LiuHongxing

Tenure-Track Faculty

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HongxingLiu

Hongxing Liu

Title: Professor, Department Head, Director of GIESN
Office: 207 Braunstein Hall
Tel: 513-556-3451
Email: hongxing.liu@uc.edu
Web: http://giesn.uc.edu/hxliu

Education

  • Ph.D, The Ohio State University, Columbus, Ohio, 1999 (Geography).
  • Master of Urban & Regional Planning, University of Sydney, 1994
  • MS, Beijing (Peking) University, 1985 (Geography).
  • BS, Shaanxi Normal University, 1982 (Geography).

Research

Research Areas: Remote sensing, GIS Sensor Networks, Modeling, Hydrology, Cryosphere

Dr. Hongxing Liu is a professor in Department of Geography at University of Cincinnati. His research interests include GIScience, remote sensing, and environmental modeling. His research projects have been funded by NSF, NASA, NOAA Sea Grant Program, Texas Advanced Research Program, and other funding agencies. In his research work, various theoretical and methodological issues in GIScience and remote sensing have been addressed. 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.

Courses Taught

  • GEOG 1040 - Earth from Space
  • GEOG 1044 - Introduction to Natural Hazards and Disasters
  • GEOG 5174/6074 - Computer Analytical Cartography
  • GEOG 5196C/6096 - Advanced Remote Sensing & Image Analysis
  • GEOG 6089C - Digital Terrain and Watershed Analysis

Selected Publications

  • Wang, S., H. Liu, B. Yu, G. Zhou, and X. Cheng (2016), Revealing the early ice flow patterns with historical Declassified Intelligence Satellite Photographs back to 1960s, Geophysical Research Letters, 43(11), 5758-5767.
  • Wu, Q., H. Liu, S. Wang, B. Yu, R. Beck, and K. Hinkel (2015), A localized contour tree method for deriving geometric and topological properties of complex surface depressions based on high-resolution topographical data, International Journal of Geographical Information Science, 29(12), 2041-2060.
  • Su, H., H. Liu, L. Wang, A. M. Filippi, W. D. Heyman, and R. A. Beck (2014), Geographically adaptive inversion model for improving bathymetric retrieval from satellite multispectral imagery, IEEE Transactions on Geoscience and Remote Sensing, 52(1), 465-476.
  • Liu, H., L. Wang, S. J. Tang, and K. C. Jezek (2012), Robust multi-scale image matching for deriving ice surface velocity field from sequential satellite images, International Journal of Remote Sensing, 33(6), 1799-1822.
  • Liu, H., L. Wang, D. Sherman, Y. Gao, and Q. Wu (2010), An object-based conceptual framework and computational method for representing and analyzing coastal morphological changes, International Journal of Geographical Information Science, 24(7), 1015-1041.

Awards and Honors

  • John I. Davidson President’s Award for Practical Papers, American Society for Photogrammetry and Remote Sensing, 2009.
  • Distinguished Achievement Award in Teaching, College of Geosciences, Texas A&M University, 2005.
  • Best Paper Award, Journal of Computers & Geosciences, 2004.
  • NASA Group Achievement Award, 2000.

Graduate Students and Postdocs

  • Yang Liu
  • Song Shu
  • Shujie Wang
  • Min Xu
  • Bo Yang