Professor, Remote sensing, GIS, sensor network, modeling, hazards
207 Braunstein Hall
513-556-3451
honxing.liu@uc.edu
http://www.geography.uc.edu/~hxliu

Professional Summary

Dr. Hongxing Liu is a professor in Department of Geography at University of Cincinnati. His research interests include remote sensing, GIScience and natural hazards. His research projects have been funded by NSF, NASA, NOAA Sea Grant Program, Texas Advanced Research Program, and other funding agencies. Dr. Liu has also made research efforts to address theoretical and methodological issues in GIScience and remote sensing. He has received a number of prestigious awards, including NASA Group Achievement Award, the Best Paper Award from Computers & Geoscience, John Davidson President's Award for Practical Papers from the American Society for Photogrammetry and Remote Sensing (ASPRS), and the Distinguished Achievement Award in Teaching from Texas A&M University.

Education

Ph.D, The Ohio State University, Columbus, Ohio, 1999 (Geography).

Research Interests

Subject interests:
remote sensing, GIScience, sensor network, terrain analysis, hydrological modeling, coastal habitat and geomorphology, glacial dynamics, urban spatial structures, and natural hazards.
Theoretical and methodological interests:
object-oriented image analysis, spatio-temporal modeling, multi-scale representation, and localized inversion models.

Peer Reviewed Publications

Liu, H., L. Wang, D. Sherman, Y. Gao, Q. Wu (2009). (In Press). An object-based conceptual framework and computational method for representing and analyzing coastal morphological changes. International Journal of Geographical Information Sciences.

Yu, B., H. Liu, J. Wu and W. Lin (2009). Investigating impacts of urban morphology on spatio-temporal variations of solar radiation with airborne LiDAR data and a solar flux model. International Journal of Remote Sensing, 30(17), 4359, 4385.

Liu, H., J. Yu, Z. Zhao, and K. Jezek (2008). Incorporation of Flow Stripes as Constraints for Calibrating Ice Surface Velocity Measurements from Interferometric SAR Data. Photogrammetric Engineering & Remote Sensing, 72(12), 1501, 1508.

Liu, H., and L. Wang (2008). Mapping Detention Basins and Deriving their Spatial Attributes from Airborne LiDAR Data for Hydrological Applications. Hydrological Processes, 22, 2358, 2369.

Liu, H., Z. Zhao, J. Yu, and K. Jezek (2008). Simultaneous Least-squares Adjustment of Multi-Frame Velocities Derived from Interferometric and Speckle Tracking Methods. IEEE Transactions on Geoscience and Remote Sensing Letters, 5(2), 289, 293.

H. Su*, H. Liu, and W. Heyman (2008). Automated Derivation of Bathymetric Information from Multi-Spectral Satellite Imagery using a Non-Linear Inversion Model. Marine Geodesy, 31(4), 281, 298.

Courses Taught

Geog676, Recent Advances in Remote Sensing Technology and Image Analysis.

Geog592, Digital Terrain and Watershed Analysis.

Goeg587, Natural Hazards: Causes, Patterns and Mitigation.