL087452.

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.

Hu, X., Lu, Z., Wang, T., 2018, Characterization of hydrogeological properties in Salt Lake Valley, Utah using InSAR. J. Geophys. Res. Earth Surface, 123.

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.

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.

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.

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.

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.